Snowflake to accelerate ML projects with Tecton and Feast feature stores

Snowflake is getting new feature stores, as an increasing number of enterprise teams look at the data company to build and deploy machine learning applications. In a statement on Wednesday, Tecton announced a partnership with the data giant under which the former's feature store, known for managing the complete lifecycle of machine learning (ML) features, as well as the open-source one from Feast will be integrated with the Snowflake Data Cloud. The move, as the companies explained, will give enterprise data scientists a fast yet simple way to build production-grade features for a broad range of operational ML use cases, starting from fraud detection and product recommendation to real-time price tracking. Enterprises using cloud data platforms (such as Snowflake) for ML projects can run into issues such as distinct pipelines during implementation or training data leakages/inaccuracies. This can slow the development time, affecting the delivery of the project.