Vector Db (32)

• AWS OpenSearch Serverless Vector Search- Serverless vector search service integrated with AWS, built on OpenSearch. Provides managed vector search without infrastructure management, with billions of vector support and multi-modal search.
• Aiven for OpenSearch- Managed OpenSearch service with vector search capabilities, provided by Aiven. Offers self-hosted equivalent of OpenSearch with managed hosting and support.
• AlloyDB for PostgreSQL (pgvector)- Google Cloud's PostgreSQL-compatible database with pgvector support for vector similarity search. Provides high performance and native PostgreSQL compatibility on GCP infrastructure.
• Astra DB- Fully managed vector database service built on Apache Cassandra, providing real-time vector search with near-zero latency and support for multi-model data. Includes built-in hybrid search and streaming capabilities.
• Azure Cosmos DB for MongoDB Vector Search- Vector search capability in Azure Cosmos DB for MongoDB, enabling semantic search with document-based storage on Microsoft Azure infrastructure.
• Chroma- Open-source AI-native vector database focused on developer productivity. Provides in-memory and persistent storage, works embedded in applications or as a server, with managed cloud option through Chroma Cloud.
• Clickhouse (Native Vector Support)- Open-source analytics database with native vector search support. Combines SQL analytics with vector similarity search, optimized for analytical workloads with vector embeddings.
• Deep Lake- Tensor database and data lake platform designed for deep learning, supporting vector embeddings along with multi-modal data (images, audio, video). Offers managed tensor database with serverless option.
• Endee- An open source vector database designed for high-performance, low-latency vector search with efficient infrastructure usage for AI and semantic search applications.
• Exoscale Managed Vector Search- Managed vector search database service from Exoscale, offering both OpenSearch and PostgreSQL pgvector options with European data residency and GDPR compliance.
• FAISS- Open-source similarity search library developed by Meta/Facebook AI Research. Provides efficient similarity search and clustering on large-scale vector data, optimized for research and custom deployments.
• Google Cloud Vertex AI Vector Search- Managed vector search service on Google Cloud, integrated with Vertex AI for building AI applications. Supports large-scale similarity search with GCP infrastructure and ML integration.
• LanceDB- Open-source serverless vector database with multi-modal support, built on the Lance columnar format. Can run embedded in applications or as a managed service with low-latency billion-scale search.
• Lantern- PostgreSQL extension for vector similarity search, designed as a high-performance alternative to pgvector. Provides optimized indexing and search for vector embeddings in PostgreSQL.
• Marqo- Open-source vector search platform with built-in neural search and multimodal support. Simplifies vector search by automatically handling embeddings and indexing with AI-powered search.
• Milvus- Open-source vector database designed for large-scale distributed vector search. Supports billions of vectors with high scalability, available for self-hosting or managed service through Zilliz Cloud.
• Milvus Lite- Lightweight embedded vector database based on Milvus, designed for rapid prototyping and development. Can be installed as a Python package for in-application vector search.
• MongoDB Atlas Vector Search- Vector search built into MongoDB Atlas, enabling semantic search and RAG alongside operational data in a unified multi-cloud database service. Native integration with document storage.
• MyScale- SQL vector database built on ClickHouse, combining vector search with full SQL analytics capabilities. Optimized for handling both structured and vector data at scale with proprietary MSTG algorithm.
• Neon (pgvector)- Serverless PostgreSQL platform with pgvector support for vector similarity search. Provides branching, point-in-time recovery, and scale-to-zero capabilities alongside vector search.
• Pinecone- Fully managed cloud vector database service with serverless architecture, designed for production-scale semantic search and RAG applications. Provides zero-ops experience with global availability and automatic scaling.
• Qdrant- Open-source vector database built in Rust, optimized for similarity search with advanced filtering capabilities. Offers managed cloud service with strong filtering support and efficient memory usage.
• Qdrant Cloud- Managed cloud version of Qdrant vector database, offering fully managed deployment on AWS, GCP, and Azure with automatic scaling and enterprise features.
• Redis Search- Vector search built into Redis through RediSearch module, providing in-memory vector similarity search with low-latency performance. Available as self-hosted or managed through Redis Cloud.
• Supabase (pgvector)- Managed PostgreSQL database service with pgvector extension enabled for vector similarity search. Combines relational data with vector embeddings in a single database.
• Timescale (pgvector)- PostgreSQL extension and managed service combining time-series with vector search. Offers pgvectorscale for enhanced vector search performance on top of PostgreSQL.
• Turbopuffer- A vector database platform optimized for fast semantic search and similarity matching at scale.
• Vald- Open-source cloud-native distributed vector search engine built in Go. Designed for horizontal scalability with automatic vector indexing and efficient nearest neighbor search using NGT algorithm.
• VectorAI DB- An enterprise vector database designed for edge and on-premises deployment that enables vector search and RAG without cloud dependencies.
• VectorChord- A developer-first vector search extension for PostgreSQL with 100x faster indexing than pgvector using IVF + RaBitQ index technology.
• Weaviate- Open-source vector database with cloud-managed option, featuring GraphQL API, hybrid search (vectors + keywords), and built-in ML model support. Available as self-hosted or managed cloud service.
• Zilliz- Fully managed cloud vector database built on the open-source Milvus engine, with AI-powered optimization and support for billion-scale vector search across AWS, GCP, and Azure.