A fully managed SaaS solution that enables infinitely scalable unified data integration and streaming.
On-premise or in a self-managed cloud to ingest, process, and deliver real-time data.
Learn how Striim Cloud uses best-in-class security features for networking, encryption, and secret storage.
Unify data in real time on a fully managed, SaaS-based platform optimized for the power and scalability of AI-ready data pipelines.
Enable real-time data flow with high throughput and low latency, ensuring the seamless handling of large-scale data for immediate insights and decision-making.
Enable cloud data high availability through real-time database and object store data replication, ensuring seamless data synchronization and resilience across cloud environments.
Deliver real-time data to AWS, for faster analysis and processing.
Unify data on Google Cloud and power real-time data analytics in BigQuery.
Quickly move data to Microsoft Azure and accelerate time-to-insight with Azure Synapse Analytics and Power BI.
Flexible Models for Every Business.
Learn all about Striim, our heritage, leaders and investors
Looking to work for Striim? Find all the available job options
See how our customers are implementing our solutions
Find out more about Striim's partner network
Find all the latest news about Striim
Connect with the experts at Striim
Alok Pareek, Founder and EVP of Products at Striim, presents “Streaming Relational Data into Google BigQuery: Real World Best Practices” at the Big Data LDN conference on September 24, 2020.
This session covers: data warehousing and the rationale for BigQuery, data integration architectural patterns and considerations, building streaming data pipelines for BigQuery, real world Java based implementation, and implementation, challenges & best practices.
