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Introducing Respan Router

Milvus vs SingleStore (2026)

Updated February 28, 2026

vs

Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
Organizations that need vector search at billion-scale with high throughput
Best For
—
Product Summary

Milvus is an open-source vector database built for scalable similarity search, capable of handling billions of vectors. Backed by the Zilliz company, Milvus supports multiple index types (IVF, HNSW, DiskANN), GPU-accelerated search, and multi-tenancy. Zilliz Cloud offers a fully managed version with automatic scaling. Milvus is widely used in enterprise deployments requiring high-throughput vector search at scale.

Product Summary

SingleStore is a distributed SQL database with built-in vector search capabilities.

Starting Price
Free
Starting Price
—
Free Trial
Yes
Free Trial
No
Free Version
Yes
Free Version
No
Website

Key features

Core capabilities each platform advertises.

MilvusMilvus
  • Billion-scale vector search
  • GPU-accelerated indexing
  • Distributed architecture
  • Multiple index types
  • Cloud and self-hosted options
SingleStoreSingleStore
Data not available

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

MilvusMilvus

Pros

  • Extreme scalability handling billions of vectors in distributed environments
  • Fully open-source under Apache 2.0 with no vendor lock-in
  • Hybrid search combining dense and sparse vectors in single queries
  • Rich index flexibility with IVF, HNSW, DiskANN and GPU acceleration
  • Managed cloud option reduces DevOps burden with auto-scaling

Cons

  • Complex distributed architecture requiring Kubernetes for production
  • Steep learning curve for index tuning and deployment configuration
  • High memory and storage requirements for large datasets
  • No in-place vector updates requiring delete and re-insert workarounds
SingleStoreSingleStore

Pros

  • Unified platform combining transactional, analytical, and vector workloads
  • Co-located vector data with relational data for powerful SQL queries
  • Multiple vector index types (FLAT, IVF_FLAT, IVF_PQ, HNSW_FLAT, HNSW_PQ)
  • MySQL and MongoDB wire protocol compatibility for easy integration
  • Proven at scale with 100+ Fortune 500 customers

Cons

  • More complex than dedicated vector databases for pure vector search use cases
  • Pricing not transparently published
  • May have higher learning curve for teams unfamiliar with distributed SQL
  • Recent acquisition may lead to product changes

Milvus or SingleStore — which should you choose?

Choose Milvus if you want

  • Billion-vector similarity search
  • Large-scale recommendation systems
  • Image and video retrieval
  • Genomics and scientific computing
  • Enterprise-scale RAG systems

Choose SingleStore if you want

Data not available

Compare Milvus and SingleStore on your own traffic

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Frequently Asked Questions

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