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Roadmap

What's GA, what's coming.

Every Databricks product and feature we track, with the status it was last seen in. Sources are public blog posts and DAIS announcements only. Independently maintained. Catalog snapshot: 31 October 2026.

151 tracked·90 GA·48 in preview·11 announced
StatusAllGAPreviewAnnouncedDeprecated
CategoryAllPlatformGovernanceComputeStorageData engineeringAI & MLSQL & BIConnectivityObservabilitySecurity

Platform

Apps, marketplace, foundations.

5
  • Custom URLsPublic previewGives a Databricks account a single branded domain, such as mycompany.databricks.com, that serves every workspace in the account, so users log in once and stay signed in as they move between workspaces. Existing per-workspace URLs keep working, and admins can redirect them to the custom URL.
  • Databricks Academy ProGAAn annual per-seat training subscription that bundles unlimited self-paced courses, live instructor-led classes and hands-on labs in a real Databricks environment. Each seat also includes one certification exam voucher per year.
  • Databricks AppsGABuilds and hosts data and AI applications written in Python, for example with Streamlit, Dash or Gradio, or in Node.js, on serverless compute inside a Databricks workspace. Apps integrate with Unity Catalog for governance, Databricks SQL for queries and OAuth for authentication, and are used for dashboards, RAG chat apps, data entry forms and operational tools.5
  • Databricks IDE ExtensionsGAThe Databricks IDE extension, also known as the Databricks extension for Visual Studio Code, connects Visual Studio Code or Cursor on a local machine to remote Databricks workspaces. Developers can sync local code with the workspace, run Python files and notebooks on Databricks compute or as Lakeflow Jobs, debug with Databricks Connect, and deploy Declarative Automation Bundles.
  • Databricks MarketplaceGADatabricks Marketplace is a platform for discovering and deploying data products and solutions.

Governance

Unity Catalog, ABAC, classification, audit.

1

Compute

Clusters, serverless, runtimes.

1
  • Serverless compute access controlGALets workspace admins control who can run serverless workloads through two built-in serverless compute objects: Default Interactive Compute for notebooks and Databricks Connect, and Default Automated Compute for jobs and Spark Declarative Pipelines. Each object has two permission levels, Can Use and Can Manage, and all workspace users have Can Use by default. Databricks SQL, Model Serving, Lakebase and Databricks Apps are not covered by these controls.1

Storage

Delta Lake, Lakebase, table formats.

5

Data engineering

Lakeflow, pipelines, ingestion.

4
  • AUTO CDCGAThe AUTO CDC and AUTO CDC FROM SNAPSHOT APIs in Lakeflow pipelines, which process a change data feed or a series of database snapshots into SCD Type 1 or Type 2 tables without hand-written merge logic. They replaced the APPLY CHANGES APIs, with the same syntax, and the FLOW AUTO CDC clause brings the same flows to streaming tables in Databricks SQL.1
  • LakeflowGADatabricks' end-to-end data engineering solution for ingestion, transformation and orchestration. It includes Lakeflow Connect for ingestion connectors, Lakeflow pipelines built on Spark Declarative Pipelines (formerly DLT), Lakeflow Jobs (formerly Databricks Jobs) for orchestration, and Lakeflow Designer, a visual tool for building transformations with a drag-and-drop canvas or natural language.2
  • Real-time mode in Spark Structured StreamingGAA Structured Streaming trigger that processes each event as it arrives instead of in micro-batches, giving end-to-end latency in milliseconds for workloads such as fraud detection and personalization. It runs on classic compute with dedicated or standard access, while real-time mode inside Lakeflow pipelines is a separate Public Preview.
  • Zerobus IngestGAFully managed, serverless push-based streaming ingest API that writes data directly from any producer into Delta tables governed by Unity Catalog.

AI & ML

Agent Bricks, Genie, MLflow, AI Search.

