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 blogaidatabricksengineerhealthcare ·
AI Applications and Best Practices in Healthcare
This article details the expanding applications of AI across healthcare, including diagnostic imaging, clinical documentation, drug discovery, and administrative automation. It highlights the increasing regulatory scrutiny, such as the European AI Act, and emphasizes the importance of responsible deployment through human oversight and bias-tested data. The guide targets healthcare professionals, IT leaders, and informatics teams, focusing on clinical use cases and data practices.
announcement - Databricks Blog blogdatadatabricksengineer ·
AI in Supply Chain: Demand Forecasting to AI Agents
This article details how AI is transforming supply chain management, focusing on enhanced demand forecasting, inventory optimization, and the implementation of AI agents for automated decision-making. It highlights the benefits, such as reduced costs and improved accuracy, and outlines the data foundation and organizational considerations for adoption. The guide is targeted at supply chain leaders, planners, and data teams.
announcement - Databricks Blog blogaidatabricksengineer ·
AI for Customer Service: Strategy, Agents, and Solutions Guide
This guide details how AI, leveraging NLP, ML, and predictive analytics, automates routine customer service inquiries, freeing human agents for complex issues. AI adoption can significantly reduce operational costs by up to 30% and improve customer satisfaction by 15%, though risks like hallucination and data privacy need careful management. Successful deployment involves starting with a pilot, defining clear metrics, and establishing human-in-the-loop governance before scaling AI agents.
announcement - Databricks Blog blogaidatabricksengineer ·
Databricks uses Unity AI Gateway for internal AI coding agent spend control
Databricks has implemented internal controls for its AI coding agent spend by routing all traffic through Unity AI Gateway, enforcing unified budgets and policies. This system separates daily limits for runaway spend protection from higher monthly limits for extraordinary use, balancing innovation with cost control. It allows engineers to self-service budget increases for normal usage, reducing bottlenecks and enabling faster adoption of AI tools.
announcement feature - Databricks Java SDK Releases sdkdatabricksengineer ·
Databricks SDK Java v0.136.0 Updates
Databricks SDK Java has been updated to version 0.136.0, introducing new API capabilities. These changes include the addition of a method for patching telemetry configurations and new fields for schema specifications and SQL alerts. The updates primarily affect developers using the Java SDK to interact with Databricks services like serving endpoints and pipelines.
patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Go v0.165.0 Adds New API Methods
Databricks SDK for Go version 0.165.0 introduces several new API methods and fields to enhance functionality for workspace telemetry, data pipelines, and SQL alerts. These updates provide developers with more granular control and expanded capabilities within the Databricks platform. The changes are available immediately for users of the Go SDK.
patch - Databricks Blog blogaidatabricksengineerfinance ·
AI Applications in Finance: Use Cases, Risks, and Implementation Guide
This guide explores AI applications in finance, including credit scoring, algorithmic trading, and automation, which are projected to save the banking industry significantly by 2030. Responsible AI deployment emphasizes explainable models, documented data lineage, and human-in-the-loop controls for critical financial tasks. A phased rollout approach, starting with prioritized pilots and rigorous ROI measurement, is recommended for enterprise-wide scaling.
announcement - Databricks Blog blogaidatabricksgaengineer ·
AI Literacy Framework for Education and Workforce
Databricks introduces a comprehensive AI literacy framework designed to equip individuals with functional, critical, and ethical skills for responsible AI use. The framework, organized around understanding, evaluating, and using AI, aims to guide higher education institutions and organizations in curriculum development and workforce training. This initiative addresses the growing demand for AI proficiency as AI tools become integral to daily work, projecting significant shifts in workplace skills.
announcement - Databricks Blog blogaidatabricksengineer ·
Databricks Genie One: AI Use Cases for Business Users
Databricks introduces Genie One, an AI-powered agent designed to automate recurring tasks for business users across various systems. The tool aims to transform how users work by integrating with existing applications like calendars, CRMs, and document repositories to produce concrete outputs and actions. Key use cases include automated business reviews, meeting preparation and follow-up, knowledge work automation, and operational monitoring, enabling teams to save time and improve efficiency.
feature announcement - Databricks Blog bloggovernancecompliancedatabricksengineer ·
EU Digital Product Passport: Databricks Solution for Traceability Deadline
Manufacturers selling into the EU must comply with the Digital Product Passport regulation by February 2027, a deadline that mandates product traceability and sustainability data. This regulation poses significant data challenges, particularly concerning data availability, quality, and integration across complex supply chains. Databricks offers a Solution Accelerator on its platform to address these issues, providing a unified data foundation for compliance, resilience, and sustainability reporting.
announcement - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Java v0.135.0 Adds Catalog Enums, Includes Breaking Changes
Databricks SDK Java v0.135.0 introduces new enum values for catalog ownership, enhancing schema and table management. However, this release also contains breaking changes, including a modified `createDeployment()` method signature and the removal of the `deploymentId` field from the `CreateDeploymentRequest`. These changes require users of the Java SDK to update their code to accommodate the new API structure.
