Archives: Press

End-to-End, SQL-based Streaming Data Platform Simplifies and Speeds Delivery of Kafka-driven Analytics Applications; Augments Exactly Once Processing Guarantees

PALO ALTO, CA, August 28, 2017 – Striim, Inc., provider of the leading end-to-end, real-time data integration and streaming analytics platform, today announced that it has launched version 3.7.4 of the Striim^™ platform, bolstering its ease of use, connectivity, manageability, and scalability for delivering streaming analytics applications involving Apache Kafka.

The Striim platform’s enterprise-grade, Apache Kafka integration and SQL-based Kafka data processing has been generally available for several product releases, and boasts numerous deployments among Fortune 500 customers. These customers are using the Striim solution to enable high-volume, high-velocity data correlation and analytics involving Kafka data, along with other enterprise data sources. Based on input from these production customers, Striim has further strengthened the platform’s ease-of-use, connectivity, manageability, and scalability in support of Kafka-related deployments.

“It’s a daunting challenge, integrating multiple tiers when building Streaming Applications with Kafka as an underlying message store. Striim makes that problem go away,” said Alok Pareek, co-founder and EVP of Products at Striim. “For several years, Striim has been the leader in defining an integrated Streaming Data Platform that includes not just Kafka, but also SQL-based applications and universal connectivity with a wide variety of event delivery semantics. With the 3.7.4 release, we have added Kafka diagnostic utilities, advanced monitoring metrics, and additional connectors to reduce the complexity of managing Kafka in production environments.”

Striim 3.7.4 introduces new utilities specifically designed to speed the adoption of Kafka as part of an end-to-end flow. These utilities help users quickly and easily scale Kafka applications by gathering baseline performance metrics for real world applications that involve parsing, formatting, buffer management, and external connectivity. These enhancements in the Kafka producer, consumer, and broker metrics help increase the monitoring, manageability and scalability of Kafka streaming applications.

SQL-query-based processing and analytics, a drag-and-drop UI, configuration wizards, and custom utilities such as these make the Striim platform the easiest solution to deliver end-to-end streaming integration and analytics applications involving Kafka.

In addition, Striim has bolstered the platform’s connectivity with hundreds of data sources and targets to include a new real-time Smart NetFlow Reader. The Striim Cloud Readiness offering for Kafka has also been expanded, enabling writing from Kafka queues to AWS Redshift and S3, Google Cloud, and several Microsoft Azure solutions including Azure SQL Server, Azure Storage, and Azure HDInsight.

In the area of Kafka stream processing, Striim has augmented its solution’s Exactly Once Processing (E1P) guarantees across the data pipeline, spanning the entire end-to-end streaming architecture. Because Apache Kafka is built into the Striim platform, a parallel Kafka stream can act as an intermediary persistent store, helping to ensure that users are processing and writing data once and only once.

About Striim + Apache Kafka

The Striim platform offers end-to-end, real-time data integration and streaming analytics across all aspects of streaming data management, including Kafka. With the Striim solution, companies can continuously ingest from Kafka as a data source, and/or continuously write to Kafka as a target. The Striim offering also ships with Apache Kafka built into the platform, allowing Kafka to become transparent to the user, and its capabilities harnessed without having to code APIs.

Read more about how Striim helps companies get more from their Apache Kafka implementation in our new blog series, “Making the Most of Apache Kafka.” Or download Striim v3.7.4 and try out these recent enhancements for Kafka users.

About Striim

The Striim^™ (pronounced “stream”) platform is an enterprise-grade, real-time data integration and intelligence solution. The platform makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use the Striim platform to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

Contact:

Ryan Siss
Striim, Inc.
(650) 241-0680 ext. 238
ryan@striim.com

###

PALO ALTO, CA, July 25, 2017 – Striim, provider of the leading end-to-end data integration and streaming analytics platform, announced today that Striim for IoT has received the 2017 Product of the Year Award from IoT Evolution magazine and IoT Evolution World, the leading magazine and Web site covering IoT technologies.

“Striim for IoT was developed to meet the three primary challenges to effective IoT data management: managing the tsunami of data generated by IoT devices; integrating IoT data with the enterprise and analyzing it in real time; and addressing security issues associated with the explosion of connected devices,” stated Steve Wilkes, Co-Founder and CTO of Striim. “We’re thrilled that Striim for IoT has been recognized so highly by IoT Evolution.”

“The solutions selected for the IoT Evolution Product of the Year Award reflect the diverse range of innovation driving the machine-to-machine market today. It is my honor to congratulate Striim for their innovative work and superior contribution to the rapidly evolving IoT industry,” said Carl Ford, CEO of Crossfire Media, a co-publisher of IoT Evolution.

“It is my pleasure to recognize Striim for IoT, an innovative solution that earned the company the 2017 IoT Evolution Product of the Year Award,” said Rich Tehrani, CEO, TMC. “I look forward to seeing more innovation from Striim in the future.”

Award winners will be published in the next issue of IoT Evolution magazine.

Along with the 2017 IoT Evolution Product of the Year Award, Striim was also presented with the Award for Best IoT-Specific Code or Development Solution at IoT Evolution Expo in July.