21
  • Agent BricksGAThe Databricks agent developer platform for building, deploying and governing AI agents in code, with any framework and any model. Its first no-code agents, Knowledge Assistant and Supervisor Agent, reached GA in early 2026 and became legacy in October 2026. Newer parts such as the Agent Bricks CLI, Databricks Sandbox and managed agent memory are in Beta.3
  • AI Functions REST APIGAA REST API for calling ai_parse_document, ai_extract and ai_classify in real time from applications and agents, for example as soon as a document arrives. Databricks also markets it as the Document Intelligence real-time REST APIs.
  • AI Gateway (legacy) for serving endpointsDeprecatedThe original Mosaic AI Gateway for model serving endpoints, which adds permission and rate limiting, payload logging, usage tracking, AI guardrails, fallbacks and traffic splitting to individual endpoints. Databricks now calls it AI Gateway (legacy) and recommends the newer Unity Gateway instead.
  • AI RuntimeGAServerless NVIDIA GPU compute inside Databricks for training and fine-tuning models next to governed data, with GPUs that start in seconds and no GPU infrastructure to manage. It was first released as serverless GPU compute (Beta, June 2025), was named AI Runtime when it entered Public Preview in March 2026, and Databricks announced general availability on October 21, 2026.
  • AI Search (formerly Vector Search)GABuilds search indexes from Unity Catalog tables (Delta tables, streaming tables, materialized views and managed Iceberg v3 tables) and serves vector similarity, hybrid and full-text keyword queries from AI Search endpoints through a REST API or Python SDK; full-text search is in Beta. Delta Sync indexes stay in sync with their source table, with embeddings computed by Databricks or supplied by the user, while Direct Vector Access indexes are updated through the API. Standard endpoints hold up to 320 million vectors at dimension 768, and storage-optimized endpoints over one billion.7
  • ai_decideBetaA SQL AI function that answers one or more questions about text or structured data with a probability, a choice from named criteria, or a score on a scale. It is built for routing, triage and prioritization over governed data and can also be called through a REST API for real-time apps and agents.
  • ai_extract precision modeGAA mode of the ai_extract function for complex document extraction, such as multi-page documents, schemas with 50 or more fields, many extracted items per document and conditional field logic. It pairs custom fine-tuned extraction models with an agentic harness that extracts in parallel with subagents and merges the results, and it is turned on with the precision mode setting in ai_extract or a toggle in the Information Extraction UI. It was previously listed here as Document Intelligence Precision Mode, after the title of the launch blog.
  • Claude Fable 5 on DatabricksGAAnthropic's Claude Fable 5 model, offered as a Databricks-hosted model through Foundation Model APIs pay-per-token on AWS, Azure and Google Cloud, with access governed through Unity Gateway.
  • CustomerLakeBetaDatabricks' agentic customer data platform (CDP) that runs inside Databricks under Unity Catalog governance, giving marketers Customer 360 profiles, natural language audience building with Genie, Campaign Agents and activation to martech and adtech tools without copying data out. It launched in Private Preview at Data + AI Summit on June 16, 2026 and reached Beta on October 19, 2026 when Campaign Agents moved to Beta, while Profile Agents are in Private Preview; access is through the Databricks account team.1
  • Databricks Feature StoreGAThe Databricks central registry for the features used in AI and ML models, governed in Unity Catalog with lineage, point-in-time joins, and feature sharing and discovery across the organization. Teams author features as Feature Views or feature tables and can publish them to Online Feature Stores, powered by Lakebase, for real-time serving. The older Workspace Feature Store for workspaces without Unity Catalog is deprecated.1
  • Databricks GenieGAThe Databricks family of AI experiences for working with data in natural language. It includes Genie One (formerly Databricks One) for business users, Genie Agents (formerly Genie spaces) that data teams curate, Genie Code (formerly Databricks Assistant) for developers, and the Databricks Genie mobile, Slack and Microsoft Teams apps. Genie spaces became generally available in December 2024, while the mobile, Slack and Teams apps are still in Public Preview.8
  • Foundation Model APIs provisioned throughputGAA Foundation Model APIs serving mode that runs foundation models on dedicated capacity with performance guarantees, and the mode Databricks recommends for production workloads. It serves base models, fine-tuned variants and fully custom weights of supported model architectures, with Databricks managing the serving infrastructure.
  • Genesis Workbench (solution accelerator)GAAn open-source Databricks solution accelerator for drug discovery and genomics that runs NVIDIA BioNeMo, Parabricks and other biology models behind a no-code app inside your own workspace. Anyone can deploy it from GitHub, but it is a Databricks Industry Solutions blueprint, not a platform feature with a preview or GA label.
  • Genie OntologyPublic previewThe context layer that gives Genie One and Genie Code a shared map of an organization's business knowledge. It combines Unity Catalog semantics, such as metric views, with snippets that Genie extracts and ranks from existing assets such as dashboards, SQL queries and Genie Agents, and it uses only snippets from assets the user has permission to see.1
  • MLflowGAMLflow is an open-source platform for managing the end-to-end machine learning lifecycle.1
  • Mosaic AI (retired brand)DeprecatedFormer umbrella brand for Databricks AI and ML tools such as Model Serving, Vector Search, Agent Framework and Agent Evaluation. Databricks has dropped the name: Agent Bricks became the umbrella for all its AI capabilities in March 2026, and the tools continue under plain names.
  • OmnigentBetaOpen-source meta-harness for composing, controlling, and sharing multiple AI agents and agent harnesses, also offered as a managed Databricks version.2
  • OpenAI GPT-5.5GAOpenAI's GPT-5.5 and GPT-5.5 Pro models are available as Databricks-hosted models in Model Serving, called through Foundation Model APIs pay-per-token.
  • PipelineIQ (Databricks internal tool)AnnouncedPipelineIQ is a sales pipeline tool that Databricks built for its own field sales organization on Foundation Model APIs, Unity Catalog, Delta Lake and AI/BI dashboards. It gives each sales opportunity a Walk, Pivot or Accelerate recommendation with a rationale and an action plan. Databricks shared it in a blog as an example of using its own platform; it is not a product or feature that customers can turn on.
  • Predictive AI FunctionsBetaA family of SQL functions for forecasting and analysis: ai_forecast version 2 projects time series forward with a time series foundation model, ai_top_drivers ranks the dimension values that contribute most to a change in a metric, and ai_detect_anomalies, ai_predict_value and ai_predict_class detect anomalies and predict values and classes. A workspace admin turns them on with the Predictive AI Functions option on the Previews page. Genie can call ai_top_drivers, and Databricks says the other functions are coming to Genie.
  • WASM Postgres for AI Agent SandboxesAnnouncedEmbeds lightweight WASM-based Postgres databases (PGlite) directly inside AI agent sandboxes with real-time synchronization back to Lakebase.

