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. Last updated 14d ago.
80 tracked·50 GA·14 in preview·16 announced
Platform
Apps, marketplace, foundations.
- Databricks AppsGADatabricks Apps is a purpose-built platform designed to streamline AI app development by eliminating infrastructure, authentication, and data synchronization overhead.
- Databricks MarketplaceGADatabricks Marketplace is a platform for discovering and deploying data products and solutions.
Governance
Unity Catalog, ABAC, classification, audit.
Unity CatalogGAUnity Catalog provides governance for data, making it searchable and actionable within document activation workflows.14
- Catalog CommitsGA
- Catalog Federation from Unity Catalog (to Google Cloud Lakehouse)GA
- Catalog Federation to Unity Catalog (from BigQuery)GA
- Credential VendingGA
- Role-Based Access Controls for Data GovernanceGA
- Stream based UC volume ingestionGA
- Unity AI GatewayGA
- Unity Catalog ABAC policiesGA
- Unity Catalog column masking policiesGA
- Unity Catalog data classificationGA
- Unity Catalog External LineageGA
- Unity Catalog governed tagsGA
- Unity Catalog metric viewsGA
- Unity Catalog row filtering policiesGA
Storage
Delta Lake, Lakebase, table formats.
- Delta LakeGADelta Lake is an open-source storage layer that brings reliability to data lakes.
- Iceberg v3GANative support for the Apache Iceberg v3 spec: deletion vectors, row tracking, and the VARIANT type, across managed, foreign, and UniForm tables.
LakebaseGALakebase is a new open architecture designed to combine transactional database speed with data lake flexibility and economics for modern data and AI workloads.3
- Managed IcebergGAUnity Catalog managed Iceberg tables you can create, read, and write from any Iceberg engine via the Iceberg REST Catalog APIs.
Data engineering
Lakeflow, pipelines, ingestion.
LakeflowGAUnified data engineering platform receiving a major evolution toward agentic data engineering, encompassing Connect, Designer, Jobs, and declarative pipelines.2
- Spark Real-Time ModeGAA Spark Structured Streaming execution mode that delivers sub-second end-to-end latency for input processing and timer-driven output without a separate streaming engine.
- 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
Mosaic AI, Agent Bricks, Genie, MLflow.
- AI GatewayGAAI Gateway provides unified governance for AI models and access policies.
Databricks GenieGADatabricks Genie allows quality leaders to interrogate their full operational dataset using natural language, synthesizing data from various sources in a single query.5
- MLflowGAMLflow is an open-source platform for managing the end-to-end machine learning lifecycle.
Mosaic AIGAMosaic AI is a suite of tools and capabilities for building, deploying, and monitoring AI models on Databricks.4
- OpenAI CodexGAOpenAI's Codex model is now natively available within the Databricks platform.
- OpenAI GPT-5.5GAOpenAI's GPT-5.5 model is now natively available within the Databricks platform.
SQL & BI
Databricks SQL, dashboards, BI.
- AI/BI MapsGAAI/BI dashboards render maps directly from Geometry or Geography columns.
- Spatial SQLGANative SQL support for geospatial vector data including spatial data types, OGC-compliant functions, and high-performance spatial joins on Databricks.
Connectivity
Lakeflow Connect, sharing, partner integrations.
- Databricks JDBC DriverGAAn open-source JDBC driver for Databricks, offering improved performance and new capabilities for connecting to the platform.
- Delta SharingGADelta Sharing is an open protocol for secure data sharing with other organizations.
- MCP MarketplaceGAMCP Marketplace provides real-time external intelligence for agentic applications through partner data offerings.
Observability
Monitoring, system tables, telemetry.
- HydraGAHydra is a novel Lakehouse-based platform developed by Databricks for managing high-cardinality troubleshooting metrics at massive scale with significantly cheaper storage.
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.