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Vector DBZilliz

Milvus

Distributed vector database built for billion-scale search.

Category
Vector DB
Pricing
FREEMIUM
Source
Open core
Hosting
Hybrid
Platforms
API
Models
Model-agnostic
Verified
Jun 7, 2026

Cloud-native, Apache-2.0 vector database for similarity search at scale, powering RAG, semantic and multimodal search, and recommendations. Its distributed architecture separates storage and compute and supports many index types (HNSW, IVF, FLAT, DiskANN, SCANN) with quantization and mmap. Created by Zilliz, which offers the managed Zilliz Cloud.

Capabilities 4

What it actually does — grouped by capability family.

  • Vector search (primary capability)
  • Unified search (secondary capability)
  • RAG pipeline (secondary capability)
  • Recommendation engine (secondary capability)

Pros & cons

  • 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

Tags

View all Vector DB
  • View Qdrant details
    Vector DBFREEMIUMOpen core

    Qdrant

    Qdrant

    Open-source, Rust-based vector DB. Fast, predictable, self-hostable.

    Vector database written in Rust with a strong focus on filtering, payloads, and predictable latency at scale. Self-host on a single binary or use the managed cloud.

    Open source, written in Rust
    More ops than fully-managed rivals
    • open-source
    • rust
    • self-hosted
    • fast
  • View Weaviate details
    Vector DBFREEMIUMOpen core

    Weaviate

    Weaviate

    Open-source vector database with built-in vectorisers.

    Cloud-native vector DB that can compute embeddings inline — pass raw text in, store vectors out. Strong hybrid (BM25 + vector) search; self-hostable or managed.

    Hybrid BM25 + vector search
    Resource-heavy at large scale
    • open-source
    • self-hosted
    • hybrid-search
    • rag
  • View Pinecone details
    Vector DBFREEMIUM

    Pinecone

    Pinecone

    Fully-managed serverless vector database for RAG and semantic search.

    Fully-managed vector DB built for production RAG and semantic search at scale. Serverless pricing, low-latency reads, and integrations across every major framework, with no infrastructure to provision or operate.

    No infra to provision or operate
    No self-host option
    • managed
    • serverless
    • rag
    • semantic-search
  • View Chroma details
    Vector DBFREEMIUMOpen core

    Chroma

    Chroma

    Embedded vector DB. Pip-install, prototype, scale later.

    The low-friction starting point — Chroma runs embedded inside your Python process or as a hosted service. Great for prototypes and small-to-medium RAG apps; upgrade to a managed option when you outgrow it.

    Pip-install, embedded in-process
    Not built for massive scale
    • open-source
    • embedded
    • prototype
    • python