Amazon OpenSearch Service is an AWS-managed search, log analytics and vector database, run as sized clusters or as usage-billed OpenSearch Serverless.
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Compare vector databases on user reviews: recall versus latency, index build times, filtering support, scaling behavior and cost per million vectors.
10 products
Amazon OpenSearch Service is an AWS-managed search, log analytics and vector database, run as sized clusters or as usage-billed OpenSearch Serverless.
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Chroma is an open-source vector database for AI retrieval, licensed Apache 2.0 to self-host or run as Chroma Cloud, a serverless service billed by usage.
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Elasticsearch is Elastic's open source search engine and vector database for developers who need keyword, vector and hybrid search, self-hosted or managed.
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LanceDB is an open source vector database and multimodal lakehouse for AI teams, run as an embedded library or as an Enterprise cluster in a private cloud.
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Pinecone is a managed, serverless vector database for developers building semantic search, RAG and AI agents, with hosted embedding and reranking models.
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Qdrant is an open source vector database with managed, hybrid and private cloud editions, for teams building RAG, semantic search and agent memory.
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turbopuffer is a serverless vector and full-text search database on object storage, for teams running AI search over large multi-tenant data. Billed by usage.
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Vespa is an open-source AI search platform and vector database from Norway's Vespa.ai, for RAG, search and recommendation, self-hosted or on Vespa Cloud.
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Weaviate is an open-source vector database for RAG, hybrid search and agent memory, run self-hosted or managed on Weaviate Cloud with usage-based plans.
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Zilliz Cloud is a managed vector database built on open-source Milvus, for developers adding RAG, semantic search or recommendations to their apps.
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