DBDuck is a developer tool offering a unified Python API for interacting with SQL, MongoDB, Neo4j, Qdrant, and vector databases. It streamlines backend development by providing a single interface for multiple database types and supports async workflows.
DBDuck is a Frameworks & SDKs project. It focuses on simplifying database access and integration across multiple database types in Python applications. Its primary audience is python backend developers. It ships for the web, the command line, and API.
DBDuck first shipped in 2026. The project is developed in the open on GitHub with 28 commits in the last 90 days. Among its 5 catalogued features are Unified API, multi-database support, and async workflows.
Summary written by a language model from the project’s public pages.
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