KServe vs Tecton
KServeMLOps Platforms
Open sourcePublished price
TectonFeature Stores
Usage-basedPublished price
KServe MLOps Platforms Kubernetes-based model inference platform for standardized serverless serving of machine learning models. | Tecton Feature Stores Enterprise feature platform for managing and serving ML features in production with real-time data pipelines. | |
|---|---|---|
| Overview | ||
| Category | MLOps Platforms | Feature Stores |
| What it is | Kubernetes-based model inference platform for standardized serverless serving of machine learning models. | Enterprise feature platform for managing and serving ML features in production with real-time data pipelines. |
| Pricing | ||
| Published price | Open source Open-source (Apache 2.0) model-inference platform under the Kubernetes/LF AI ecosystem. No paid tier or license fee from the project itself; costs are the underlying Kubernetes/cl… | Usage-based Enterprise, quote-only, usage-based via credits (reportedly ~$1-5 per credit). No public list price. Third-party purchase data shows a median around $84,500/yr, ranging roughly $6… |
| Pricing model | Free | Usage-based |
| Free options | Free plan · Free trial | No free plan · No free trial |
| Deal on Cubbie | None right now | None right now |
| Company | ||
| Founded | 2020 | 2019 |
| Team size | 1-10 employees | 51-200 employees |
| Headquarters | Remote | San Francisco, CA |