Striim adds more data integration sources and targets and measures its platform

Startup Striim Inc. has today announced a new version of its real-time data integration platform, which adds new sources and targets for reading and writing data using its built-in adapters.

With the update, Striim said, its platform now supports 125 resources and targets. New resources include innovation streams from the Azure Cosmos DB, while Databricks Delta Lake is now supported as a new target, the company said.

Striim’s data integration software is designed to address the difficulty of transferring data in different information technology environments. Typically, exporting data from a database to a business application involves making extensive changes to the way information is configured.

Another technical challenge arises in situations when a company plans to continue using an application after migrating its data to a new environment. In such cases, it is not enough to migrate the data once: Any new information added over time to the original application must also be brought. The Striim platform can automatically synchronize data changes between systems and, in the event of an outage, pause the process in a way to avoid errors and duplicate entries.

With Striim, companies can create real-time and autonomous data pipelines in virtually any type of application. Striim’s data pipelines automatically modify the data to match the format to the target component, thus reducing customers ’setup and maintenance burden.

Customers can perform continuous queries, enrichment and analytics on that live streaming data, instead of waiting until it lands in the target database or data warehouse as they normally do. As a result, it becomes possible to build applications directly into a data pipeline, which increases performance.

Today’s release of Striim Platform 4.1 is said to deliver significant enhancements for customers who want to stream and integrate scale data. Striim said customers can now manage hundreds of data pipelines running across multiple clusters, reading multiple terabytes of data per day with OJet, a new high-performance Oracle Change Data Capture reader. According to the company, it can read up to several hundred gigabytes of data per hour from supported Oracle databases.

In addition, Striim has simplified collaboration for database developers and administrators by integrating its platform with Slack, so that users can receive real-time alerts and notifications. They can then build on these integrations with tools like ServiceNow and PagerDuty to automatically create tickets based on incoming alert messages.

Alok Pareek, Striim’s executive vice president for products and engineering, said the company’s platform enables the unified, real-time data integration and Structured Query Language-based data streaming required for enable digital transformation initiatives today.

“We’re bringing more of our customers,” he said. “More performance and bigger scale so they can continue to expand their data platforms to discover new meaning and relationships in their data to accelerate change.”

Photo: Striim

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