Milvus
Billion-scale vector search
The top alternatives to Elasticsearch in the Vector Databases space, compared on features, pricing, and what they're best at.
Elasticsearch is the world's most widely deployed, open-source vector database, operated by Elastic N.V. (NYSE: ESTC). Vector search is integrated into the widely used Elasticsearch search and analytics engine, leveraging the mature ELK stack ecosystem and offering powerful filtering, aggregation, and combined keyword + vector (hybrid) search capabilities. Founded in 2012 in Amsterdam, Elastic provides a platform for enterprise search, observability, and security use cases. Recent innovations include DiskBBQ, a new disk-friendly vector search algorithm that delivers more efficient vector search at scale and eliminates the need to keep entire vector indexes in memory. Elasticsearch's pricing model is consumption-based, charging only for the compute, storage, and data transfer actually used across three deployment tiers: Standard, Platinum, and Enterprise. With over 470 customers using Elastic for AI (including 410+ using it as a vector database), Elasticsearch has proven capabilities at massive scale.
Milvus
Billion-scale vector search
Pinecone
Fully managed serverless vector database
Qdrant
High-performance open-source vector search
Chroma
Lightweight embedded vector database
Supabase
pgvector hosting
Weaviate
Open-source vector database
Neo4j
Native graph database with Cypher query language
MongoDB Atlas Vector Search
Redis Vector
ClickHouse
Analytics + vector
TigerGraph
Neon
Serverless Postgres
Vespa
LanceDB
Turbopuffer
SingleStore
ArangoDB
One platform for routing, observability, tracing, and evals across every LLM provider.