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Data Tables & Ducklake: managed storage for workflows

Windmill

We are shipping two new storage primitives: Data Tables for relational data with managed SQL, and Ducklake for massive datasets backed by S3.

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BlogsAutomatically Populate CRM from Simple Emails with OpenAI and Windmill WorkflowsWindmill BlogsLaunch Week Day 5 - Windmill for data pipelinesWindmill BlogsUse Supabase Authentication on Windmill to query RLS protected tables for external appsWindmill BlogsBuild a Slackbot with Windmill WorkflowsWindmill BlogsFull-code apps: React and Svelte on WindmillWindmill BlogsLaunch Week Day 4 - Groups of ComponentsWindmill EventsCloud Security Trends & Challenges: Complete GuideCybersecurity Exchange BlogsGrouping Immutable Deploy DataNetlify BlogsAI Working for You: MCP, Canvas, and Agentic Workflows - Part 2Honeycomb BlogsPostgres for Everything: Why Vecstore Replaced Pinecone and RDS with Neon - NeonNeon BlogsMonitor Your Neon Usage Via Slack Alerts - NeonNeon BlogsCreate Environments with Masked Production Data Using Neon Branches - NeonNeon BlogsHow to Handle PII in Staging Databases Without Losing Realistic Data - NeonNeon BlogsMySQL data types: VARCHAR and CHARPlanetscale BlogsWorking with Geospatial Features in MySQLPlanetscale BlogsDealing with large tablesPlanetscale BlogsPlanetScale Managed is now PCI compliantPlanetscale BlogsNon-Blocking Schema ChangesPlanetscale BlogsAnnouncing the PlanetScale GitHub ActionsPlanetscale BlogsSelf-managed Vitess vs Managed Vitess with PlanetScalePlanetscale