Snowflake and Databricks are surely similar companies. While each positions itself a bit differently, both provide data storage, processing and governance in a cloud context. Both are holding customer ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...

The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.

Databricks Inc. has snapped up a startup called BladeBridge Inc., which offers tools for migrating enterprise data warehouses. The big-data company said Wednesday it plans to integrate its technology ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and agentic AI features coming to its cloud data lakehouse platform. At Databricks ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

Securiti, the pioneer of the Data Command Center, is unveiling its strategic partnership with Databricks, the data and AI company and provider of the Data Lakehouse and Unity Catalog, in an effort to ...

Sensitive data is the most valuable asset for analytics and data science. But if data engineers and architects can’t securely prepare it and maximize its utility for real-time access by analysts and ...

Data masking is one of the ways to protect confidential information from unauthorized use. When masking, data is replaced either with arbitrary symbols or (more often) with fictitious data. The array ...