Features are the building blocks of Machine Learning

We already support a wide range of data infrastructure and ML platforms, including Amazon SageMaker, Databricks, and Kubeflow. Our goal is meeting you where you are and making the implementation of our Virtual Feature Store incredibly simple and valuable, so we’re constantly working to expand our available integrations.

The only thing you’ll need to do for Featureform to utilize your existing Features is append them with a snippet of proprietary code.

If you’re using models that depend on accurate, specialized Features, you’ll want a way to organize, manage, and track those Features over time. A Feature Store is built for that purpose, while a Virtual Feature Store offers the exact same functionality in a lightweight package. Create more reliable models, and iterate faster than ever before.

You can click here to set up a demo of the Featureform platform, or email us at hello@featureform.com so we can answer your most specific questions. Either way, we look forward to hearing from you soon!