SQL. Python. AI agents. GPU pipelines. One platform. Self-optimizing compute that brings resources to your data – automatically, without moving or duplicating it. Adaptive is now GA on AWS, Azure, and GCP.

SQL has powered critical business systems for decades. 30 years later, it’s still powering what’s next. Explore the Azure SQL Database Foundations series to modernize workloads, scale for the future, and build intelligent apps faster:

Spatial SQL and spatial joins are now supported on Lakehouse//RT! In SpatialBench, queries ran up to 38X faster at 50 concurrent users than a traditional cloud data warehouse, among queries it could complete.

Add -com.apple.CoreData.SQLDebug 1 as a launch argument and you can watch exactly what SwiftData is doing under the hood. Tip: don't delete it when you're done, just uncheck the box so it's ready when you need it again 🔍

An agent-first SQL helper needs an agent-first setup. "npx skills add realZachi/pg-jev" - tell your AI assistant to set it up and you're done And if you like reading docs, those are now live as well!

Modernizing recurring SQL ETL doesn’t require rewriting the workflows you already rely on. Declarative ETL is coming directly into Lakehouse, so SQL practitioners can keep working in familiar SQL workflows while using declarative patterns for common recurring tasks: ↳ APPEND for incremental ingestion ↳ AUTO CDC for change data capture ↳ REPLACE WHERE for targeted batch refreshes Databricks handles the incremental processing, update logic, scheduling, and orchestration needed to run them reliably.

i self-host a sqlite-backed MCP server on a $20/month VPS. last month the disk filled up, WAL checkpointing failed silently, and i spent two hours at midnight restoring from a backup i almost didn't have. the server costs $20. the oncall rotation i volunteered for costs sleep.