Case Study: Pinecone achieves rapid, scalable vector search with Google Cloud Platform

Pinecone Powering the AI revolution with fast, accurate vector search

Pinecone, a fast-growing vector database company in the generative AI market, needed a cloud platform that could keep up with rapid customer growth and massive data volumes. After moving from a third-party provider, Pinecone turned to Google Cloud Platform to support its need for a responsive, scalable architecture for fast vector search and reliable AI workloads.

Google Cloud Platform helped Pinecone migrate its infrastructure and build on Google Kubernetes Engine, Cloud Spanner, and other Google Cloud data services. The result was the ability to store hundreds of billions of vectors, serve millions of queries per second at ultra-low latency, and scale from hundreds to hundreds of thousands of users in months, while maintaining high availability and consistency.

Pinecone

Lior Ehrenfeld

VP of Finance and Ops