Learn why Striim for IoT was recognized so highly by IoT Evolution by reading the related blog post, the Striim for IoT press release, or Striim’s solutions page for IoT.

About Striim

Striim® (pronounced “stream”) is an enterprise-grade, real-time data integration and intelligence platform. Striim makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. Please visit www.striim.com, read our blog at www.striim.com/blog, follow @striimteam, or download the Striim platform.

“End-of-day batch processing is great for understanding what happened yesterday. Real-time streaming analytics provides up-to-the-millisecond intelligence.” This is how Joel Shore, news writer for TechTarget’s SearchCloudApplications site, highlights the benefits of real-time streaming analytics as opposed to traditional methods in his Q&A session with Steve Wilkes, founder and CTO of Striim.

Life moves at an event-driven pace, not batch capture, so being armed with information the moment data is created is important, especially in fast-paced environments such as finance and retail where the data is only actionable for so long.

One standout conversational topic in the interview is when Steve talks about the importance of in-memory processing for streaming analytics. Based on the incredible amount of data the world is generating today, it’s no longer feasible to store data and analyze it later. Steve states, “When you think about real-time processing, you have to decide: What is it that I need to know right now, and what is it about my data that could make it volatile or perishable?”

Rather than landing on disk fist, in-memory computing (IMC) allows companies to gain insights from their data while it’s streaming before it loses operational value, thus allowing for critical data-driven decision-making.

While at Cloud Expo, Steve presented a track entitled, “Streaming Analytics at the Intersection of IoT, Enterprise and Cloud: Four Case Studies.” Following this session, Joel and Steve discussed at length how streaming analytics can be used in environments such as cloud, on-premise and at the edge. In their Q&A, they further discuss the flexibility and integration of streaming analytics in these digital environments.

With memory costs dropping and processing growing more powerful, streaming analytics is the evolutionary next step in data management. Learn more about what Steve has to say by reading this Q&A: What You Need to Know About Real-Time Streaming Analytics.

In a feature article on Cloud Computing Magazine, Steve Wilkes spoke with TMCNet’s Eric Linask about the capabilities of Striim and how our platform is helping modernize the way enterprise companies interact and use data to drive actionable business intelligence – all in real time.

An important element of the conversation pertained to the current adoption and future direction of data management. With data being born from a variety of sources, Steve discussed how the storage and analysis of these volumes of data is one of the main obstacles in providing access to real-time business information.

The world is producing more data than can be physically stored, so it’s critical for enterprise companies to 1) ingest and store only the most relevant information, and 2) gain insights on this data before it loses operational value.

To put it in perspective, Steve provided this great consumer analogy on the navigation app, Waze:

“‘Imagine sitting in traffic for several hours, then getting home and receiving an email or alert telling you there was an accident three hours ago and try a different route,’ he says. ‘That’s not very useful.’”

This same concept applies to the enterprise – companies need to be able to act on their data while it’s relevant, and a “streaming-first” approach is the only logical way to do this moving forward.

Read the full article: Data Striim-ing for Real-time Actionable Business Intelligence.

PALO ALTO, CA, July 6, 2017 – Striim, provider of a market-leading end-to-end, real-time data integration and intelligence platform, today announced it has been recognized as a 2017 Hot Vendor in Streaming Analytics by Aragon Research in their report, Hot Vendors in AI & Streaming Analytics, 2017.

In this year’s report, Aragon Research recommends that, “Enterprises that need a combined streaming data ingestion, integration and analytics solution, including CDC, that can meet demanding requirements for performance, scalability and security out-of-the-box, or simply want to deliver custom streaming analytics applications quickly and easily with in-house resources, should evaluate Striim.”

Each year, Aragon Research selects Hot Vendors across multiple markets that are doing something truly new or different. They may have new technology that expands capabilities, a new strategy that opens up markets, or just a new way of doing business that makes them worth evaluating.

The Striim platform combines real-time data integration and streaming analytics in a single, end-to-end platform that can ingest, preprocess and analyze any type of data, from any source, before landing on disk. Businesses can build visual dashboards to set up workflows and alerts to manage their data, allowing them to make informed decisions based on up-to-the-second information.

“The way that enterprises interact and utilize data is going through a fundamental change, driven by the growing number of devices and volume of data they produce,” stated Steve Wilkes, co-founder and CTO of Striim. “Striim is at the cutting edge of providing solutions to help enterprise companies modernize to a ‘streaming-first’ data architecture instead of relying on artificial and archaic data management models. We’re honored to be recognized for our work by being included as a 2017 Hot Vendor in streaming analytics by Aragon Research.”

Learn more about Striim’s inclusion as a 2017 Hot Vendor in Streaming Analytics.

About Striim

Striim® (pronounced “stream”) is an enterprise-grade, real-time data integration and intelligence platform. Striim makes it easy to ingest and process high volumes of streaming data – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time data integration, analysis and visualization for a wide variety of use cases including data security, fraud, SLA monitoring, customer experience, replication, data modernization, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog,  follow @striimteam, or download the Striim platform.

