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Market/Categories/Developer & AI Platform/Milvus

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Milvusmilvus.io

Milvus is an open-source vector database designed for GenAI applications. It offers high-speed searches and scales to billions of vectors with minimal performance loss.

Developer & AI Platformmilvus.ioTracked since 2026-08-211 discovery source
482.1KBacklinks
5.9KReferring domains
48Domain authority
+6.8%Referring domains · 90 days

Authority & distribution

How strong is Milvus’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

482.1KCurrent snapshot

Referring domains

5.9KCurrent snapshot

Authority

48Domain authority · category median 22

90-day move

+6.8%Referring domains, last 90 days
At 48, Milvus sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Milvus ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Milvus traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Milvus is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Milvus”

Milvus is an open-source vector database designed for GenAI applications. It offers high-speed searches and scales to billions of vectors with minimal performance loss.

Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://milvus.io

Observed across 1 discovery source.

Research questions

What the evidence answers about Milvus.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What features, deployment options, or integrations does Milvus offer?

Milvus offers multiple deployment options: Milvus Lite for learning/prototyping, Milvus Standalone for production with up to millions of vectors, and Milvus Distributed for enterprise-scale handling of billions of vectors. It integrates with AI development tools and provides notebooks for building applications like RAG and image search.

What is Milvus and what problem does it solve?

Milvus is an open-source vector database built for GenAI applications. It provides high-speed similarity searches and scales to handle billions of vectors with minimal performance loss, which is a core requirement for building scalable AI systems.

What is Milvus used for and in what situations?

Milvus is used for building generative AI applications, particularly those requiring high-speed vector search. Situations include developing image retrieval systems, similarity search on massive datasets of high-dimensional vectors, and powering RAG and multimodal search applications.

Who is Milvus designed for?

Milvus is designed for developers and data scientists building GenAI applications. It is a core tool for developers who need to install and use vector database infrastructure for AI application development.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Milvus intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 4 of them do it, and the 15 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured