Side by side
Feast vs OpenMLDB
Both stand on feature store software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan APILinuxSelf-hosted+1
Feast provides a broad feature-management workflow, from versioned definitions and training datasets to online serving. Teams should account for its authentication responsibilities and the separate engine required for batch transformations.
Visit Feast Free plan APILinuxMac+1
OpenMLDB brings SQL feature engineering together with online and batch engines, and offers both standalone and cluster versions. Check the Kubernetes limitation if your deployment depends on LOAD DATA, SELECT INTO, or other offline-related functions.
Visit OpenMLDBThe facts
| Feast | OpenMLDB | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux, Self-hosted, Web | API, Linux, Mac, Self-hosted |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 1 |
| Maker | Not published | Not published |
| Website | feast.dev | openmldb.ai |
| On feature store software | #1 of 20 | #5 of 20 |
Feast: what it does well
- Supports batch and real-time feature serving.
- Point-in-time joins guard against future-value leakage.
- Python SDK and CLI manage feature workflows.
- HTTP feature server accepts JSON input and output.
- Open source and free.
What to know first
- Default authorization configuration is no_auth.
- Clients must manage and pass authentication tokens.
- Batch transformations need a separate transformation engine.
- Spark processing is described as experimental.
OpenMLDB: what it does well
- Free and open source.
- SQL workflow covers feature development and online deployment.
- Cluster and standalone deployment options are listed.
- Supports Pulsar and DolphinScheduler integrations.
What to know first
- Kubernetes cluster deployment lacks a TaskManager.
- Some offline-related functions are unsupported in that deployment.
- Kubernetes deployment tool is tested with Kubernetes 1.19 or later and Helm 3.2.0 or later.
Alternatives to Feast Alternatives to OpenMLDB The whole list