About Aragon Research 
Aragon Research is the newest technology research and advisory firm. Aragon delivers high impact, interactive research, consulting, and advisory services to provide enterprises the insight they need to help them make better technology and strategy decisions. Aragon Research serves business and IT leaders and has a proven team of veteran analysts. For more information, visit https://www.aragonresearch.com.

 

Note: Aragon Research does not endorse vendors, or their products or services that are referenced in its research publications, and does not advise users to select those vendors that are rated the highest. Aragon Research publications consist of the opinions of Aragon Research and Advisory Services organization and should not be construed as statements of fact. Aragon Research provides its research publications and the information contained in them “AS IS,” without warranty of any kind.

Platform integrates IoT data and analytics with the enterprise for context-rich, real-time insights and IoT security

PALO ALTO, CA, May 16, 2017 – Striim^™, provider of the leading end-to-end, real-time data integration and intelligence platform, today introduced Striim for IoT, a comprehensive streaming data management solution for the Internet of Things (IoT). Striim for IoT helps companies address three of the most difficult data challenges of IoT infrastructure: 1) managing the tsunami of data generated by IoT devices, 2) integrating IoT data with the enterprise and analyzing it in real time, and 3) addressing security issues associated with the explosion of connected devices. Through enterprise-grade, real-time data integration combined with streaming analytics and visualization, Striim enables IoT-driven companies to make fast, informed decisions based on context-rich, real-time insights.

Managing the Tsunami of IoT Data Through Real-Time Edge Processing

In a recent white paper, IDC predicts that, over the next 8 years, the amount of data created per year will increase 10X to over 160 zettabytes – with 95% originating from the world of IoT. However, the study also indicates that only a very small fraction of that data can be stored.

In its simplest use case, the Striim platform enables immediate in-flight filtering, transformation and aggregation of IoT data at the edge. This allows businesses to store only the IoT data they need, and to extend the value of existing storage investments.

Integrating IoT Data and Analytics with the Enterprise

“Even though many companies are using edge analytics for their IoT data, they are really limiting themselves by evaluating and acting on siloed data,” said Steve Wilkes, founder and CTO of Striim. “There are many other sources of data to be considered, such as transactional data, log files, message queues and events, that, when correlated with IoT data, can provide a well-rounded view for decision makers within a company.”

Business operations that leverage IoT devices are not driven solely by IoT data. As such, Striim enables companies to integrate massive volumes of sensor and device data in real time with a wide variety of streaming data sources across the enterprise, and perform streaming data processing and analytics wherever it makes most sense for the business – at the edge, on-premise, or in the cloud. This all occurs while data is in-flight, before the information loses operational value, becoming less relevant and actionable. The resulting timely and context-rich insights enable management to make informed decisions and take necessary actions to achieve key objectives such as improving operational efficiency, driving intelligent innovation, and counteracting IoT-related security threats.

Introducing Striim Edge Controller

As a key component of Striim for IoT, Striim is pleased to preview Striim Edge Controller, a new management and monitoring framework that allows users to easily manage hundreds of edge servers in a scalable fashion. With Striim Edge Controller, users can build and modify edge processing and analytics flows in the Striim Server, and easily push them to any edge servers they choose. Similarly, via the Striim Server, users can easily monitor the status of the Striim platform running on edge servers, and gain a comprehensive real-time view of their streaming integration and analytics solution for IoT.

Striim at IoT World

Striim is a Platinum sponsor of IoT World.

Steve Wilkes, founder and CTO of Striim, will be presenting in both the IoT Architecture and IoT Analytics tracks at IoT World:

• “Leveraging Streaming Analytics to Combat Cyberattacks at the Edge” – Wednesday, May 17 at 2:20 p.m.
• “Architecting for Continuous IoT Analytics” – Thursday, May 18 at 1:40 p.m.

Please visit us at the Striim booth (#218) to learn more about the Striim for IoT solution.

Interactive Discussion with Datanami and Striim on the Tsunami of IoT Data

Join Alex Woodie, Managing Editor of Datanami, and Steve Wilkes, founder and CTO of Striim, for an interactive live discussion on “Strategies for Managing the Oncoming Tsunami of Data” on Wednesday, May 24 at 10am PT/1pm ET/5pm UTC.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

####

Contact:

Ryan Siss
Striim, Inc.
(650) 241-0680 ext. 238
ryan@striim.com

PALO ALTO, CA, May 1, 2017 – Striim, Inc., provider of an end-to-end, real-time data integration and streaming analytics platform, announced today that CRN^®, a brand of The Channel Company, has named Striim to its 2017 Big Data 100 list. This annual list recognizes the ingenuity of tech suppliers bringing to market innovative offerings for harnessing the increasingly huge amounts of data generated in today’s digital world, raising the bar for data management and challenging established IT practices.

Businesses are constantly grappling with the exploding volume, speed and variety of information they produce and utilize on a daily basis to remain competitive. Solution providers are on a never-ending quest to tame this Big Data with innovative tools, technologies and services that can convert it into meaningful, usable insights.

In response to this challenge, the CRN editorial team has identified the IT vendors at the forefront of data management, business analytics and infrastructure technologies and services. The resulting Big Data 100 list is a valuable guide for solution providers seeking out key Big Data technology suppliers.

