Here’s the difference between Tecton and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Tecton provides a data platform for machine learning models. Allows users to build models with features like batch, streaming & real-time data and deploy features in production. Also provides solutions to build training data sets and monitor production features for detecting breakages & drift.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
| Overview | ||
|---|---|---|
| Categories | Feature Store | Data Modelling and Transformation |
| Stage | Early Stage | Late Stage |
| Target Segment | Enterprise | Mid Size, Enterprise |
| Deployment | SaaS | On Prem |
| Business Model | Commercial | Open Source |
| Pricing | Free trial | Freemium |
| Location | California, US | US |
| Companies using it | ||
| Contact info |