AWS has introduced vector search in several of its managed database services, including OpenSearch, Bedrock, MemoryDB, Neptune, and Amazon Q, making it a comprehensive platform for vector search solutions.

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

Managed PostgreSQL service with pgvector integration for hybrid SQL+vector search on existing Postgres infrastructure. Provides ACID transactions and enterprise features, offering cost-effective alternative to dedicated vector databases.

DataStax Astra DB is a managed, serverless vector database built on Apache Cassandra with integrated JVector for AI vector storage and search. It offers serverless scaling, global distribution, hybrid search capabilities, and seamless integrations with LangChain and LlamaIndex. Ideal for enterprise RAG pipelines and real-time AI applications, it provides multi-region replication and zero-ops management superior to self-hosted Milvus.

Built into the Salesforce platform, Data Cloud Vector Database ingests various large datasets from customer interactions, classifies and organizes unstructured data, and merges it with structured data to enrich customer profiles and store as metadata in Data Cloud. It enhances generative AI by providing more relevant, accurate, and up-to-date responses through improved data retrieval and semantic search capabilities.

Datastax offers a vector search solution integrated with its database platform, enabling approximate similarity search and hybrid queries for enterprise use cases.