Databricks has made a name for itself as one of the most popular commercial services around the Apache Spark data analytics platform (which, not coincidentally, was started by the founders of ...

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...

Artificial intelligence is changing how organisations use data. Tasks that once required complex queries and manual analysis can now be done in minutes with modern analytics platforms. Because of this ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

Databricks has added a new agent, the Data Science Agent, to the Databricks Assistant, in an effort to help data practitioners automate analytics tasks. The agent, which is available now in preview ...

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 ...