Small business▲+2Since September 2026: 4% → 6%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
6%from 4% in September 2026
Inside the floor by 9 pointsRank 4 of 29, unchanged
1 category · RankedWeaviate
204Judge labels
10First choices
28Negative 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
7% in Vector databases for enterprise buyers
Rank 5 of 44 in the mid-market standingaccepted challenger
2 of 14 models made it the first choice on the direct prompt; 10% of its 67 labels there were negative.
What the models named instead of Weaviate →By buyer segmentRead the same way at every buyer size.
Small business4 of 36
5%66 labels
accepted challenger
Mid-market5 of 44
5%67 labels
accepted challenger
Enterprise4 of 45
7%71 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 Weaviate 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 | 5% | 5 of 44 | 10% | 67 | accepted challenger | =heldSince September 2026: 6% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Weaviate held within the floor in its one category: no change cleared 11 points.
Best category · Vector databases · by segment
Mid-market=heldSince September 2026: 6% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
5%from 6% in September 2026
Inside the floor by 11 pointsRank 4 → 5 of 35
Enterprise▼−3Since September 2026: 9% → 6%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
6%from 9% in September 2026
Inside the floor by 8 pointsRank 4 → 5 of 44
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Vector databases | 6% | 5% | =heldSince September 2026: 6% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 5 of 44 |
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 Weaviate 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 Weaviate 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 | 2 | 2 | 1 | 0 | 5 |
| GPT-5.4 mini | 1 | 3 | 0 | 1 | 5 |
| Gemini 3.5 Flash | 0 | 3 | 1 | 1 | 5 |
| Perplexity Sonar | 0 | 2 | 1 | 0 | 3 |
| Grok 4.20 | 0 | 4 | 1 | 1 | 6 |
| Mistral Small | 0 | 2 | 2 | 1 | 5 |
| DeepSeek V4 Flash | 0 | 6 | 0 | 0 | 6 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 5 | 0 | 1 | 6 |
| Kimi K2 | 0 | 4 | 2 | 0 | 6 |
| GLM 4.7 FlashX | 1 | 2 | 1 | 0 | 4 |
| MiniMax M2.5 | 0 | 4 | 0 | 0 | 4 |
| GPT-6 Luna | 0 | 3 | 1 | 1 | 5 |
| Muse Glimmer 30B | 0 | 4 | 0 | 1 | 5 |
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
Direct34 labels2
Paraphrase37 labels2
Comparative42 labels1not counted in share
Budget-constrained28 labels4
Scale-constrained31 labels2
Negative32 labelsNone
First choiceAlternativeMentionNegative204 labels in all, every segment counted; 10 of the 11 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.
“I'd recommend either Pinecone ... or Weaviate (if you want flexibility and cost control)” Claude Haiku 4.5 · Vector databases · direct prompt · first choice
“I'd suggest beginning with Weaviate or pgvector if you're already invested in PostgreSQL” Claude Haiku 4.5 · Vector databases · paraphrase prompt · first choice
“Weaviate (open‑source + managed cloud, built‑in multimodal & GraphQL APIs)” GLM 4.7 FlashX · Vector databases · direct prompt · first choice
“Best open-source all-rounder: Weaviate” GPT-5.4 mini · Vector databases · comparative prompt · first choice
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.
“Weaviate's own security checklist says self-managed deployments allow anonymous queries by default unless you configure auth. That's fine for local dev, but risky for production.” GPT-5.4 mini · Vector databases · negative prompt · soft negative
“Weaviate Cloud if your costs need to be especially simple and predictable: Pricing can depend on vector dimensions...” GPT-6 Luna · Vector databases · negative prompt · soft negative
“*Proprietary (e.g., Pinecone, Weaviate Cloud):* Easier to start, harder to leave later (vendor lock-in).” Qwen 3.7 Flash · Vector databases · scale prompt · soft negative
“significantly less expensive than managed services like Pinecone or Weaviate” Mistral Small · Vector databases · budget prompt · soft negative
Named alongside
The products named in the same answers as Weaviate, over the 203 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Weaviate was named but was not.ShowHide
Named alongside
The products named in the same answers as Weaviate, over the 203 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Weaviate 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 Weaviate. 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 187 of the 203 answers that named Weaviate and are not a share of its labels.
Domains cited
dev.to90
iternal.ai83
atlan.com74
marktechpost.com59
g2.com57
pecollective.com53
firecrawl.dev51
cognee.ai48
encore.dev38
groovyweb.co35
588 of the 588 domain citations in answers naming Weaviate came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
weaviate.io is not in Google's top ten for any of the category's searches. In the answers, Weaviate takes 5% of first choices and pgvector takes 35%.ShowHide
Search and answers
weaviate.io is not in Google's top ten for any of the category's searches. In the answers, Weaviate takes 5% 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
- 2,900 a month (“weaviate”)
- AI search demand for its name, est.
- 54 a month
- Organic visits to its site
- about 5,054 a month
- Searches its site ranks for
- 1,513 · 83 in the top three
- Sites linking to it
- 6,015
- 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
5%
rank 5 of 44 in vector databases
Segment leader
35%
pgvector
- First choices
- 10 across its categories
- Named in
- 203 answers
- Its own site cited
- in 187 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 weaviate.io
1,242
subdomains included
Content
581
counted in the table below
Documentation
372
Product · Integration
13 · 52
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 220 | 10 | 2026-09-22 | ||
| Glossary or explainer | 176 | 0 | 2024-11-05 | ||
| News or press | 117 | 0 | 2026-06-18 | ||
| Report or ebook | 34 | 0 | 2025-01-30 | ||
| Case study | 14 | undated | |||
| Conference or event | 10 | 0 | 2025-06-19 | ||
| Comparison | 4 | 0 | 2025-05-08 | ||
| Template or tool | 3 | undated | |||
| Podcast or video | 2 | 0 | 2023-11-09 | ||
| Webinar or virtual event | 1 | undated |
Most recent
- 2026-09-22Engram memory practical guide blog
- 2026-09-174 bit rotational quantization blog
- 2026-09-09Hfresh blog
- 2026-09-08Building foundry creative search blog
- 2026-09-01Charts tables pdfs blog
- 2026-08-27Weaviate 1 39 release blog
How it is countedHide how it is counted
Every page weaviate.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 Weaviate
What the judge wrote, as written, with how often. The vendor table decides that these count as Weaviate; a claim can dispute any of them.
Weaviate Cloud 4
Follow Weaviate
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
Weaviate is its own company.ShowHide
The company
Weaviate is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- An open-source, AI-native vector database for building search, retrieval-augmented generation, and agentic applications.
- For
- developers
- Price stated
- Free tier; Usage based pricing; Enterprise options; Support weaviate.io
- Starting price
- 0 weaviate.io/pricing
- Free plan or trial
- Free tier weaviate.io
- Certifications
- SOC 2HIPAASOC 2 Type IIHIPAA compliant
- Hosting
- Limited (2)Limited (7)All (~40)
- Customers named
- LotiDocsBotFinsterMarvelXInstabaseCedienceMetaBuddyKapa
- Not stated on the pages read
- Integrations
What Weaviate's own pages state, read September 28, 2026: weaviate.io, weaviate.io/pricing, weaviate.io/security, weaviate.io/platform, weaviate.io/case-studies. 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 Weaviate'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 Weaviate, 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 Weaviate by email, built from the raw record of the edition. It shows:
- where Weaviate 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 Weaviate, 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.