SQL & BI

Databricks SQL, dashboards, BI.

8
  • AI/BI MapsGAAI/BI dashboards render maps directly from Geometry or Geography columns.
  • Dataset materialization for AI/BI dashboardsBetaPre-computes AI/BI dashboard datasets on a schedule so published dashboards render from stored results instead of rerunning expensive queries on every load or click. It covers SQL datasets and local metric views and is turned on from the Previews page.
  • Full-text search indexesBetaA SQL-created index that accelerates substring and keyword queries on text columns of Unity Catalog managed Delta and Iceberg tables by tokenizing content and skipping non-matching files.
  • IP functionsGABuilt-in SQL, PySpark and Scala functions that parse, validate and canonicalize IPv4 and IPv6 addresses and CIDR blocks, such as ip_host, ip_network and ip_cidr_contains, with try_ variants that return NULL on invalid input. ip_cidr_contains also drives an optimized range join for matching addresses against CIDR blocks. The functions require Databricks Runtime 18.2 and above.
  • MATCH_RECOGNIZEBetaA SQL:2016 clause that finds row patterns in ordered data, such as runs of consecutive values or V-shaped price moves, and returns one row per match or every matching row. It works in Databricks SQL and Databricks Runtime 19.0 and above once a workspace admin turns on the Match Recognize preview.
  • NEAREST BY joinGAA SQL join that returns, for each input row, the top K closest rows from a target table ranked by a distance or similarity expression such as vector_cosine_similarity. It supports exact and approximate search for batch vector search on lakehouse tables in Databricks SQL and Databricks Runtime 18 and above.
  • Spatial SQLGANative SQL support for geospatial vector data on Databricks: the GEOMETRY and GEOGRAPHY column types, more than 90 OGC-compliant ST functions for importing, exporting, measuring, constructing and transforming shapes, and spatial joins. GEOMETRY and the ST functions are generally available, while GEOGRAPHY support is still in Public Preview.1
  • SQL scriptingGALets you write procedural logic in SQL, based on the ANSI SQL/PSM standard, with conditional statements, loops, local variables and exception handling. It helps move procedural code from legacy data warehouses together with related features that shipped separately, such as stored procedures, cursors and multi-statement transactions.

