Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 25 → 29 of 29
1 category · RankedMilvus
140Judge labels
7First choices
43Negative labels
14 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
9% in Vector databases for enterprise buyers
Rank 6 of 44 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 20% of its 41 labels there were negative.
What the models named instead of Milvus →By buyer segmentRead the same way at every buyer size.
Small business36 of 36
0%42 labels
criticized challenger
Mid-market6 of 44
3%41 labels
accepted challenger
Enterprise3 of 45
9%57 labels
accepted challenger
In vector databases · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Milvus for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Vector databases | Data platform | 3% | 6 of 44 | 20% | 41 | accepted challenger | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Milvus held within the floor in its one category: no change cleared 11 points.
Best category · Vector databases · by segment
Mid-market▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 2% in September 2026
Inside the floor by 9 pointsRank 6 of 35, unchanged
Enterprise▲+11Since September 2026: 0% → 11%, +11 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
11%from 0% in September 2026
Inside the floor by 0 pointsRank 7 → 3 of 44
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Vector databases | 2% | 4% | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 6 of 44, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Milvus across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Milvus across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 2 | 1 | 5 |
| GPT-5.4 mini | 0 | 1 | 1 | 1 | 3 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 2 | 4 |
| Perplexity Sonar | 0 | 2 | 1 | 0 | 3 |
| Grok 4.20 | 0 | 2 | 0 | 1 | 3 |
| Mistral Small | 0 | 2 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 3 | 0 | 1 | 4 |
| Llama 4 Maverick | 1 | 0 | 2 | 0 | 3 |
| Qwen 3.7 Flash | 1 | 1 | 1 | 0 | 3 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 2 | 0 | 2 |
| MiniMax M2.5 | 0 | 2 | 0 | 0 | 2 |
| GPT-6 Luna | 0 | 1 | 0 | 1 | 2 |
| Muse Glimmer 30B | 0 | 0 | 1 | 1 | 2 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct16 labels1
Paraphrase17 labels1
Comparative24 labels1not counted in share
Budget-constrained25 labels5
Scale-constrained26 labelsNone
Negative32 labelsNone
First choiceAlternativeMentionNegative140 labels in all, every segment counted; 7 of the 8 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“likely to be an open-source option such as Milvus or Chroma, as they offer free or low-cost options” Llama 4 Maverick · Vector databases · budget prompt · first choice
“I'd recommend starting with either self-hosted Milvus/Qdrant (if you have DevOps capacity)” Claude Haiku 4.5 · Vector databases · budget prompt · first choice
“Massive Scale / Billions of vectors | Milvus” Qwen 3.7 Flash · Vector databases · comparative prompt · first choice
“Choose Milvus if you need extreme scale (billions of vectors), GPU acceleration, or extensive index flexibility.” DeepSeek V4 Flash · Vector databases · comparative prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“heavy self-hosted systems like Milvus (requires Kubernetes know-how) ... neither is friendly to a limited budget” DeepSeek V4 Flash · Vector databases · budget prompt · hard negative
“Caution: If you run Milvus self-hosted, you must be on 2.4.24+, 2.5.21+ or 2.6.5+ and strip `sourceID` at the gateway” Muse Glimmer 30B · Vector databases · negative prompt · soft negative
“handles billions of vectors at lower cost; requires engineering resources... more resource-intensive to operate” Claude Haiku 4.5 · Vector databases · comparative prompt · soft negative
“it is incredibly memory-efficient compared to Java-based alternatives like Milvus” Gemini 3.5 Flash · Vector databases · budget prompt · soft negative
Named alongside
The products named in the same answers as Milvus, over the 140 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Milvus was named but was not.ShowHide
Named alongside
The products named in the same answers as Milvus, over the 140 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Milvus was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Milvus. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 127 of the 140 answers that named Milvus and are not a share of its labels.
Domains cited
dev.to50
iternal.ai49
atlan.com48
marktechpost.com44
g2.com41
pecollective.com37
cognee.ai32
firecrawl.dev31
actian.com30
encore.dev29
391 of the 391 domain citations in answers naming Milvus came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
milvus.io is not in Google's top ten for any of the category's searches. In the answers, Milvus takes 3% of first choices and pgvector takes 35%.ShowHide
Search and answers
milvus.io is not in Google's top ten for any of the category's searches. In the answers, Milvus takes 3% of first choices and pgvector takes 35%.
ShowHideIn search
Google, US estimatesPosition for “vector database”
–
not in the top ten
Position for “vector databases”
–
not in the top ten
- Searches for its name, Google
- 3,600 a month (“milvus”)
- AI search demand for its name, est.
- 169 a month
- Organic visits to its site
- about 52,360 a month
- Searches its site ranks for
- 5,974 · 324 in the top three
- Sites linking to it
- 5,997
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
3%
rank 6 of 44 in vector databases
Segment leader
35%
pgvector
- First choices
- 7 across its categories
- Named in
- 140 answers
- Its own site cited
- in 127 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on milvus.io
18,609
subdomains included
Content
2,669
counted in the table below
Documentation
6,544
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Glossary or explainer | 1,968 | undated | ETL, Vector databases | ||
| Blog | 571 | undated | Vector databases, Object storage | ||
| Comparison | 95 | undated | Vector databases | ||
| News or press | 12 | undated | |||
| Template or tool | 8 | undated | |||
| Conference or event | 7 | undated | |||
| Webinar or virtual event | 4 | undated | |||
| Report or ebook | 3 | undated | |||
| Case study | 1 | undated |
How it is countedHide how it is counted
Every page milvus.io exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Names read as Milvus
What the judge wrote, as written, with how often. The vendor table decides that these count as Milvus; a claim can dispute any of them.
Milvus (Zilliz Cloud) 1Milvus (by Zilliz) 1
Follow Milvus
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Milvus is its own company.ShowHide
The company
Milvus is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- The High-Performance Vector Database Built for Scale; an open-source vector database built for GenAI applications, enabling fast and scalable similarity search over billions of vectors.
- For
- GenAI applications; developers
- Price stated
- $0 milvus.io
- Starting price
- 0 milvus.io
- Free plan or trial
- Try Free milvus.io
- Integrations claimed
- 8 milvus.io
- Not stated on the pages read
- Certifications, hosting, customers
What Milvus's own pages state, read September 28, 2026: milvus.io. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Milvus's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Milvus, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Milvus by email, built from the raw record of the edition. It shows:
- where Milvus is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Milvus, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.