OpenMLDB
4ParadigmOpenMLDB is a machine learning database that computes SQL-defined features consistently between offline training and online, low-latency inference. It ships as a distributed, highly-available cluster with an online and offline execution engine sharing the same feature definitions.
No PyPI artifact is declared on purpose. openmldb on PyPI is the Python SDK for connecting to a running OpenMLDB cluster, built from the `python/` directory of this repository, not the distributed database engine; installing it gives you a way to reach a cluster, not a cluster. Declaring it would make the SDK's count the product's adoption on the next warehouse refresh, so it stays undeclared and adoption reads from stars.
Openness
5 high confidence- license
- Apache-2.0(OSI)
- source
- public
- core features withheld
- no
Apache-2.0 license body confirmed. The repository is public and unarchived and builds the whole cluster engine, and the README describes no paid tier, enterprise edition or license-gated build beside it.
- https://api.github.com/repos/4paradigm/OpenMLDB recorded 2026-09-02
Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch main - for 4paradigm/OpenMLDB.
- https://github.com/4paradigm/OpenMLDB/blob/main/LICENSE recorded 2026-10-07
LICENSE file is the verbatim Apache-2.0 text.
- https://github.com/4paradigm/OpenMLDB/blob/main/README.md recorded 2026-10-07
README describes an open-source machine learning database deployed in hundreds of enterprise applications, with no paid tier, enterprise edition or license-key-gated build beside the Apache-2.0 engine.
Adoption
2 low confidenceOpenMLDB declares no package artifact: the openmldb package on PyPI is a client SDK for a running cluster, not the cluster engine itself, so it is left out rather than counted and ignored. With no deployment count published either, GitHub stars are the only adoption signal available.
- https://api.github.com/repos/4paradigm/OpenMLDB recorded 2026-09-02
Repo metadata - stargazers_count = 1,711 - for 4paradigm/OpenMLDB.
Capability
4 medium confidenceOpenMLDB is a complete, highly available distributed database that computes SQL-defined features consistently across offline batch and online serving, with its own persistence and replication. It retrieves and computes features rather than hosting ranking or embedding models inside a serving path, which is what Vespa does and what keeps OpenMLDB one step below it.
- https://github.com/4paradigm/OpenMLDB/blob/main/README.md recorded 2026-10-07
README documents a distributed, highly-available machine learning database with consistent offline and online feature computation, deployed as a cluster.
Verified 2026-09-27