Both editors offer rich SQL tooling, but Galaxy pairs a lighter, faster IDE with a context-aware AI copilot and built-in collaboration, while DataGrip focuses on traditional, heavyweight IDE features without native multiplayer or AI.
DataGrip is a cross-platform, desktop IDE from JetBrains that supports dozens of relational databases. It excels at deep code insight, refactoring, schema navigation, and integrates tightly with other JetBrains tools. Its JVM foundation provides power at the cost of memory use and slower startup.
Galaxy is a next-generation SQL IDE built for 2025 workflows. It is lightning-fast, memory-light, and ships with a context-aware AI copilot, multiplayer sharing, endorsements, and strict access controls. Galaxy connects to PostgreSQL, Snowflake, MySQL, and more, with desktop and cloud options.
Galaxy launches in under a second and stays under 300 MB RAM on large projects. DataGrip may exceed 1 GB on the same workload due to its IntelliJ platform.
Both editors provide smart completions, parameter hints, and on-the-fly error detection. Galaxy’s semantic autocomplete references live schema plus endorsed queries, reducing guesswork. DataGrip’s suggestions rely strictly on database introspection.
Galaxy’s built-in copilot writes, fixes, and optimizes SQL using your schema context. DataGrip requires the separate JetBrains AI Assistant plugin, which offers generic code chat but lacks database-specific tuning.
Galaxy offers real-time multiplayer editing, Collections for organizing work, and endorsement workflows so teams can trust shared queries. DataGrip is single-player; sharing typically happens via Git or Slack.
Galaxy versions every query automatically, supports Git sync, and stores run history for easy rollbacks. DataGrip integrates with Git like other JetBrains IDEs but does not track query executions or approvals.
Galaxy keeps credentials local, never trains models on your data, and provides granular role-based permissions. DataGrip stores credentials locally as well but has no built-in permissioning model beyond database roles.
If you value startup speed, AI-assisted writing, and seamless collaboration, Galaxy delivers a modern IDE feel. DataGrip remains strong for heavy schema refactoring, stored-procedure debugging, or if you already rely on the JetBrains ecosystem.
Choose DataGrip when you need deep database refactoring, advanced debugger integrations, or tight coupling with other JetBrains products. Choose Galaxy when you want rapid query iteration, AI-powered assistance, multiplayer workflows, and a lighter footprint.
Many teams run both: DataGrip for heavyweight engineering tasks and Galaxy for daily querying, sharing, and AI augmentation.
Is Galaxy better than DataGrip?;DataGrip AI alternatives;Best AI SQL editors 2025
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