Milvus
Billion-scale vector search
The top alternatives to Redis Vector in the Vector Databases space, compared on features, pricing, and what they're best at.
Redis offers vector search capabilities through Redis Cloud (fully managed), Redis Software (self-managed), and Redis Open Source, with the Redis Vector Library (RedisVL) simplifying working with vectors in Redis. Unlike dedicated vector databases, Redis offers multi-modal capabilities—handling vector search, real-time caching, feature storage, and pub/sub messaging in a single system, eliminating the need for multiple tools and reducing complexity and cost. Redis supports HNSW (Hierarchical Navigable Small World) for fast approximate nearest neighbor (ANN) search and Flat indexing for exact search. Vector search lives alongside caching, sessions, and messaging in one platform, with data staying in memory with no network hops between systems, enabling core operations to run at sub-millisecond latency. Founded in 2011 and headquartered in San Francisco (relocated from Mountain View in 2024), Redis serves enterprises across multiple industries with proven performance at 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
Elasticsearch
ClickHouse
Analytics + vector
Neon
Serverless Postgres
TigerGraph
Vespa
LanceDB
Turbopuffer
SingleStore
ArangoDB
One platform for routing, observability, tracing, and evals across every LLM provider.