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Striim Announces PaaS Offering for Real-Time Data Integration to Google BigQuery
[October 10, 2018]

Striim Announces PaaS Offering for Real-Time Data Integration to Google BigQuery

PALO ALTO, Calif. and LONDON, Oct. 10, 2018 /PRNewswire/ -- Striim®, provider of an enterprise-grade platform for streaming data integration, announced today at the Google® Cloud Next '18 London conference that the Striim software is now available as a Platform-as-a-Service (PaaS) offering on the Google marketplace to enable streaming data pipelines to Google BigQuery. With Striim, companies can continuously move enterprise data in real time from a broad range of data sources to Google BigQuery, speeding adoption of a hybrid cloud architecture running on Google Cloud Platform.

Google BigQuery is Google's fully managed cloud data warehouse for analytics. BigQuery enables companies to store large amounts of data (transactional, IoT, application logs, batch, streaming) and quickly perform ad hoc queries to produce fast results and provide analytics on petabyte-scale data sets.

"With Striim, companies can continuously feed real-time data to their analytics frameworks powered by Google BigQuery," said Alok Pareek, Founder and EVP of Products for Striim. "Until now, mission critical applications could integrate on-premise data into Big Query via the Striim platform using a BYOL model. With our new PaaS solution, Striim makes it trivial to provision and set up streaming data pipelines in the Google Cloud, delivering up-to-the-millisecond business data to BigQuery to support operational decision-making on a continuus basis."

Whether on-premises or in the cloud, Striim offers non-intrusive, real-time data ingestion from a wide variety of data sources including databases (i.e., Oracle, SQL Server, MySQL, HPE NonStop), and data warehouses (i.e., Oracle Exadata, Amazon Redshift, Teradata), log files, messaging systems such as Kafka, Hadoop solutions, and sensors.

While data is streaming, Striim provides in-flight transformations – including denormalization – and optimized delivery to Google BigQuery.

For Google BigQuery customers, Striim offers several features and benefits that can maximize integration speed and reliability:

  • uses non-intrusive change data capture (CDC) to minimize impact on source databases
  • provides Wizards to simplify CDC configuration
  • offers in-line transformations and visualizations before delivering to Google BigQuery
  • reduces on-premises ETL workloads, as well as data latency
  • enables fast data loading to Google BigQuery through optimized interfaces
  • gives full context for any downstream operations

For more information about Striim's platform-as-a-service offerings for Google BigQuery, please visit, or provision Striim for Google BigQuery in the Google Cloud marketplace.

About Striim
The Striim® platform is an enterprise-grade streaming data integration solution for moving data in real time to the cloud. Striim makes it easy to continuously ingest and process high volumes of streaming data from diverse sources (both on-premises or in the cloud) to support hybrid cloud infrastructure, as well as Kafka, Hadoop, and NoSQL integration. Striim can collect data from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors in real time, and deliver to virtually any target on-premises or in the cloud with sub-second latency. For more information, visit, read our blog at, follow @striimteam, or download the Striim platform.

Ryan Siss
Striim, Inc.
(650) 241-0680 ext. 238

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