Databricks announced the Public Preview of Feature Views, a managed framework for building, serving, and governing ML features within its platform. The feature allows data scientists to define feature…
Databricks held its fifth Genie Hackathon, where teams built projects using Databricks Genie products that let users work with data in plain English. OneTrust built a supervisory layer to shard data a…
Databricks announced new capabilities for developing and deploying AI agents using its platform, integrating with LangGraph and MLFlow to enable agent-based systems that extend LLMs with custom tools …
Databricks' Data + AI Summit 2026 introduced LTAP, a unified infrastructure for operational and analytical data built on Lakebase and Unity Catalog, aiming to eliminate CDC pipelines and governance dr…
Barracuda Networks launched AI-Powered Log Search, built on Databricks Genie, inside its Managed XDR platform to let security analysts query logs using natural language instead of SQL. The feature red…
A developer provides an honest comparison of Azure Databricks and Microsoft Fabric for data platforms on Azure in 2026, highlighting strengths and overlaps. The guide includes a feature comparison tab…
Databricks released `databricks-cost-leak-hunter`, a skill for the Claude Code Plugins marketplace that identifies cost leaks in Databricks workspaces. The skill enforces a strict architectural rule: …
Daikin Applied Americas uses Databricks Genie Code to build consistent data pipelines at scale, implementing a MECE skill framework to enforce architectural standards and accelerate pipeline developme…
Kythera Labs is building an AI-native healthcare strategy platform on Databricks that gives health systems access to expert intelligence by transforming 339 billion claims records into a trustworthy d…
Databricks has been positioned as a Leader in the Gartner Magic Quadrant for AI Platforms for Data Science and Machine Learning for the second consecutive year, achieving the highest placement in exec…
Databricks introduced real-time AI feature engineering using Spark Structured Streaming and the Databricks Feature Store, now part of Unity Catalog as Feature Engineering in Unity Catalog. The solutio…
Databricks and NVIDIA launched Genesis Workbench, an open, governed life-sciences platform that integrates NVIDIA accelerated computing and BioNeMo models into Databricks environments for end-to-end d…
Databricks' Genie Ontology shifts enterprise AI focus from models to governed context layers, with human-defined semantics and machine-learned graphs compounding over time. The ontology, called the 's…
Databricks announced the unification of OLAP and OLTP in its Lakehouse with a new LTAP architecture, combining Lakebase and the Lakehouse under a single governance model. The company also introduced L…
Databricks launched Genie ZeroOps at its Data + AI Summit to automate monitoring, investigation, and remediation of data and AI workload issues. The tool, currently in private preview, uses an AI agen…
Neo4j launched Virtual Graph for Databricks, enabling graph-based querying of lakehouse data without moving it. The tool translates Cypher queries to SQL, making relationships explicit for humans and …
Databricks announced expansions to Genie Code at Data + AI Summit 2026, introducing a full-page command center, upgrades for production data and ML engineering, and scheduled tasks. The updates aim to…
Databricks announced the Unity AI Gateway partner ecosystem at Data + AI Summit 2026, integrating with over a dozen security, identity, and observability vendors to govern AI interactions across model…
Databricks announced new AI platform capabilities at Data + AI Summit 2026, including Genie Code for the full ML lifecycle, AI Runtime for large-scale deep learning training, and Feature and Model Ser…
Databricks announced major updates to Unity Catalog at the Data+AI Summit 2026, including AI runtime governance with hard spend caps and contextual service policies, external engine writes to managed …