In this new era of data platform system design, data lakes and data warehouses are giving way to the lakehouse – a new type of data platform system that aims to unify all data analytics into a single ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or ...

Snowflake claims a 30% price-performance improvement over Databricks' Spark-based solutions. Snowflake emphasizes ease of management and innovation over the complexity of Spark tuning. The rivalry ...

A Model Context Protocol (MCP) server that lets AI assistants like Claude execute SQL queries on Databricks. Claude launches the server as a Docker container and communicates over stdin/stdout using ...

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, the analytics and AI giant, has acquired data management company Tabular for an undisclosed sum. (CNBC reports that Databricks paid over $1 billion.) According to Tabular co-founder Ryan ...