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.
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.