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New Vertex AI Feature Store: BigQuery-Powered, GenAI-Ready


Initial customer reactions

The Feature Store team worked hand-in-hand with many Google Cloud customers to incorporate feedback and improve the product experience, bringing simplicity, speed, and embeddings support to customers like Wayfair and Shopify:

Vertex Feature Store’s new capabilities present a major operational win for our team. We expect improvements across the board in areas such as:

  • Inference and Training – Native BigQuery operations are fast and intuitive to use, which will not only simplify our MLOps pipeline but also allow our data scientists to experiment seamlessly.
  • Feature Sharing – By using BigQuery datasets with familiar permission management, we can better catalog our data with our existing tools.
  • Embeddings Support – We leverage custom vector embeddings generated by our in-house algorithms for many applications, such as encoding customer behavior for scam detection. It’s great to see vectors become first-class citizens in the Vertex AI Feature Store. Reducing the number of systems we need to maintain frees up our MLOps for more tasks, helping our teams ship models into production faster.”

– Gabriele Lanaro, Senior Machine Learning Engineer, Wayfair

“Feature Store 2.0 is a significant improvement in design. The reconfiguration of BigQuery as the offline store is a key change, eliminating the need for data duplication. The speed of the low latency online store ensures quick online inference for machine learning models that will unlock new live and responsive tools for our merchants. These improvements are a testament to our partnership with Google Cloud, and we’re excited to see how these continued improvements can provide our merchants with an unfair advantage in the future.”

– Marc-Antoine Bélanger, Senior Data Developer, Shopify

What’s next

We’re thrilled to expand access to more customers to enable them to try the new Feature Store and look forward to incorporating more feedback along our path to General Availability. To get started, please refer to our official Public Preview documentation.

Learn more

Curious about the vision of the new Feature Store? Check out our session at NEXT ‘23 and read more about Vertex AI announcements made at Google Cloud Next ‘23.

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