breaking patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.164.0: API changes and breaking updates
Databricks SDK Go v0.164.0 introduces new enum values for catalog ownership and includes two breaking changes. Developers using the SDK must update their code to accommodate the reordered arguments in the `CreateDeployment` method and the removal of the `DeploymentId` field in the request. These changes primarily affect engineers and architects working with Databricks bundles and workspace deployments.
breaking patch - Databricks Blog blogaigovernancedatabricksengineer ·
Databricks Unity AI Gateway adds spend controls and budget alerts
Databricks' Unity AI Gateway now offers AI spend controls, allowing users to set budgets and hard caps at various granularities including user, workspace, and organization levels. This feature addresses the challenge of managing unpredictable AI workload costs by providing proactive budget alerts and automated spending limits. The controls are integrated with Unity Catalog and Databricks budgets, offering unified governance for AI usage, cost visibility, and operational accountability across all models and providers, and are available starting today.
feature - Databricks Blog bloggovernancedatabricksengineerhealthcare ·
FDA Builds Widely Adopted Generative AI Platform on Databricks
The US Food and Drug Administration (FDA) successfully launched a generative AI platform, ELSA, built on Databricks Halo, achieving 85% staff adoption within two months. This initiative consolidated data silos across eight agency centers, enabling faster regulatory research and custom AI agent development for 16,000 staff. The platform utilizes Databricks Unity Catalog for governance and is now expediting critical tasks like drug application reviews, reducing them from days to minutes.
feature announcement - Databricks Blog blogaisecuritydatabricksengineer ·
Databricks Omnigent adds intent-based authorization for AI agents
Databricks Omnigent has introduced intent-based authorization to enhance the security of AI agents. This feature ensures agents only perform actions aligned with their declared purpose, closing a gap in traditional identity-based authorization systems that attackers can exploit through prompt injection. The system requires human approval for sensitive actions and denies unauthorized ones, with intents defined at design time or approved by a human at session start, impacting developers and architects managing AI agents.
feature security - Databricks Blog bloginfradatabricksengineer ·
Databricks Builds Self-Serve Infrastructure Vending Machine for Field Engineering
Databricks has developed the Field Engineering Vending Machine (FEVM), a Databricks App that provisions isolated, governed, and use-case-specific cloud resources on demand. This addresses infrastructure challenges faced by their growing field engineering organization of over 7,000 people, enabling faster development and agent-first framework adoption. The system uses Terraform for provisioning across AWS, Azure, and GCP, with transparency and audibility built-in.
feature announcement - Databricks Blog blogaidatabricksengineer ·
Databricks Genie Code Agent Outperforms General Agents in Accuracy and Cost
Databricks evaluated its data agent, Genie Code, against three general coding agents on over 400 real-world tasks. Genie Code proved to be the most accurate and cost-efficient, delivering correct answers at less than half the cost of other agents. This performance stems from its deep semantic understanding of enterprise context and specialized capabilities, allowing it to navigate complex data workspaces more effectively than general-purpose agents. The evaluation included a wide spectrum of tasks such as data discovery, code creation, debugging, and data lookups, highlighting Genie Code's advantages for full-spectrum data work.
announcement feature - Databricks Blog blogawsdatabricksengineer ·
Databricks Simplifies S3 Data Connection with Delegated IAM Permissions
Databricks has introduced a streamlined, automated flow for connecting Amazon S3 buckets to Unity Catalog, reducing manual configuration from days to minutes. This new method uses AWS IAM temporary delegation, eliminating the need for complex IAM policies and CloudFormation templates, and directly benefiting users by simplifying a foundational step for data ingestion, pipelines, and analytics. The process is now a few clicks within the Databricks workspace, automatically provisioning necessary storage credentials and external locations with least-privilege permissions. Users lacking sufficient AWS access can request it from their administrator directly within the flow, and the authorization automatically expires after provisioning, enhancing security.
feature - Databricks Java SDK Releases sdkdatabricksengineer ·
Databricks SDK for Java v0.134.0: New fields and one breaking change
Databricks SDK for Java v0.134.0 introduces several new fields across compute, jobs, ML, and Postgres integration, enhancing cluster configuration and schema management. However, it also includes a breaking change with the removal of the 'lifetime' field in the TimeWindow model for ML services. These updates primarily affect Java developers working with the Databricks platform, particularly those integrating with compute, ML workflows, or data synchronization features.
breaking patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.163.0: New fields and breaking change
Databricks SDK Go v0.163.0 introduces several new fields across compute, jobs, ML, and PostgreSQL services, enhancing cluster configuration and ML tasks. Notably, the SDK removes the `Lifetime` field from `ml.TimeWindow`, which is a backwards-incompatible change requiring consumer action. These updates are primarily for Go developers working with the Databricks platform.
breaking patch
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.