Elasticsearch
Elasticsearch's vector search uses HNSW dense vector fields and k-NN search, available from version 8.0+ with kNN support GA in 8.4. Part of the existing Elastic Stack; no extra licensing for self-hosted. Elastic Cloud adds managed hosting from $95/month.
Elasticsearch vector search is the right choice when you're already running Elasticsearch and want hybrid BM25 plus vector search without adding infrastructure. For new projects where vector search is the primary workload, evaluate Qdrant or Weaviate - they're built for it and will perform better per dollar.
· Expert analysis by Oleh Kem, Founder, ComparEdge
Strong vector databases choice for Teams with existing Elasticsearch who want to add semantic search without a new database - 4.3/5 rating, 16 features, free to start.
Top Pros
- Combines vector search with world-class full-text search in one engine
- 1B+ downloads — vast operational expertise available
- ELSER provides state-of-the-art sparse vector without custom models
Watch Out For
- Operational complexity of Elasticsearch at scale
- Not purpose-built for vector — performance trails Qdrant/Pinecone
