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OpenMLDB

Free#8 of 20 in Feature Store Software

OpenMLDB: A self-hosted feature store for teams that want SQL across online and offline workloads. Ranked #8 of 20 in Feature Store Software by our editors (8.4/10); pricing: Open source; best for self-hosted teams needing SQL-based features.

8.4/10Editor score

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OpenMLDB8.4 Visit OpenMLDB

At a glance

Editor score
8.4 / 10
Pricing
Open source
Best for
Self-hosted teams needing SQL-based features
Paid from
Free
Deployment model
Self_hosted
Facts checked
21 Sep 2026

Where it wins
- SQL supports feature definition, time-series calculations, and extended joins
- Combines low-latency real-time and optimized Spark batch computation
- Supports point-in-time retrieval, online serving, and operational monitoring
Where it doesn't
- Platform coverage is limited to Linux and macOS
- Self-hosted deployment requires the team to manage its infrastructure
- Its SQL-centered approach may not suit teams seeking a narrower feature-store workflow

Our verdict on OpenMLDB

OpenMLDB is an open-source machine learning database and feature platform for teams building real-time ML applications. It is aimed at self-hosted organizations that need SQL-based feature definition and management across both online and offline workloads. The platform supports low-latency real-time computation, batch feature generation, online feature service deployment, time-series processing, and consistency between training and inference. Its stated enterprise use cases include recommendation, risk analytics, finance, and IoT.

The platform’s strongest fit is its breadth across the feature lifecycle. Teams can define features with SQL, compute them in real time, generate batch features through an optimized Spark distribution, and retrieve point-in-time features without data leakage. Time-series window calculations and extended joins add depth for event-driven and temporal workloads. OpenMLDB also includes Prometheus- and Grafana-based operational monitoring, alongside online and offline stores, feature monitoring, and both serving modes.

Its ecosystem supports Apache Pulsar, Apache Kafka, DolphinScheduler, Airflow, Kubeflow, Prometheus, and Grafana. That gives teams options for streaming, orchestration, machine learning workflows, and operations, while Linux and macOS are the documented platform options. OpenMLDB is a strong choice for teams comfortable operating open-source, self-hosted infrastructure and standardizing feature work around SQL. Teams seeking a managed service or broader platform coverage should consider alternatives better aligned with those requirements.

Your product? Our editors can test OpenMLDB in depth and publish a review, labelled as paid · from $149/mo →

OpenMLDB pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.

See plans on openmldb.ai

OpenMLDB fact sheet

Free plan	Not verified
Paid from	Free
Online store	Yes
Offline store	Yes
Point-in-time joins	Yes
Feature monitoring	Yes
Deployment model	Self_hosted
Serving modes	Both
Deployment	Self-hosted
Platforms	Linux, macOS
Support	Email, Community, Docs
Built for	Small business, Mid-market, Enterprise (editorial estimate)
Integrations	7 integrations: Apache Pulsar, Apache Kafka, DolphinScheduler, Airflow, Kubeflow, Prometheus …
Pricing	Open source
Website	openmldb.ai
Facts checked	21 Sep 2026

OpenMLDB integrations

OpenMLDB lists 7 integrations on its own site.

Apache Pulsar
Apache Kafka
DolphinScheduler
Airflow
Kubeflow
Prometheus
Grafana

Alternatives to OpenMLDB

See all OpenMLDB alternatives →

OpenMLDB vs the competition

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Featured on iTechGuides

OpenMLDB is listed in our Feature Store Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update