Managed vector database service with 1GB free forever cluster (no credit card required). Fully managed with multi-cloud support across AWS, GCP, and Azure. This is a commercial managed service.

Pinecone is a fully managed vector database designed for high‑performance semantic search and AI applications. It provides scalable, low-latency storage and retrieval of vector embeddings, allowing developers to build semantic search, recommendation, and RAG (Retrieval-Augmented Generation) systems without managing infrastructure.

The DataRobot vector databases feature provides FAISS-based internal vector databases and connections to external vector databases such as Pinecone, Elasticsearch, and Milvus. It supports creating and configuring vector databases, adding internal and external data sources, versioning internal and connected databases, and registering and deploying vector databases within the DataRobot AI platform to power retrieval-augmented generation and other AI use cases.

Google Cloud's fully managed, PostgreSQL-compatible database service that offers vector capabilities, leveraging the power of PostgreSQL and pgvector for AI applications.

Microsoft Azure's managed service for PostgreSQL, which supports the pgvector extension, enabling robust vector database capabilities in the cloud for AI and machine learning workloads.