Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...
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Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
Databricks declares the end of pipelines with a unified platform for operational and analytical data
Databricks Inc. is using its Data + AI Summit today in San Francisco to unveil a new data architecture designed to eliminate one of enterprise computing’s oldest bottlenecks: the separation between ...
The name of Databricks' annual conference has gone from "Spark Summit" to "Spark + AI Summit" and now to "Data + AI Summit." The evolution of the event name tracks Databricks' own transition from the ...
Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...
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