Databricks Unveils Lakebase Database for AI Applications

   Data bricks debuts Lake base, a server less Postgres database for AI-driven apps, redefining operational data management for the modern enterprise.

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Just weeks after announcing its acquisition of server less Postgres startup Neon for approximately $1 billion, Data bricks has wasted no time putting that technology to work. The company has launched Data bricks Lake base at their Data and AI Summit this week. The database represents what the company is calling an entirely new category of operational databases designed specifically for building intelligent applications.





It seems as though Data bricks is making a play to move beyond its analytics roots and take on the big database players like Oracle, Snowflake, Amazon, and Microsoft on their own turf. Of course, Data bricks insists that Lake base isn’t just another me-too database product. They’re positioning it as something entirely new.


Addressing modern data challenges

At its core, Lake base is a fully-managed Postgres database built specifically for data applications and AI workloads. It’s designed to address the hurdle a lot of organizations are starting to face: the need to combine operational and analytical data to build intelligent applications, whether that’s serving machine learning features and models, building standalone applications, or analyzing operational data within a lake house architecture.

Beyond Lake base: A suite of new products

Lake base was just one piece of a larger product announcement from Data bricks during their summit. The company rolled out several other new offerings that highlight their push to expand across multiple areas of the data and AI landscape.


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