LibreDB Studio icon
LibreDB Studio icon

LibreDB Studio

LibreDB Studio is a browser-based database client 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...

LibreDB Studio screenshot 1

Cost / License

  • Free
  • Open Source (MIT)

Platforms

  • Mac
  • Windows
  • Linux
  • Self-Hosted
  • Docker
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GitHub repository

  •  795 Stars
  •  148 Forks
  •  46 Open Issues
  •   Updated  
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Our users have written 1 comments and reviews about LibreDB Studio, and it has gotten 3 likes

LibreDB Studio was added to AlternativeTo by AbdullahKaya on and this page was last updated .

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

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What is LibreDB Studio?

LibreDB Studio is a browser-based database client 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.

Sixteen drivers ship in the box: PostgreSQL, MySQL, Oracle, SQL Server, SQLite, libSQL, DuckDB, MongoDB, Redis, Couchbase, ClickHouse, Apache Druid, Elasticsearch, OpenSearch, Apache Trino and Cassandra. A further 26 engines speak one of those wire protocols and are reached through the same drivers, which brings the total to 42. All 26 were checked against running instances and the result for each one, including what did not work, is published in docs/providers/README.md.

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.

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