Milvus

Open-source vector database for scalable, high-performance similarity search

Venture Funded$58MSeries BZhenFundHillhouse CapitalMatrix Partners China

vector searchsimilarity searchAI infrastructurescalable database

About

Milvus is an open-source vector database designed for enterprise-scale similarity search and AI applications. It supports massive data volumes with high availability and compliance-ready deployments, enabling secure and scalable vector-based search solutions. Milvus is trusted for its performance, flexibility, and integration capabilities across industries.

This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.

Enterprise Readiness

from cataloged data

Not scored. Nobody has checked this entry against Milvus’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid, Self-Hosted

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2019 · Series B

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Enterprise Use Cases

Recommendation engines

Image and video similarity search

Natural language processing embeddings search

Fraud detection via pattern matching

Anomaly detection in IoT data

Personalized content delivery

Integrations

Apache SparkTensorFlowPyTorchKubernetesPrometheusGrafanaElasticsearchKafka

How Milvus compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Milvus	Not scored	Open Source	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Zilliz	Not scored	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	7
Elasticsearch Vector	67 · Strong	Enterprise	Cloud, On-Premise, Hybrid	—	8
Qdrant	Not scored	Freemium	Cloud, On-Premise, Self-Hosted	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Milvus used for?

Milvus is open-source vector database for scalable, high-performance similarity search. It is commonly used for recommendation engines, image and video similarity search, natural language processing embeddings search, and fraud detection via pattern matching.

Is Milvus free, and how is it priced?

Milvus is open source and can be self-hosted at no licensing cost. Commercial support or hosted tiers may also be available from the vendor.

How can Milvus be deployed?

Milvus supports Cloud, On-Premise, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Milvus integrate with?

Milvus documents 8 integrations, including Apache Spark, TensorFlow, PyTorch, Kubernetes, Prometheus, and Grafana.

When was Milvus founded?

Milvus was founded in 2019 and has raised $58M in funding.

Is Milvus enterprise-ready?

Based on cataloged data, Milvus has an Enterprise Readiness score of 69/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingOpen Source

DeploymentCloud, On-Premise, Hybrid, Self-Hosted

Founded2019

Funding$58M

CategoryData & MLOps

Procurement

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