Striim and Databricks Partner to Deliver Real-Time Data Integration for…

Striim and Databricks Partner to Deliver Real-Time Data Integration for…


LONDON, Sept. 21, 2022 (GLOBE NEWSWIRE) — BIG DATA LDN storm, a global leader in unified, real-time data integration and streaming, today announced at the Big Data LDN Conference and Expo that Striim has joined the Databricks Technology Partner Program. Databricks technology partners integrate their solutions with Databricks to provide complementary ETL, data ingestion, business intelligence, machine learning, and governance capabilities. Striim’s integration with Databricks enables organizations to leverage the reliability and scalability of the Databricks Lakehouse platform to innovate faster, while deriving valuable real-time data insights via Striim’s real-time streaming capabilities.

“It’s clear that those companies that can make accurate, data-driven decisions more quickly have a clear advantage over their competitors,” said Ariel Amster, director of strategic technology partners at Databricks. “We deliberately work with technology providers like Striim to enable our customers to accelerate their time-to-insight via Databrick’s AI/ML solutions. We are excited to partner with Striim and offer our customers access to a fully managed cloud service to seamlessly connect data from databases, applications and disparate clouds to Databricks in real-time.”

Combining the best elements of data lakes and data warehouses, the Databricks Lakehouse Platform enables users to unify their data, analytics and AI, build on open source technology and maintain a consistent platform across clouds. Striim enables Databricks AI/ML to build new models that leverage real-time data, resulting in far more accurate business predictions. This in turn means better decisions, faster, giving companies a significant competitive advantage.

“In today’s digital economy, customer experience, data movement and data management require real-time streaming data. Traditional batch processes just aren’t enough to meet the needs of today’s AI/ML applications,” said Philip Cockrell,…

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