Tecton and Feast are two popular options for building and managing features for real-time ML. That’s great news for end users building their own ML stack because they can choose the product that best supports their unique requirements and use cases.

Yet Tecton and Feast are also very different products, and it’s important to understand their differences to make the right decision. 

• Tecton is a SaaS product and provides a complete feature platform for automating ML data pipelines. 

• Feast is self-managed, open-source software and focuses only on serving features for offline training and online inference.

In this webinar, we’ll do a deep-dive comparison of Feast and Tecton, and provide our recommendation on when to choose which product. We’ll highlight the key technical differences through concrete examples, from high-level architecture to the nitty-gritty with a hands-on technical demo. 

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More specifically, we’ll cover:

• Automating different types of data pipelines (batch, streaming, and on-demand features with time-window aggregations) 

• Orchestrated feature materialization

• Training dataset generation

• Online serving and associated service levels

• Monitoring

If you’re wondering whether Feast or Tecton is right for you, you won’t want to miss this live webinar! We’ll end with a Q&A session to make sure no stone is left unturned.

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