The Striim platform, which combines real-time data integration and streaming analytics into a single, end-to-end solution, provides enterprises with the ability to capture massive volumes of streaming data from a wide variety of sources – such as enterprise databases, IoT sensors and log files – and deliver it to many different types of systems, all in milliseconds. Through Striim, data is captured and analyzed in-flight, allowing enterprises to filter, transform, enrich and organize it before it lands on disk. This equips enterprises to build real-time dashboards, set up alerts and manage workflows that help provide insights for informed business decisions.

“Businesses everywhere are faced with managing information streams of unprecedented volume and complexity, requiring more powerful and efficient tools than ever before for capturing, storing, organizing, securing and analyzing data,” said Robert Faletra, CEO of The Channel Company. “CRN is pleased to present the 2017 Big Data 100, a list of vendors whose ingenuity and creative problem-solving have introduced remarkable new ways to help solution providers tackle this mammoth task. Congratulations to these Big Data aces, who have not only kept pace with the rapidly evolving demands of the data management field, but also innovated and challenged the status quo.”

“As data volumes continue to grow exponentially, it is increasingly critical for enterprises to pre-process and analyze data in-flight, in real time, before it lands a Data Lake,” stated Katherine Rincon, Senior Vice President of Marketing, Striim. “All of us at Striim are working hard to create a user-friendly platform that allows companies to harness and utilize the whitewater flow of data that is continuously streaming into their enterprise. We are honored that our platform has been recognized by CRN as an innovator in providing solutions that help meet the most extreme data needs, and look forward to continuing to bolster our offerings to keep pace with enterprise demand.”

The 2017 Big Data 100 list is available online at www.crn.com/bigdata100.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

About The Channel Company

The Channel Company enables breakthrough IT channel performance with our dominant media, engaging events, expert consulting and education, and innovative marketing services and platforms. As the channel catalyst, we connect and empower technology suppliers, solution providers and end users. Backed by more than 30 years of unequaled channel experience, we draw from our deep knowledge to envision innovative new solutions for ever-evolving challenges in the technology marketplace. www.thechannelco.com

©2017. The Channel Company, LLC. CRN is a registered trademark of The Channel Company, LLC. All rights reserved.

The Channel Company Contact:

Melanie Turpin
The Channel Company
(508) 416-1195
mturpin@thechannelco.com

Striim Platform Integrated with Microsoft Azure IoT Technologies
to Help Enable Industries To Be More Intelligent, Efficient, Secure

PALO ALTO, CA, April 23, 2017 – Striim^™, Inc. today announced that it is showcasing their solution for enabling the real-time, continuous exchange and analysis of IoT data across all levels of an IoT infrastructure, powered by Microsoft Azure, at Hannover Messe, the world’s leading industrial fair. Striim is using Azure IoT technology for its solution which helps fulfill the promise of Industrie 4.0: enabling industries to be more intelligent, efficient and secure.

At the Microsoft booth in the Digital Factory trade fair at Hannover Messe, Striim will showcase real-time processing and analytics of enormous volumes of IoT data at the edge, as well as sub-second, context-based post-analysis of IoT data in Azure. In addition to Industrie 4.0, these capabilities support IoT intelligence across categories such as Smart Factory, Industrial Security, Predictive Maintenance, Integrated Energy, Digital Twin and Smart Materials.

“Microsoft Azure IoT Gateway SDK, Azure IoT Hub and Azure Event Hubs support the new Industrie 4.0 through their efficient design and implementation, allowing platforms like Striim to easily integrate with them to provide both intelligent edge processing and analytics, as well as advanced analytics and visualization on data hosted on Azure Cloud,” said Ali Kutay, Founder, President and CEO of Striim. “We are honored to partner with Microsoft to help address industry-critical issues related to the efficient management and security of the whitewater flow of IoT data.”

Caglayan Arkan, General Manager of Worldwide Manufacturing and Resources at Microsoft, said, “It’s a pleasure working alongside Striim to drive innovation in the manufacturing industry. Our customers are excited about new digital capabilities like the Striim Platform integrated with Microsoft Azure IoT technologies that can help transform their business.”

Intelligent Edge Processing of IoT Data

Intelligent processing and analytics of IoT data at the Edge is possible through Striim’s integration with the Azure IoT Gateway SDK in conjunction with the Striim Edge Server, as well as with Azure IoT Hub as a target. Both integrations support real-time pre-processing and analysis of massive volumes of IoT data in order to eliminate irrelevant data from moving upstream.

As IoT data volumes grow, filtering and pre-processing is crucial to avoid ingesting more data than can be processed. Edge processing enables companies to filter out repetitive and normal data, aggregate multiple data streams, and enrich data with context at the source, helping them extract the signal from the noise. Companies can also perform fast-path analytics and anomaly detection at the edge that can trigger events or actions in devices without having to reach the Cloud.

Advanced Cloud-Hosted IoT Analytics

Striim further integrates with Azure Event Hubs to enable fast post-analysis of IoT data in the Cloud. Striim is able to aggregate and correlate data from the Azure IoT Hub with contextual data and other real-time streams in the Cloud to deliver real-time intelligence. This intelligence can be used to determine faults in manufacturing processes or materials, anomalies in energy distribution, and inefficiencies in factory floor operations, for example. Pattern matching, alerting, workflow triggers, and continuous push-based visualizations ensure companies can immediately take advantage of this intelligence.

