- feature minor
Kimi K3 from Moonshot AI is now available on Databricks through Unity AI Gateway
Moonshot AI's Kimi K3 model is now accessible through Databricks Unity AI Gateway. This expands the available AI models for enterprise users on the platform.
- feature minor
Introducing OfficeQA Pro V2: A New Benchmark for Enterprise Grounded-Reasoning
Databricks released OfficeQA Pro V2, a new benchmark designed to evaluate enterprise grounded-reasoning capabilities. The benchmark focuses on testing AI models' ability to reason with enterprise data.
- other minor
Databricks joins the Open Secure AI Alliance to advance AI safety and security
Databricks joined the Open Secure AI Alliance as a sponsor to advance AI safety and security initiatives. The company is participating in Black Hat USA 2026 as part of this commitment.
- feature major
Unity AI Gateway is Generally Available
Databricks has made Unity AI Gateway generally available after six months of rapid AI-powered productivity growth. The gateway provides centralized access to AI models and services.
- feature major
Ingest semi-structured data faster and more efficiently with Variant - Now Generally Available
Databricks made Variant generally available for ingesting semi-structured data like JSON, XML, and CSV. The feature addresses previous difficulties in handling these data formats efficiently.
- feature major
Convert proprietary code to open ANSI SQL with Genie Code
Databricks introduces Genie Code, a tool that helps migrate legacy data warehouse code to open ANSI SQL. This addresses the complexity of migrating from proprietary data warehouse systems.
- feature major
Agents for production lines: Trusted decisions in real time
Databricks introduces AI agents designed for manufacturing production lines to make trusted real-time decisions. The solution helps line managers respond quickly to production issues.
- feature major
Bringing real-time fraud prevention to government benefits
Databricks announces capabilities for real-time fraud detection and prevention in government benefits programs. The solution addresses improper payments that cost federal benefits programs significantly.
- improvement minor
Connect Amazon S3 data to Databricks with Delegated IAM Permissions
Databricks released simplified S3 connectivity using delegated IAM permissions. This enhancement streamlines the process of connecting Amazon S3 data sources to the Databricks platform.
- feature minor
Permission isn't purpose: Intent-based authorization in Omnigent
Databricks introduced contextual policies in Omnigent that provide intent-based authorization capabilities. The feature blocks unauthorized access based on the purpose and context of data requests rather than just permissions.
- feature minor
Introducing AI spend controls with Unity AI Gateway
Databricks announced AI Spend Controls in Unity AI Gateway to help organizations manage and monitor AI-related costs. This feature extends the existing Unity AI Gateway capabilities with budget management functionality.
- feature minor
Simplify AI agent orchestration with Lakebase Postgres
Databricks introduced Lakebase Postgres to simplify AI agent orchestration workflows. The solution addresses traditional auditing challenges and provides better data management for AI applications.
- feature minor
Meta's Spark Muse 1.1 is now available on Databricks, fully governed by Unity AI Gateway
Meta's Spark Muse 1.1 model is now integrated with Databricks platform and governed through Unity AI Gateway. This provides users access to the latest model capabilities with enterprise governance controls.
- feature major
Introducing Apache Spark 4.2
Apache Spark 4.2 has been released with enhancements that integrate more of the modern data and AI stack. The update brings new capabilities for data processing and AI workloads.
- improvement minor
How Unity Catalog managed tables bring interoperability, performance, and unified governance to the Lakehouse
Unity Catalog managed tables enhance lakehouse architecture with improved interoperability and unified governance capabilities. The feature provides better performance and flexibility for enterprise data management at scale.
- feature minor
The skills gap behind agentic AI — and how Databricks is closing it with a new context engineer certification and agent trainings
Databricks launched a new Context Engineer certification program and agent training courses to address the skills gap in agentic AI development. The certification focuses on building AI agents and context engineering capabilities.
- feature major
Introducing Feature Views
Databricks introduces Feature Views to help ML teams build features once and reuse them across multiple models. This addresses the common problem of feature duplication in machine learning workflows.
