Databricks is buying Tecton, a machine learning startup backed by Sequoia Capital and Kleiner Perkins, as part of its plan to ...

Tecton provides software to aid companies in analysing and deploying data at scale and low latency. The financial terms of ...

Tecton’s technology and talent could help enhance Databricks’ flagship product, Agent Bricks, which enables enterprises to ...

Databricks will acquire machine learning startup Tecton to expand its AI agent offerings, the latest in a string of deals ...

Databricks signs Series K term sheet at a $100 billion valuation to accelerate its AI strategy, expand Lakebase, and fuel ...

Databricks Machine Learning also provides a new ML-focused start page that surfaces the new ML capabilities and resources, with quick access to Experiments, the Feature Store, and the Model Registry.

In March 2016, Databricks created and open sourced TensorFrames, a software library that enables the popular deep learning framework, TensorFlow to run on Spark. The enhancements announced today ...

Databricks launched an open-source Data Sharing initiative and a new machine learning platform.

SAN FRANCISCO-- (BUSINESS WIRE)-- Databricks, the leader in unified data analytics, has been named by Gartner as a Leader in the 2020 Magic Quadrant for Data Science and Machine Learning Platforms.

Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started.

About Databricks Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Databricks’ founders started the Spark research project ...

Databricks Machine Learning provides each member of the data team with the right tools in one collaborative environment. Users can switch between Data Science / Engineering, SQL Analytics, and the new ...