This week, over 250,000 visitors will converge on Hannover, Germany to discover the latest trends and solutions surrounding the Integrated Industry, Industrie 4.0 and Smart Factory. The foundation for this modern industrial revolution is the Internet of Things (IoT), which allows the direct connection of all production and logistics devices and processes. The objective is to make industries more intelligent, efficient and secure, none of which is possible without the real-time edge processing and cloud-based analysis of the whitewater flood of IoT data.

For more information regarding integration of the Striim platform with Microsoft IoT Azure technologies, please watch the video, subscribe to Striim solutions on the Microsoft Azure Marketplace, or download the Striim platform.

You may also wish to download Gartner’s 2017 Market Guide to In-Memory Computing Technologies, and see why Striim is one of only a few vendors to address 4 out of 5 areas of In-Memory Computing, and the only vendor to do so in a single, end-to-end platform.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

####

Striim Ranked #6 Best Place to Work in Category

Palo Alto, CA – March 20, 2017 – UPDATE: April 18, 2017 – Striim, Inc., provider of an end-to-end real-time data integration and streaming analytics platform, announced today that it has been recognized as a winner of the 2017 Bay Area Best Places To Work, an awards program presented by the San Francisco Business Times and the Silicon Valley Business Journal. Striim ranked the #6 Best Place to Work among companies with less than 50 employees in the Bay Area. 

Select employers from the Bay Area were named winners of the program, and rankings were unveiled during a well-attended awards ceremony held on April 18, 2017 in San Francisco. The winning organizations, including Striim, were honored for having created exceptional workplaces that their employees value highly.

Award applicants were evaluated and ranked across 5 categories according to the number of Bay Area employees. The ranking found companies in the region whose employees rate them as the highest on such values as fun, collaborative culture, solid compensation and benefits offerings and other amenities as well as management practices.

“Striim is the full package. We have amazing technology, a seasoned leadership team that cares about every employee, and a fun and motivating culture,” said Katherine Rincon, SVP of Marketing for Striim. “All of us at Striim are thrilled to have this validation of what we all believe: that Striim is a fantastic company to work for!”

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download. 

About 2017 Bay Area Best Places to Work

Best Places to Work is an innovative publication and awards program produced by the San Francisco Business Times and the Silicon Valley Business Journal. The rankings were determined by surveys that went directly to employees who answered a series of questions. The survey was administered online by the employers and through a service provided by Quantum Workplace, our research partner. The rankings are numeric based on Quantum’s scoring process. By ranking companies and sharing best practices we facilitate idea sharing and help other companies learn from the best.

Offers Metered Solutions for Streaming Data Integration and Analytics in Microsoft Azure Cloud

PALO ALTO, CA, April 18, 2017 – Striim^™, Inc. today announced that it has launched version 3.7 of its end-to-end real-time data integration and streaming analytics platform. Driven by customer requirements and demand, this release focuses on facilitating real-time, hybrid Cloud integration, and simplifying the management of applications running on streaming data.

Highlights of this latest version include several hybrid cloud integrations with Microsoft® data solutions running on Azure^®, and enhanced application-to-database management through dynamic schema evolution.

“Many of our customers are increasingly adopting real-time cloud-based solutions. Striim enables them to rapidly deploy hybrid cloud solutions with continuous data movement from on-premise systems to the cloud. With this release, Striim is the only vendor to offer multiple metered solutions for streaming data integration and analytics on the Azure Marketplace,” said Alok Pareek, founder and EVP of Products at Striim. “Adding to this numerous platform enhancements such as support for schema evolution and DDL propagation, we continue to up the ante on streaming data management.”

Hybrid Cloud Integration

Striim has launched two new solutions on the Microsoft Azure Marketplace. For all solutions, Striim’s wizard-based design interface speeds deployment and time-to-value for its Azure-based customers. 

Striim for Real-Time Integration to SQL Database simplifies the real-time collection and movement of data from a wide variety of on-premise sources, including enterprise databases via Change Data Capture (CDC), into Azure SQL Database.

While the data is streaming, Striim enables in-flight processing, (i.e., filtering, transformations, enrichment) before the data lands in SQL Database, providing full context for any downstream operations such as reporting, and hybrid transactional and analytical processing.

The Striim for Real-Time Integration to SQL Database solution set is available on the Microsoft Azure Marketplace at: https://azuremarketplace.microsoft.com/en-us/marketplace/apps/striim.sqldbintegration?tab=Overview

Striim for Data Integration to Azure Storage provides the same real-time collection and movement of data from a wide variety of on-premise sources, including enterprise databases via log-based Change Data Capture (CDC), into Azure Storage.

This Striim solution enables Azure Blob Storage and Azure File Storage customers to quickly build streaming data pipelines, choosing their desired data latency (real-time, micro batch, or batch) and enrich with additional context. These pipelines can support any application or Big Data analytics solution, including Azure HDInsight®, that uses Azure Storage.

