The team at Hopsworks is excited to announce Hopsworks 5.0, the unified and Sovereign Data and AI platform built around the Coding AI and Data Stack; a new paradigm where coding agents replace ...

Databricks, Hadoop, and Spark each serve distinct roles in big data. Hadoop handles storage, Spark delivers speed, and Databricks simplifies cloud-based workflows. Choosing the right tool depends on ...

MinIO, the data foundation for enterprise analytics and AI, is debuting AIStor Table Sharing, a capability built into MinIO AIStor that allows enterprises to securely share their on-premises data ...

Building a RAG system can be challenging. In addition to deployment and infrastructure challenges (eg, scaling up your vector db), there are many tradeoffs and decisions to make for each component of ...

Today’s AI-first environment is pushing traditional enterprise data architectures to a breaking point. Organizations store critical business information across fragmented systems, with data warehouses ...

Databricks Inc. today introduced a new serverless database called Lakebase that can process more than 10,000 queries per second. The service is based on PostgreSQL, a popular open-source relational ...

The data industry has arrived at a pivotal juncture that echoes the themes we’ve charted in previous Breaking Analysis episodes, from The Sixth Data Platform through The Yellow Brick Road to Agentic ...

Get traffic data and keyword intel on competitors instantly. Marketing was already a top-five use case for Databricks customers, and today’s launch of its new Data Intelligence for Marketing platform ...

It’s been a wild week for investors clawing their way into Databricks’ record-breaking $10 billion fundraising, one of the VCs leading the deal told TechCrunch. “There were calls that went well late ...

Make sure to add databricks-labs-pytester as a test-time dependency and not as a compile-time dependency, otherwise your wheels will transitively depend on pytest, which is not usually something you ...