Our analysis and end-user discussions continue to demonstrate that a new modern data stack is emerging along with sophisticated data-oriented “personas,” such as data analysts and data scientists.

CISOs know precisely where their AI nightmare unfolds fastest. It's inference, the vulnerable stage where live models meet real-world data, leaving enterprises exposed to prompt injection, data leaks, ...

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 ...

Three main pressure points are transforming the modern data landscape: 1) Increased interest in adopting open table formats to allow any compute to operate on any data; 2) The point of control is ...

Databricks today announced a $1.6 billion Series H round of venture capital funding at a $38 billion valuation. The company says the new money validates its lakehouse approach to big data architecture ...

Five years ago, Databricks debuted the world’s first data lakehouse, which combined the beneficial aspects of data lakes and data warehouses. Thanks to the rise of AI, the nature of data platforms is ...

Transactional database technology “hasn’t actually changed that much in the last 40 years” and is inadequate for today’s operational AI applications and agents, Databricks co-founder and CEO Ali ...

Databricks is an innovative data analytics platform designed to simplify the process of building big data and artificial intelligence (AI) solutions. It was founded by the original creators of Apache ...

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

Databricks announced today two significant additions to its Unified Data Analytics Platform: Delta Engine, a high-performance query engine on cloud data lakes, and Redash, an open-source dashboarding ...