The Striim for Data Integration to Azure Storage solution set is available on the Microsoft Azure Marketplace at: https://azuremarketplace.microsoft.com/en-us/marketplace/apps/striim.azurestorageintegration?tab=Overview

Next Up

This latest release of the Striim platform also includes integrations with Microsoft HDInsight^® on Azure, and Azure Event Hubs, both of which will soon be available on the Microsoft Azure Marketplace.

Schema Evolution for Continuously Running Applications

One of the most difficult challenges of managing enterprise applications that are running against continuous data streams is the application downtime required to make changes to the schema. Striim has solved this with the introduction of Schema Evolution.

Schema Evolution enables business to evolve their schema or make DDL changes without affecting the related applications, ensuring the integration pipeline continues uninterrupted. The new Schema Evolution feature also allows for auditing of schema changes for lineage and compliance.

Schema Evolution bolsters productivity, reduces application downtime due to DDL changes, and increases manageability of continuously running applications.

Additional Product Enhancements

• Striim’s Exactly-Once Processing has been enhanced for additional target components.
• New Interval Reporting of streaming data, combined with existing stream introspection capabilities, help customers better troubleshoot problems and report on business intervals.
• Replication enhancements include new Era Tracking functionality that allows companies to track streaming metadata into eras to support recovery through schema evolution.

For more information regarding this latest release of the Striim platform, please read our blog, or download the platform at www.striim.com/download-striim/.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

PALO ALTO, Calif., January 17, 2017 — Striim, provider of an end-to-end, real-time data integration + streaming analytics platform, today announced the appointment of Don Knepper to the position of Chief Revenue Officer, and Kevin Colón to the position of Vice President of Sales, East. In his new role, Knepper will lead Striim’s global sales team and architect the company’s strategy for rapid revenue growth following a record-breaking 2016. A key executive on Knepper’s team, Colón will be responsible for driving sales in the East U.S. region, as well as execution strategy.

Knepper brings more than 35 years of experience in the technology industry to Striim, including over 20 years at Oracle where he was most recently Senior Vice President & General Manager, Enterprise Technology, North America Sales. At Oracle, Knepper created a collaborative culture integrating direct sales, overlays and presales teams to develop and implement successful go-to-market strategies. Knepper led the North America-based division with revenue responsibility in new software and PaaS cloud sales, teaming with channel and integration partners to deliver valued solutions into Fortune 500 and Private 100 companies across all verticals.

Colón joins Striim with more than 25 years of enterprise software sales experience, most recently as Director of Strategic Accounts, North America for Informatica. At Informatica, Colón created a widely adopted corporate value presentation and related go-to-market strategy. Colón was responsible for creating a culture of success and teaming, while tripling sales revenue. Prior to Informatica, Colón held multiple sales management and strategy positions at leading companies including Oracle, BEA Systems and webMethods.

“Striim is coming off an explosive 2016 where we saw record growth in the number of companies using our real-time integration and streaming analytics platform to make better decisions on fast data,” said Ali Kutay, Chairman, President and Chief Executive Officer of Striim. “Both Don and Kevin have incredible track records at fueling growth in their previous roles, and we’re delighted they’re joining the Striim team to help further drive our early momentum.”

“The Striim platform is game-changing when it comes to real-time integration and intelligence,” said Knepper. “I could not be more thrilled to join such an incredibly seasoned and successful team at Striim, and look forward to propelling even greater adoption of the Striim platform throughout the industry.”

“The leadership, products, and market focus at Striim are impressive advantages in the new world of instant-information requirements for customers,” said Colón. “I am excited about our collective opportunity to meet the demands of a real-time world.”

For more information on the Striim leadership team, please visit https://www.striim.com/company/.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

Attendees to Receive Complimentary Copy of Forrester’s December 2016 Data Security Benchmark Report

PALO ALTO, CA – December 7, 2016 — Striim today announced that its co-founder and CTO, Steve Wilkes, is teaming with guest speaker Stephanie Belaouras, Forrester Vice President and Research Director for Security and Risk professionals, to present a live webinar on “Counteracting Cyberattacks and Fraud with Streaming Analytics.” The webinar will take place next Wednesday, December 14, at 11:00 a.m. PST. All webinar attendees will receive a complimentary copy of Forrester’s December 2016 Data Security Benchmark Report: “Understand the State of Data Security and Privacy: 2016 To 2017.”

What: Stephanie Balaouras, Forrester Vice President and Research Director serving Security and Risk professionals, and Steve Wilkes, co-founder and CTO of Striim, will present a live webinar titled, “Counteracting Cyberattacks and Fraud with Streaming Analytics.” They will discuss the following topics, along with real-world case studies:

• Why today’s security challenges are really an analytics challenge
• How streaming analytics solutions are combating external attacks, malicious insiders, and fraud
• The benefits of streaming analytics solutions to security and other initiatives in the organization

When: Wednesday, December 14, 2016 at 11:00 a.m. PST – 12:00 Noon PST

Where: The event will be livestreamed via WebEx. For more information and to register, please visit: http://bit.ly/2g93dJO