- feature minor
Contextual Policies in Omnigent: Using session state to better govern AI agents
Databricks enhances Omnigent, their open source AI agent meta-harness, with contextual policies that use session state for improved governance. This allows for more sophisticated control over AI agent behavior.
- feature major
Beyond dashboards: Introducing Decision Execution Platforms
Databricks announces Decision Execution Platforms, a new concept that extends beyond traditional dashboards to enable automated decision-making workflows.
- improvement minor
How we keep GPUs reliable across Databricks AI
Databricks shares technical insights into their GPU reliability infrastructure and monitoring systems for distributed training workloads.
- feature minor
Granular Usage Attribution for dbt Pipelines with Query Tags
Databricks introduces query tags functionality to provide detailed usage attribution for dbt pipelines, helping teams track and manage warehouse costs more effectively.
- feature major
From monolith to Lakebase to LTAP: rethinking the database from storage up
Databricks introduces LTAP (Lakehouse Transactional and Analytical Processing) architecture, representing a new approach to database design that unifies transactional and analytical workloads.
- feature major
How Databricks is turning video into searchable, actionable intelligence
Databricks launches video intelligence capabilities that enable organizations to extract searchable insights from video content using AI-powered analysis.
- feature major
Observability for any agent, anywhere: Production-ready tracing with OpenTelemetry & Unity Catalog on Databricks
Databricks launches production-ready AI tracing capabilities using OpenTelemetry and Unity Catalog for comprehensive agent observability. The solution addresses traditional observability challenges in AI applications moving to production.
- feature minor
Accelerating LLM Inference with Prompt Caching for Open‑Source Models on Databricks
Databricks introduces prompt caching capabilities for open-source LLM inference to improve performance and reduce latency. The feature optimizes repeated inference operations by caching common prompt patterns.
- feature minor
Transforming industries with conversational AI: Partner solutions built on Databricks Genie
Databricks showcases partner solutions leveraging Databricks Genie for conversational AI across various industries. The announcement highlights ecosystem expansion and industry-specific AI applications.
- feature minor
Announcing the Databricks analytics engineer learning pathway
Databricks launched a new Analytics Engineer Learning Pathway to provide structured training for analytics engineers.
- feature major
Expanded interoperability with Unity Catalog Open APIs
Unity Catalog introduces expanded Open APIs to improve interoperability across different data platforms and tools.
- improvement major
Pushing the Frontier for Data Agents with Genie
Databricks enhanced Genie, their state-of-the-art data agent designed for answering complex questions. The improvements advance the capabilities of data agents in handling sophisticated analytical queries.
- feature major
MCP Marketplace brings real-time intelligence to agentic applications
Databricks launched MCP Marketplace to provide real-time intelligence capabilities for agentic AI applications. The marketplace enables AI systems to access business context and reasoning capabilities.
- improvement minor
Using MemAlign to Improve Evaluation of Traditional Machine Learning in Genie Code
Databricks introduced MemAlign to enhance evaluation of traditional machine learning within Genie Code, their autonomous AI partner. This improvement focuses on better assessment capabilities for ML models.
- feature major
How Superhuman and Databricks built a 200K QPS inference platform together
Superhuman partnered with Databricks to build a high-performance inference platform capable of handling 200,000 queries per second. The collaboration demonstrates real-time AI inference capabilities at scale.
- feature major
The next generation of Databricks Genie
Databricks announced the next generation of its Genie product with new capabilities for data interaction. The update was published as a platform and product release.
- feature major
OpenAI GPT-5.5 + Codex, now available and fully-governed on Databricks
OpenAI GPT-5.5 and Codex are now available on Databricks with governance through Unity AI Gateway. The integration targets agentic enterprise workflows and complex tasks.
- feature major
Announcing the Public Preview of Lakeflow Designer
Lakeflow Designer has entered public preview after its initial introduction at Data and AI Summit. The tool is aimed at data pipeline design within the Databricks platform.
- feature major
Databricks partners with OpenAI on GPT-5.5
Databricks announced a partnership with OpenAI to offer GPT-5.5 as a frontier model on its platform. The post outlines the collaboration and availability details.