Elastic / Elasticsearch
Vector Databases & Retrieval Infrastructure
Last updated · Compiled from public sources with automated enrichment
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Widely used search engine with vector/hybrid search support.
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- Category
- Vector Databases & Retrieval Infrastructure
- Founded
- 2012
- Status
- Active
- Open source
- Yes
- Pricing
- Freemium
- Funding stage
- Public
- Total raised
- —
- Popularity
- Steady
- Modality
- Text
- GitHub stars
- —
Relationships
4 of 4 confirmed by two independent sources · none yet backed by a published source.
competes with4
- OpenSearchOpenSearch is a fork of Elasticsearch.
- pgvectorpgvector adds vector search to PostgreSQL.
- WeaviateWeaviate offers hybrid search capabilities.
- Zilliz / MilvusChroma is an open-source embedding database.
More in Vector Databases & Retrieval Infrastructure
- ChromaOpen-source embedding database designed for LLM applications.
- LanceDBEmbedded, serverless vector database built on the Lance data format.
- MarqoEnd-to-end vector search engine combining embeddings and retrieval.
- MongoDB Atlas Vector SearchVector search built into MongoDB's managed Atlas platform.
- Neo4jLeading graph database, also supports vector indexes for GraphRAG.
- OpenSearchOpen-source search and analytics suite, an Elasticsearch fork, with vector search.
- PineconeManaged vector database purpose-built for similarity search at scale.
- QdrantOpen-source vector database written in Rust, focused on performance.
- Redis (vector search)In-memory database with vector search capabilities for RAG use cases.
- SingleStoreDistributed SQL database with native vector search support.
- TileDBUniversal database engine supporting vector search on multi-dimensional data.
- TurbopufferObject-storage-backed vector database built for cost efficiency at scale.