Why: Detecting and defending against cyberattacks and fraud requires fast analysis of large, diverse data sets. Today, security pros are turning to streaming analytics platforms to correlate data in real time, and recognize behavior patterns that could indicate malicious activity. With streaming analytics, security teams reap benefits with higher detection rates, fewer false positives, and rapid response.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

####

Media Contact:
Rebecca Metz
Metz Communications
Phone:  512.560.5211
Email:   Rebecca@metzpr.com
Twitter: @rebeccametzpr

Latest 3.6.6 Version of Striim Platform Includes Integration with MapR, Kafka 0.9, and Google BigQuery; Launch of Hazelcast Striim Hot Cache

PALO ALTO, CA, November 9, 2016 – Striim, Inc., today announced that it has launched a new version of its end-to-end real-time data integration and streaming analytics platform. On the heels of Striim’s mega release of version 3.6, Striim further underscores its commitment to seamless integration with Big Data and Cloud environments with this release.

Highlights include integrations with MapR, Kafka 0.9 and Google BigQuery. Striim is also pleased to launch the Hazelcast Striim Hot Cache, announced separately.

“In this release, we have further strengthened our leadership position as an end-to-end streaming platform. Striim’s ability to transcend on-prem, cloud and IoT environments in real time is what sets us apart,” said Alok Pareek, founder and EVP of Products at Striim. “These types of new integrations with Big Data and Cloud technologies, combined with enhancements for Kafka security and ease-of-use, further accelerate our product capabilities.”

Big Data Integration

Striim’s support for Big Data has been enhanced to include integration with MapR DB and MapR Streams as a target. Companies can now leverage Striim’s change data capture (CDC) and multi-stream correlation capabilities to capture data from enterprise databases, process that data in real time, and then load that data to either MapR DB or MapR Streams. Support for MapR rounds out Striim’s Big Data Integration offering, with existing support for HDFS, Hadoop, and Cloudera as data sources and targets. In addition, Striim is pleased to announce the availability of the Hazelcast Striim Hot Cache, helping companies ensure, in real time, that their cache is always in-sync with their database. Hazelcast is a leading provider of operational in-memory computing, with tens of thousands of installed clusters and over 16 million server starts per month. More details can be found in this separate announcement: Hazelcast Striim Hot Cache – Reducing Windows of Inconsistency to Milliseconds.

Cloud Integration

Bolstering support for Cloud environments, Striim has collaborated with Google Cloud Platform to provide seamless integration between the Striim platform and Google BigQuery, Google’s fully managed, petabyte scale, low-cost analytics data warehouse. This integration helps companies seeking to move toward a hybrid cloud infrastructure to easily move large volumes of enterprise data to Google Cloud Platform. For more information, please read the press release: Striim Collaborates with Google; Integrates with Google BigQuery.

Striim has also introduced seamless integration between a newly enabled agent on-premise and the Striim Server running in the Cloud. Now users can get data into both Microsoft Azure and Amazon Web Services (AWS) from an on-prem agent, giving them greater flexibility in managing their hybrid cloud environments in real time.

Template-based CDC Wizards

With Striim’s continuous focus on ease-of-use, the company has added twelve additional Change Data Capture (CDC) Wizards. These Wizards speed deployment of streaming solutions that require moving enterprise data from a variety of databases (including Oracle, MS SQL Server, MySQL and HPE NonStop), into these newly supported Big Data and Cloud environments (MapR, Hazelcast, and Google BigQuery). Support for Kafka Security Features The Striim platform now takes advantage of the security features introduced in Apache Kafka v0.9. With this support, companies are able to authenticate end-users via either Kerberos or TLS client certificates. This gives them visibility into who, exactly, is making a request. In addition, Striim customers can leverage the UNIX-like permissions system to control which end-users are authorized to access which data. Finally, Striim’s embedded Kafka implementation supports SSL encryption over the wire to protect sensitive data on questionable networks.

Infrastructure Enhancements

To facilitate troubleshooting and debugging, the Striim event log which contains important cluster information is now available visually, simplifying search.

Finally, a new JMX-based monitoring feature enables the Striim platform to connect to third-party monitoring products using the JMX API, exposing Striim statistics through message beans.

For more information regarding this latest release of the Striim platform, please read the related post on our blog, or download the platform at www.striim.com/download-striim/.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

####

Press Contact
Rebecca Metz
Metz Communications
+1 512 560-5211
rebecca@metzpr.com

Joint hot cache solution enables real-time, push-based cache synchronization with its underlying database

Palo Alto, Calif., November 3, 2016 – Hazelcast, the leading open source in-memory data grid (IMDG) with hundreds of thousands of installed clusters and over 16 million server starts per month, and Striim, provider of the only end-to-end, real-time data integration and streaming analytics platform, today announced the launch of the Hazelcast Striim Hot Cache. This integration enables real-time, push-based propagation of changes from the database to the cache. For organizations that manage high volumes of data, Hazelcast Striim Hot Cache ensures continuous synchronization between the cache and its underlying database, providing consistency with the system of record.

With Hazelcast Striim Hot Cache, companies are able to reduce the latency of propagation of data from a backend database into a Hazelcast cache to milliseconds. This provides organizations with the flexibility to run multiple applications off a single database, keeping Hazelcast cache refreshes up-to-date while adhering to low latency SLAs.

