Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Announced today at Spark Summit 2017, Databricks is releasing Deep Learning Pipelines, an open source package that adds high-level, easy-to-use deep learning APIs for technologies such as ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for ...

Big-data company Databricks Inc. today updated its MLflow machine learning toolkit with support for the R programming language and other new features aimed at boosting its utility. Databricks had ...

“Databricks powers our machine learning and business intelligence across multiple business functions, from car inventory management, to price prediction and technical operations, by using ...

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

Comparing Azure Machine Learning and Databricks for your data solutions? Explore our analysis to find the best fit for your needs.

Databricks, the leader in unified data analytics, today announced Model Registry, a new capability within MLflow, an open-source platform for the mach ...

Databricks, the Silicon Valley-based startup focused on commercializing Apache Spark, has developed MLflow, an open source toolkit for data scientists to manage the lifecycle of machine learning ...

The partnership between Snowflake and Databricks is a welcome sign. It brings best of both the worlds through the combination of an enterprise data warehouse and predictive analytics platforms.