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

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

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

With the update, Striim said, its platform now supports 125 sources and targets. New sources include change streams from 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 moving data across different information technology environments. Normally, exporting data from a database to a business application involves making extensive changes to the way that 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’s not enough to migrate the data once: Any new information that is added over time to the original application also has to be brought over. Striim’s platform can synchronize data changes between systems automatically and, if there’s an outage, pause the process in a way that avoids errors and duplicate entries.

Using Striim, companies can create real-time and autonomous data pipelines to almost any kind of application. Striim’s data pipelines automatically transform data to match the format on the target side, thus reducing customers’ setup and maintenance burden.

Customers can then perform continuous queries, enrichment and analytics on that live streaming data, rather than waiting until it lands in the target database or data warehouse as they normally would. As a result, it becomes possible to build applications directly on a data pipeline, increasing performance.

Today’s release of Striim Platform 4.1 is said to bring significant enhancements for customers that want to stream and integrate data at scale. 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, this can read up to several hundred gigabytes of data per hour from supported Oracle databases.

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

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

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

Image: Striim

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