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Pyyan / Compare / Redis vs Qdrant vs Milvus

Redis vs Qdrant vs Milvus

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Vector Databases · verified 13 Aug 2026

×RedisRediscurrent
×QdrantQdrantcurrent
×MilvusZillizcurrent
2 slots left
SpecificationRedisQdrantMilvus
SummaryIn-memory, so very fast and RAM-bound.The fastest of the purpose-built stores.Built for billions of vectors.
IndexHNSW, FLATHNSWHNSW, IVF, DiskANN, GPU
Hybrid searchYesYesYes
HostingSelf-host and managedSelf-host and managedSelf-host and managed
LicenceRSALv2 / SSPLApache 2.0Apache 2.0
p50 latency5ms4ms~10ms
CategoryVector DatabasesVector DatabasesVector Databases
OfficialRedis ↗Qdrant ↗Zilliz ↗

Highlighted rows are where these differ.

Redis

  • Practical to roughly 10 to 100 million vectors
  • You are paying for RAM, which sets the ceiling

Best for caches and hot vector sets.

Full spec sheet →

Qdrant

  • Written in Rust; 10 to 25% faster than Weaviate or Milvus on common workloads
  • Strong filtering alongside vector search
  • Self-host or managed, same engine

Best for latency-sensitive retrieval.

Full spec sheet →

Milvus

  • Distributed architecture with GPU index support
  • Heavier to operate than the alternatives

Best for very large corpora.

Full spec sheet →