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Milvus vs MyScale

A side-by-side comparison of Milvus and MyScale, two Vector DB tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Milvus

Vector DB

Distributed vector database built for billion-scale search.

View Milvus

MyScale

Vector DB

SQL vector database built on ClickHouse — vector, full-text, and analytics in one query.

View MyScale

At a glance

Feature comparison of Milvus and MyScale
AttributeMilvusMyScale
CategoryVector DBVector DB
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
PlatformsAPIAPI
Model supportModel-agnosticModel-agnostic
Vendor (differs)ZillizMyScale

The honest brief

Milvus

Storage/compute split plus DiskANN make it the most robust open-source choice at billion-vector scale.

  • Scales to billion-vector deployments
  • Storage/compute separation
  • Many index types (HNSW, IVF, DiskANN) + GPU
  • Mature project with a large community
  • Operationally heavy to self-host
  • Overkill for small workloads
  • Performance hinges on data quality
  • Higher latency than Qdrant at p50

MyScale

Built as a ClickHouse fork, so one SQL query can mix vector search, full-text search, and analytics—no separate vector store to keep in sync.

  • Open source (Apache-2.0), self-hostable
  • SQL joins vectors with structured data
  • Built on battle-tested ClickHouse
  • Free managed starter pod
  • Smaller community than Pinecone/Milvus
  • Open-source release cadence slowed after 2024
  • SQL-first model has a learning curve