Databricks SQL
Recent items mentioning Databricks SQL across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
TruGreen's Genie-powered lawn-care rollout puts a Databricks SQL-backed Lakehouse in front of non-technical branch managers, letting them act on weather/soil/service data without writing queries 1. Meanwhile the community content skews toward performance and interoperability: a three-part JMeter series details how to load-test SQL Warehouses for concurrency 234, alongside guides on serving Tableau reports straight from Databricks SQL 5 and reading query plans via EXPLAIN FORMATTED 6.
Generated daily from the 6 most recent items mentioning Databricks SQL. Click any [N] to jump to the source.
NewsHow AI and Data Keep 2.3 Million Lawns Healthy | TruGreen & Databricks
TruGreen uses Databricks Genie and Lakehouse to manage 2.3 million lawns with AI that optimizes service timing and predicts customer churn using weather, soil, and service data. The system enables non-technical branch managers to take daily actions through customized reports without requiring data expertise.
Load Testing Databricks SQL Warehouses with JMeter — Part 3: Running and Analyzing Results
Load Testing Databricks SQL Warehouses with JMeter — Part 2: Concurrency and the Test Plan
Load Testing Databricks SQL Warehouses with JMeter — Part 1: Inputs and Configuration
Serve Tableau Reports Directly from Databricks SQL
Understanding EXPLAIN FORMATTED in Databricks SQL
Building a soccer coaching app on Databricks
Coach's Corner is a Databricks App that processes 25 fps match tracking data into a sub-second 2D/3D tactical bench with replays, event analytics, a scout chat, and an opponent-dossier agent. The end-to-end solution is powered entirely on the Databricks platform, utilizing Lakeflow pipelines for data refinement, DBSQL and Lakebase for rapid querying, and Unity Catalog-governed AI tools like Genie, Vector Search, and MLflow tracing.
NewsLearn about Zerobus in 15 min!
Databricks Lakeflow Connect Zerobus Ingest is a high-performance, multi-cloud ingestion service that allows users to stream event data directly into their lakehouse without the cost and complexity of a traditional message bus. The video explains the architecture of Zerobus Ingest, announces upcoming API integrations for Kafka and MQTT, and demonstrates how to configure and run a Python client to write data directly into a Delta table.
Introduces catalogs.yml v2 support, a `skip_optimize` config for opting out of post-materialization OPTIMIZE, and Rust kernel backend for SQL warehouses. Fixes numerous incremental model bugs around constraints and tags, but now requires `--full-refresh` to apply changes to primary/foreign key expressions.
ReleasesLakehouse//RT, the real-time Lakehouse powered by Reyden — Reynold Xin, Co–founder & Chief Architect
Databricks introduces Lakehouse//RT, a new SQL warehouse powered by the Raiden engine, designed to provide millisecond performance and massive concurrency for real-time analytics directly on data lake formats like Delta and Iceberg. This innovation aims to unify data warehousing and serving stacks, eliminating the need for separate systems and data copies.
Sciene AI Companion: building an autonomous Customer Success platform on Databricks
Sciene built an autonomous Customer Success platform on Databricks, enabling AI-powered CSMs to standardize and scale work with context-aware emails, meeting decks, and account diagnostics. This end-to-end Databricks solution, leveraging Delta Sharing, Lakebase, and SQL Warehouses, significantly improved productivity and saved up to 6x time on key workflows.
1.12.1
dbt-databricks 1.12.1 exposes job run IDs in adapter responses for correlating dbt runs with Databricks workflow executions and adds support for SPOG account-level vanity URLs. The release fixes critical issues including Iceberg incremental models losing clustering, column constraint enforcement now gated to require explicit `contract.enforced: true`, and various SQL warehouse compatibility problems.
Databricks Asset Bundles now features a select flag for plan and deploy commands to target specific resources alongside their transitive dependencies. The experimental open command now supports all bundle resource types with workspace URLs
Query Tags: The Context Your Warehouse Queries Have Been Missing
Databricks SQL warehouses now support query tags, enabling cost attribution by team or project and automatic tagging for dbt, PowerBI, and Tableau. Tag queries from any source, including the SQL Editor, Notebooks, Dashboards, APIs, connectors, and drivers.
Announcing Lakebase Change Data Feed (CDF)
Lakebase Change Data Feed (CDF) is now in Public Preview, eliminating pipeline sprawl from operational databases by exposing every table's changes through Unity Catalog Managed Tables. This enables native CDC governed end-to-end without sidecar infrastructure, allowing operational data to function as the native Bronze layer in the medallion architecture.
Announcing the Databricks analytics engineer learning pathway
A new learning pathway for Databricks SQL practitioners is now available on Databricks Academy, covering skills to use the full SQL ETL toolkit for data modeling, pipelines, semantic layers, and conversational agents. Courses are offered in self-paced and instructor-led formats, and are included with any active Databricks Learning Subscription.
