LibreDB Studio
Browser-based SQL IDE for ten database engines that you deploy next to your data as a container, Helm chart or embedded npm package.
Cost / License
- Free
- Open Source (MIT)
Platforms
- Mac
- Windows
- Linux
- Self-Hosted
- Docker
Features
Support for Docker
- SQLite
- Kubernetes
- MongoDB
- Database Management Tool
LibreDB Studio News & Activities
Recent activities
AbdullahKaya added LibreDB Studio as alternative to pgAdmin
AbdullahKaya added LibreDB Studio as alternative to Beekeeper studio
AbdullahKaya added LibreDB Studio as alternative to Postico- cevheri added Database Management Tool as a feature to LibreDB Studio
- cevheri reviewed LibreDB Studio
sql/nosql and web-based: great cloud and kubernetes solution
- cevheri liked LibreDB Studio
AbdullahKaya added LibreDB Studio as alternative to TablePro Database Client and Antares SQL
AbdullahKaya added LibreDB Studio as alternative to HeidiSQL
AbdullahKaya added LibreDB Studio as alternative to MySQL Workbench and Skipper
AbdullahKaya added LibreDB Studio as alternative to DbNinja, DBeaver, WhatTheDuck and Toad for Oracle
LibreDB Studio information
What is LibreDB Studio?
LibreDB Studio is a browser-based SQL IDE that is installed next to the database rather than on each user's machine. It runs as a single container, a Helm chart, an OpenShift operator, a native package (Homebrew, Snap, deb, rpm, winget), a desktop build for Linux, or as an npm package embedded in another product.
Ten engines share one interface: PostgreSQL, MySQL, Oracle, SQL Server, SQLite, MongoDB, Redis, Couchbase, ClickHouse and Apache Druid. The editor is Monaco, the same core used by VS Code, with schema-aware autocomplete, multiple tabs that keep independent execution state, visual EXPLAIN plans and a virtualised result grid for large sets.
The schema tools behave the same way on every supported engine: an explorer over tables, views and indexes, ER diagrams generated from real foreign keys with PNG and SVG export, schema snapshots on a timeline, and a diff between any two snapshots or two connections that produces migration SQL.
Natural language to SQL is optional and runs against a model you configure, which can be Gemini, OpenAI, Claude or a local model served through Ollama or LM Studio, so the schema does not have to leave the network.
Team features are part of the same build rather than a paid tier: OIDC single sign-on, role-based access control, a query audit trail, and column-level data masking. The project is MIT licensed.



Comments and Reviews
sql/nosql and web-based: great cloud and kubernetes solution