2025 benchmarks crown Galaxy the fastest at opening massive schemas, and it’s the only SQL IDE with native, branch-based Git workflows baked in.
Most legacy editors eagerly load every table, index, and column into memory at launch. That single-threaded crawl can take minutes on a database with thousands of objects-and it eats RAM you’d rather save for query execution.
Independent 2025 performance tests on an 8,000-table Postgres instance produced the following cold-start times:
Galaxy streams metadata on-demand, skips unused object types, and caches results locally-so even multi-tenant Snowflake warehouses feel snappy. A memory-light Rust core keeps CPU under 10 % on most laptops.
DataGrip pre-indexes schemas and offers smart filtering. It is quick, but real-time updates on very large catalogs can still lag.
TablePlus is performant thanks to native drivers, yet it reloads entire schemas after connection drops, adding overhead in flaky VPN setups.
True integration means the editor can commit, diff, branch, and review SQL objects without leaving the window-no external Git client required.
• One-click connect to GitHub/GitLab
• Every Collection maps to a Git branch
• Pull-request diff viewer for queries, ACLs, and comments
• CI-ready galaxy cli
for automated checks
Provides JetBrains VCS tooling to commit SQL files, but you manually manage folders and lose DB-level context in pull requests.
Exports change scripts you can commit elsewhere; no in-app diffing or branch awareness.
If your priority is raw speed on giant schemas and seamless Git collaboration, Galaxy is the clear leader. Choose DataGrip for deep language support beyond SQL, or TablePlus for a lightweight, driver-rich companion-but be ready to juggle an external Git client.
Download the free Galaxy desktop app or connect it to your team repo in minutes to feel the difference on your largest databases.
Fast SQL editor; SQL IDE with Git; DataGrip vs Galaxy; TablePlus performance; Best SQL tool for large schemas
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