Why Choose Striim vs. Hevo Data?​

Enables hybrid cloud use cases

End-to-end latency less than 2 seconds

Transform, enrich, and analyze your data on the fly

Fortune 500 companies power their cloud initiatives with Striim 

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“At UPS, we’re reshaping the shipping landscape by prioritizing lower premiums and improved convenience for our customers. Opting for high-confidence shipping addresses not only slashes costs but also assures customers of dependable and secure deliveries, empowering them to shop online with confidence and ease. Striim and Google Cloud have jointly enabled us to enhance the customer experience with AI and ML.”

Pinaki Mitra

VP of Data Science and Machine Learning at UPS Capital

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“Striim is a fully managed service that reduces our total cost of ownership while providing a simple drag and drop UI. There’s no maintenance overhead for American Airlines to maintain the infrastructure.”

Ganesh Deivarayan

Sr. Manager at American Airlines

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“Striim gives us a single source of truth across domains and speeds our time to market delivering a cohesive experience across different systems.”

Neel Chinta

IT Manager at Macy's

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“One of the most notable benefits we’ve experienced since integrating Striim into our operations has been the significant enhancement in how we communicate with our customers. The real-time updates on order status have not only improved transparency but also helped to reduce the number of customer service calls. This change has streamlined our operations, allowing us to allocate resources more efficiently and improve overall customer satisfaction.”

Oliver Meisch

Manager of Business Intelligence, Kramp

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“The choice to use Snowflake was part of our platform’s evolution. We needed Striim to complete the vision.”

Rajesh Raju

Director of Data Engineering

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“We have a significant software portfolio and the ability to tie that into modern ML use cases where we need to do that is important for us. We are a highly data-driven organization and the ability to tie in predictive models or propensity models is really critical to our strategy. The objective with Striim and CDC usage was to simplify pipelines and minimize latency for real-time decision support.”

Nick Alexander

Senior System Architect, Discovery Health

Striim vs. Hevo Data Feature Comparison

Cloud-Scale Architecture​

Striim is a fully automated, fully managed service available on Amazon Web Services, Google Cloud, and Microsoft Azure. Striim can also be deployed with high availability and strict SLAs for uptime and disaster recovery.

StreamSets is self-hosted and requires customers to manage the data processing plane.

Enables Hybrid-Cloud Use Cases

Striim can be deployed on-premise and in the cloud.

Real-time Transformations + Analysis

Striim users can build detailed in-flight transformations, data masking, and filtering logic using high-speed SQL queries. Striim scales horizontally with in-memory compute for high performance transformations.

Hevo offers both pre-load (ETL) and post-load (ELT) transformations. Pre-load transformations aren’t designed for real-time data. Post-load transformations (Models and Workflows) allow users to carry out transformations in the destination data warehouse.

Data Delivery SLAs

Striim offers real-time dashboards visualizing end-to-end data delivery from source to target. Striim matches source and target transactions and alerts users to missing transactions, making it easy to catch issues as they happen. Customers see end-to-end latency under 2 seconds.

Hevo offers a pipeline progress bar and a snapshot of pipeline activity. Can be difficult to debug pipeline issues.

Helpful how-to guides

We've prepared a few articles to help you get started

Recipe

Streaming SQL on Kafka with Striim

Recipe

Emergency Room Monitoring Recipe

Recipe

Efficiently Process Data Streams with Pattern Matching: A Financial Example