Zaharia began building Apache Spark as a doctoral student at UC Berkeley in 2009, a faster alternative to Hadoop MapReduce, which had become the default framework for large-scale distributed data ...
Databricks co-founder and CTO Matei Zaharia almost missed the email telling him that he was the 2026 recipient of the ACM Prize in Computing. “Yeah, it was a surprise,” he told TechCrunch. Back in ...
Three of the biggest names in the artificial intelligence revolution appear on track to launch IPOs in 2026 amid a wave of hype, massive valuations, and for most investors, very little visibility into ...
With an overflowing war chest from its $5 billion raise that closed last month (not to mention billions in revenue), Databricks is acquiring. The company, best known for its cloud data analytics ...
Ali Ghodsi, Databricks CEO, joins 'The Exchange' to discuss the company's entrance in the cybersecurity market. Got a confidential news tip? We want to hear from you. Sign up for free newsletters and ...
As the AI industry races toward bigger models—and louder claims—Databricks is quietly building the infrastructure to make these models actually work for business. Databricks’s data management and ...
The Department of Homeland Security is preparing a blanket purchase agreement to ensure the continued operation of its data lakehouse environment and intelligence platform. Sign up for the Potomac ...
Clients across industries, such as Albertsons, BASF, and Kyowa Kirin International are working with Accenture and Databricks to build agent-ready databases and AI applications on their enterprise data ...
The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.
Built on Validation confirms Gravity's production use of Databricks SQL, Managed MLflow, and Delta Lake, enabling healthcare organizations to accelerate AI innovation and integrate agentic workflows ...
Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...