MLflow 3.12.0 adds multimodal tracing with artifact attachments supporting rich rendering, extends coding agent tracing to Codex/Gemini/Qwen platforms, and introduces gateway guardrails for input/output safety. Trace table pagination improves performance, third-party scorer registration enables custom evaluations, and new provider support expands AI Gateway integration options.
TutorialsLakebase - OLTP Workloads on Databricks!
Lakebase is a fully managed, serverless PostgreSQL offering from Databricks that decouples compute and storage, enabling independent scaling, auto-scaling to zero, and deep integration with the Databricks Lakehouse. It supports reverse ETL to bring data from the Lakehouse into Lakebase for OLTP applications and forward ETL to sync transactional data back to the Lakehouse for analytics.
NewsStop Guessing Table Health — Let These Dashboards Tell You
Databricks offers two dashboards for monitoring table health and access: the Table Access Advisor and the Table Health Advisor. These dashboards provide insights into table ownership, read/write patterns, staleness, optimization status, and underlying file structures, helping users identify ghost tables and ensure best practices.
NewsDatabricks News: Free Tier, Multi-statement transactions, Declarative Automation Bundles, Genie Code
Databricks now offers a free tier for Lakeflow Connect, providing 100 DBUs per day per workspace, and has introduced multi-statement transactions in Unity Catalog that ensure atomicity with rollback capabilities. The platform also announced a Databricks One mobile app, a new AI runtime with pre-installed tools for GPU use cases, and enhanced Genie Code that understands project structure for automated development tasks. Additionally, Databricks Asset Bundles are now called Declarative Automation Bundles and use a faster direct engine, and a new 5X-Large SQL warehouse is available for processing terabytes of data.
TutorialsDatabricks End-To-End Project | Zero-To-Expert | Streaming, AI, Lakeflow, Unity Catalog, AI/BI
This video demonstrates building an end-to-end restaurant analytics platform on Databricks, covering streaming and batch data ingestion, AI-powered sentiment analysis, and dashboard creation. It teaches how to use Unity Catalog, Lake Flow Connect for CDC, Spark declarative pipelines for real-time data from Event Hub, and how to construct a medallion architecture with fact and dimension tables.
NewsDatabricks Breaking News: 2026 Week 6: 2 February 2026 to 8 February 2026
Databricks introduces agentic data quality monitoring with anomaly detection, LLM judge UI builder for MLflow, and new SQL warehouse features including a default option and activity details. The platform also enhances its assistant to connect with MCP servers, improves Google Sheets integration with pivot table functionality, and adds direct Git deployment and tagging for Databricks apps.
SQL warehouses now support "5X-Large" cluster sizes and a higher maximum of 40 clusters. This release also fixes permanent drift for external model credentials in databricks_model_serving and improves dashboard file content change detection.
NewsClaude Code: 5 Essentials for Data Engineering
The video introduces five essential concepts for using Claude Code in data engineering: the cloud.mmd file for core project information, skills for packaging expertise, commands for predefined prompts, sub-agents for focused tasks, and Model Context Protocol (MCP) for standardized tool interaction. These components help manage context and memory for effective AI-enhanced development.
NewsDatabricks: What’s new in September 2025? #databricks
Databricks now supports geospatial data types (geography and geometry) with new functions for visualization and spatial operations, and introduces serverless GPU clusters for distributed GPU code execution. The platform also offers enhanced notebook features like side-by-side editing and a notebook-specific search, along with new options for managing serverless environments, SQL warehouses, and access requests in Unity Catalog.
EventsIntroducing Lakebridge: Free, Open Data Migration to Databricks SQL
Lakebridge is a free, open, AI-powered tool for migrating data warehouses to Databricks SQL. It works by analyzing the existing environment, converting code using an LLM, migrating data, and then reconciling to validate the migration.
NewsCrypto at Scale: Building a High-Performance Platform for Real-Time Blockchain Data
TutorialsHealthcare Interoperability: End-to-End Streaming FHIR Pipelines With Databricks & Redox
TutorialsDatabricks Metrics - create a semantic layer and improve data engineering
Assessment workflows require account groups to be created beforehand, and Service Principal is no longer supported for workspace installations—account-level installations now require Service Principal with Account Admin and Workspace Admin privileges. Table migration with default catalogs is fixed, workflow assessment filters to the last 30 days, migration progress workflows pause by default, and account group conflicts produce warnings instead of errors.
Tutorials42 Streaming Tables and Materialized Views in DBSQL | Background Working | Schedule data Refresh
TutorialsHow to read files with Databricks SQL # 5/6 of file handling series
NewsLearnings From the Field: Migration From Oracle DW and IBM DataStage to Databricks on AWS
NewsReal-Time Reporting and Analytics for Construction Data Powered by Delta Lake and DBSQL
NewsIncreasing Data Trust: Enabling Data Governance on Databricks Using Unity Catalog & ML-Driven MDM
NewsDatabricks and Delta Lake: Lessons Learned from Building Akamai's Web Security Analytics Product
TutorialsDatabricks SQL Serverless Under the Hood: How We Use ML to Get the Best Price/Performance
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