Databricks Releases
Databricks blog and Terraform provider releases. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 180 Databricks releases · Updated
- Databricks Blog blogdataanalyticsdatabricksarchitect ·
Evaluate Enterprise Analytics Platforms Beyond Dashboards
This article argues that enterprise analytics platform evaluations often focus too narrowly on dashboards and features, overlooking the critical architectural decision of whether analytics, AI, and agents can run on a unified data foundation. It proposes a structured approach using seven weighted criteria and a proof of concept to pressure-test vendor claims beyond demos. The evaluation is crucial for architects and engineers as it shapes the data team's capabilities for the next decade.
announcement - Databricks Blog blogaidatabricksengineer ·
Databricks Genie Hackathon Highlights Agentic AI Capabilities
Databricks hosted its fifth hackathon showcasing Databricks Genie, a family of AI tools for data interaction. The event focused on three tracks: Genie Agents for conversational analytics, Genie Code for autonomous AI assistance in data workflows, and composing Genie into broader agentic systems. These projects demonstrate how governed, conversational analytics can become a foundational element for various teams, from business users to engineers.
announcement feature - Databricks Blog blogdataazuredatabricksengineer ·
Guide: Migrating Azure Synapse workloads to Databricks Lakehouse
This guide provides a practical playbook for migrating workloads from Azure Synapse Analytics (Dedicated SQL, Serverless SQL, and Spark pools) to a unified Databricks Lakehouse. It details how to consolidate multiple services, enable AI and ML capabilities, and improve operational efficiency, leading to simpler architecture, better performance, and lower costs. The document outlines a phased migration strategy, emphasizing discovery, assessment, and design with field-tested engineering tips for successful execution.
announcement - Databricks Blog blogaisecuritydatabricksengineer ·
Barracuda Managed XDR adds AI-powered natural language log search
Barracuda Managed XDR has integrated Databricks Genie to enable security analysts to query logs using natural language instead of SQL, accelerating threat investigations. This feature is built with row-level security in Unity Catalog to ensure tenant isolation across thousands of customers. The enhancement significantly reduces the time needed for routine investigations and frees up SOC analyst hours.
feature - Databricks Blog blogaidatabricksengineer ·
Databricks Benchmarks Coding Agents on its Codebase
Databricks developed an internal benchmark to evaluate coding agents' performance and cost-efficiency on real-world tasks within its multi-million line codebase. The analysis reveals that a mix of models and harnesses is needed for optimal performance, and token price is a poor indicator of overall task cost. This benchmark aims to guide engineers in selecting the most efficient tools for various coding complexities, improving overall engineering productivity.
announcement feature - Databricks Blog blogaidatabricksengineerhealthcare ·
Health Catalyst Ambulatory Intelligence Deploys on Customer Databricks
Health Catalyst has launched Ambulatory Intelligence, a solution designed to address operational barriers limiting growth in healthcare ambulatory care. This new offering combines AI with healthcare expertise to provide insights into patient access, referrals, and financial performance, helping health systems identify and act on constraints. By deploying directly within a customer's Databricks environment and leveraging Unity Catalog and Lakebase, it ensures data governance and low-latency performance, addressing concerns about data control and privacy.
feature announcement - Databricks Blog blogmldatabricksengineer ·
Databricks Introduces Feature Views for Managed ML Feature Pipelines
Databricks has released Feature Views, a new managed framework designed to simplify the creation, serving, and governance of ML features across the entire lifecycle. This feature aims to eliminate training-serving skew and reduce operational overhead by allowing developers to define a feature once and use it for both experimentation and production inference, including real-time applications. The public preview is now available, with streaming capabilities requiring an Enterprise-tier workspace.
feature announcement - Databricks Blog blogaidatabricksengineer ·
Acxiom Modernizes Marketing Stack with Databricks for Agentic AI
Acxiom has migrated its data foundation from on-premises Hadoop to Databricks, enabling significant performance gains and accelerating the development of agentic AI workflows for marketing. This modernization shifts the company's competitive position from a data supplier to an intelligence layer, allowing for automated marketing processes from audience planning to campaign activation. The move is critical for organizations seeking to leverage AI without being constrained by legacy infrastructure, with Acxiom seeing run times improve by 80-90%.
feature announcement
About Databricks release tracking on ReleaseBytes
Databricks platform releases, runtime versions and Terraform provider updates each have their own changelog. ReleaseBytes merges them into one feed with plain-English summaries, and its EOL tracker follows Databricks runtime support windows — including the Python and Spark versions each runtime pins.
Frequently asked questions
How often are Databricks release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official Databricks release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of Databricks changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
How can I get alerts for new Databricks releases? ›
Set up a free email or Slack alert filtered to Databricks, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
Where does the Databricks release data come from? ›
From the official sources: Databricks blog and Terraform provider releases. Every item links back to the original vendor announcement.