Compare Azure Synapse and Databricks for your data needs. Explore features, performance, and use cases to make an informed decision.

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

Databricks offers a data lakehouse delivered via the platform-as-a-service (PaaS) method. It supports structured, semi-structured, and unstructured data, and runs on AWS, Google Cloud, and Microsoft ...

Databricks this week unveiled Lakehouse Federation, a set of new capabilities in its Unity Catalog that will enable its Delta Lake customers to access, govern, and process data residing outside of its ...

Alinta Energy has gradually replaced most of the Azure-based services that once powered its data architecture with Databricks, an effort it says has substantially cut its running costs.

Today, Databricks kicked off its annual Data and AI summit with a long-awaited move: the open sourcing of its three-year-old Unity Catalog platform that provides customers a unified solution for ...

Databricks launches Lakehouse Federation to enhance cross-platform data query and governance in enterprise data infrastructure.

Levenson discussed how machine learning and an open source-based data lakehouse architecture like the Databricks Lakehouse Platform could help agencies perform predictive analytics using various ...

Databricks introduced Unity Catalog in 2021 to meet customer demand: organizations need an interoperable catalog for their data and AI workloads.

Enterprise customers are shifting to open source options to build customised generative artificial intelligence (GenAI) tools using their own data, according to Databricks.