Traditionally, if there is a one-to-one relationship between an application and its underlying database, and no other applications or systems are able to make changes to that database, then the intermediary cache stays in-sync with the database. However, if changes are made to the database directly by other applications, then data held in the cache immediately becomes stale.

A common workaround to this problem is “time to live” or TTL. This is when companies purge documents from the cache after a period of time. For many this is a “near enough” solution. However, the process lowers cache efficiency and is inadequate for businesses that manage high transaction data or need to maintain high levels of customer experience.

Hazelcast Striim Hot Cache leverages Striim’s Change Data Capture (CDC) functionality to capture changes in the underlying database in real time (within milliseconds), and push just those changes instantly to the cache. Through CDC, Striim is able to recognize which tables and key values have changed. Striim immediately captures these changes with their table and key, and, using the Hazelcast Striim writer, pushes those changes into the cache.

The full data for the change is available to Striim. An Object Relational configuration is provided for each cache, so that the changes can be applied to the domain model in Hazelcast. These changes can be inserts, updates and deletes. During transformation, Striim can also perform data enrichment (joining CDC updates with other data, or performing aggregation and more complex processing) before writing the Object to the cache.

Striim offers a CDC Wizard to speed deployment. Users can quickly configure the capture of change data from a variety of databases (including Oracle, MS SQL Server, MySQL and HPE NonStop), and propagate that data to their Hazelcast cache. No configuration is required in Hazelcast.

“Having a cache that’s out-of-sync with its underlying database can have dramatic consequences for important transactional data, perishable real-time data, or customer experience,” said Ali Kutay, Chairman, President and CEO of Striim. “We are delighted to work with Hazelcast to reduce the latency of their refreshes to milliseconds by integrating our real-time data integration products, including change data capture, with their cache.”

“Caching data in-memory is well proven in speeding up and scaling applications. But holding that extra copy of data creates a synchronization issue,” said Greg Luck, CEO of Hazelcast. “The Hazelcast Striim Hot Cache solves the most difficult form of this problem – the case where other applications are also updating the database being cached. We are very excited to be bringing this critical enterprise solution to market.”

Learn more about Hazelcast Striim Hot Cache solution:
https://hazelcast.com/product-features/imdg-striim-hot-cache/

Download a fully loaded evaluation version of Striim for Hazelcast Hot Cache:
https://go2.striim.com/download-free-trial

# # # #

About Hazelcast, Inc.

Hazelcast is the leading provider of operational in-memory computing with tens of thousands of installed clusters and over 16 million server starts per month. The Hazelcast In-Memory Data Grid helps leading companies, like Capital One, Chicago Board Options Exchange, Deutsche Bank, Ellie Mae, and Mizuho Securities USA, manage their data and distribute processing using in-memory storage and parallel execution for breakthrough application speed and scale.

Hazelcast’s developer-friendly approach makes it easy to modernize existing applications while providing a platform for building new innovative solutions. Hazelcast is headquartered in Silicon Valley’s Palo Alto, with offices in Ankara, Istanbul, London, and New York City. For more information, visit www.hazelcast.com or follow us on Twitter @Hazelcast.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.

 

Hazelcast Media Contact:
Darren Cottom
Global PR Hazelcast
+44 (0) 1295 713172
+44 (0) 7713 652216
darren@hazelcast.com

Striim Media Contact:
Rebecca Metz
Metz Communications
+1 512 560-5211
rebecca@metzpr.com

Supports Increasing Demand for Hybrid Cloud Infrastructures

PALO ALTO, Calif., September 29, 2016 – Striim, provider of an end-to-end, real-time data integration + streaming analytics platform, is pleased to announce their collaboration with Google Cloud Platform, and seamless integration between the Striim platform and Google BigQuery, Google’s fully managed, petabyte scale, low-cost analytics data warehouse. This integration helps companies seeking to shift toward a hybrid cloud infrastructure to easily move large volumes of enterprise data to Google Cloud Platform.

Google BigQuery is a powerful Big Data analytics platform used by all types of organizations, from startups to Fortune 500 companies. With BigQuery, companies can store large amounts of data (transactional, IoT, application logs, batch, streaming, etc.) and quickly perform ad hoc queries to produce fast results and provide analytics on petabyte-scale data sets.

With Striim’s support for Google BigQuery, users can now ingest and process data from virtually any data source – including transactional data from enterprise databases such as Oracle, MS SQL Server and MySQL – and deliver that data in near real time into their BigQuery environment.

“Striim now provides a change-data capture wizard for BigQuery, which allows users to build real-time data collection and delivery using a drag-and-drop interface,” said Sami Akbay, co-founder of Striim. “Striim’s enterprise-grade features around reliability and security further support BigQuery’s replicated storage strategy to provide an environment that users can fully control.”

For more information regarding Striim’s integration with Google BigQuery, please visit our blog. Our Google BigQuery landing page provides additional detail, and the ability to request a download of the fully functional evaluation version of the Striim platform, including both the Google BigQuery adapter and CDC wizard.

About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com, read our blog at www.striim.com/blog or follow @striimteam. The fully loaded Striim platform is also available for download.