Microsoft and Databricks say the vectorized query engine written in C++ accelerates Apache Spark ... How to deploy AI agents with the Google Agent Development Kit for Python. Jun 10, 2025 4 mins.

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Databricks’ query engine is said to offer high performance via a caching layer. ... Databricks can run Python, Spark Scholar, SQL, NC SQL, and other platforms.

Andy Konwinski is pledging $100 million of his own money for a new kind of institute to fund researchers. It's already backed ...

Databricks’ Data and AI Summit runs June 26–29 in San Francisco. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered.

Python was already the most popular language in Spark before the latest batch of improvements (and Databricks and the Apache Spark community aren’t done). So it’s interesting to note the level of ...

Snowflake and Databricks cross the ... first-class governance and agentic query – all while preserving ... “Any engine wins” ethos — batch, streaming, SQL, Python/Rust UDFs ...

Single SQL query to run batch inference. In order to help enterprises run an AI query without the need to setup infrastructure, Databricks is adding a new capability named Provision-Less Batch ...

Databricks has announced a major new update to the popular data analytics cluster framework Apache Spark, adding support for the R statistical programming language in an effort to make life easier for ...