Connectivity

Lakeflow Connect, sharing, partner integrations.

4
  • Databricks Excel Add-inGAA Microsoft Excel add-in that browses and imports governed Unity Catalog tables and views, runs SQL, builds pivot tables and writes data back to Unity Catalog. It works in Excel for the web and the Windows and macOS desktop apps.
  • Databricks JDBC DriverGAThe open-source Databricks JDBC Driver, version 3 and above, connects Java applications and tools such as DataGrip, DBeaver and SQL Workbench/J to Databricks. It supports OAuth, Cloud Fetch and Unity Catalog volume operations, and its source code is public under the Apache 2.0 license. The older driver below version 3 is now called Simba JDBC Driver (Legacy).1
  • MCP servers in Databricks MarketplacePublic previewLets providers list Model Context Protocol (MCP) servers in Databricks Marketplace, and lets Databricks users install those servers to connect AI agents, for example in Supervisor Agent and AI Playground, to external data sources, SaaS tools and developer APIs. It was previously listed here as MCP Marketplace.
  • OpenSharing on Databricks (formerly Delta Sharing)GAThe data sharing platform built into Databricks, called Delta Sharing until June 2026. It shares tables and views with other organizations whether or not they use Databricks, shares volumes, models and notebooks with recipients on Databricks, and is the basis for Databricks Marketplace and Clean Rooms.2

Observability

Monitoring, system tables, telemetry.

3
  • BudgetsGASpend monitoring in the Databricks account console. Account admins, and workspace admins for the workspaces they manage, create a budget for the whole account or filtered by workspace, product and custom tags, with up to four monthly thresholds in US dollars at list price that email chosen addresses when spend crosses them. Budgets scoped to Unity Gateway, which is also how Genie budgets work, add per-user limits, can block further requests at a threshold and update in near real time, while other budgets can lag up to 24 hours. Budgets went into Public Preview in June 2024 and reached GA in July 2026, and October 2026 added Budget Manager and Budget Viewer roles and a Spend Status API for Unity Gateway budgets.
  • Hydra (Databricks internal tool)AnnouncedDatabricks' in-house platform for storing high-cardinality troubleshooting metrics on the lakehouse, described in a May 2026 engineering blog. Databricks engineers use it to debug the Databricks platform, and it is not a product that customers can use or turn on.
  • Query tags for SQL warehousesGAEnables tagging queries with custom metadata to facilitate granular compute cost attribution and tracking via system query history tables.

Security

Encryption, network, compliance.

3
  • Inbound Private Link for account-level resourcesBetaLets users on private networks reach Databricks account-level resources, such as the account console and account-level Genie One, through a Private Link endpoint instead of the public internet. This is separate from workspace-level inbound Private Link, which is an older, generally available feature.
  • LakewatchPrivate previewLakewatch is an agentic SIEM (security information and event management) product from Databricks. It brings security, IT and business data into one governed environment in open formats, and uses AI agents built with Agent Bricks, along with Genie, to automate threat detection, triage and investigation.
  • Private network gatewayPublic previewA managed gateway that connects Databricks serverless compute to resources in your own network, on-premises systems and the internet through one connection, so you can route serverless egress through your own security appliances or stable IP addresses. It is in Public Preview on Azure and Private Preview on AWS, with Google Cloud support in development.

How this list is maintained

Every entry traces to a public Databricks source. We extract feature mentions from blog posts as they land, normalize the names, and stamp the status the post claims. We do not have the private-AE roadmap — if a feature exists but hasn't been publicly mentioned, it won't be here. See a stale entry or a missing one? Tell us.