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 29 → 52 of 59
1 category · RankedNeo4j
61Judge labels
0First choices
8Negative labels
13 / 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
0% in NoSQL for mid-market buyers
Rank 11 of 73 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 28 labels there were negative.
What the models named instead of Neo4j →By buyer segmentRead the same way at every buyer size.
Small business45 of 60
0%15 labels
criticized challenger
Mid-market11 of 73
0%28 labels
accepted challenger
Enterprise11 of 54
0%17 labels
accepted challenger
In nosql · 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 Neo4j 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 |
|---|---|---|---|---|---|---|---|
| NoSQL databases | Data platform | 0% | 11 of 73 | 0% | 28 | accepted challenger | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Neo4j held within the floor in its one category: no change cleared 11 points.
Best category · NoSQL · by segment
Mid-market▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 7 → 11 of 69
Enterprise=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 13 → 10 of 53
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| NoSQL | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 7 → 11 of 73 |
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 Neo4j 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 Neo4j 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 | 0 | 1 | 2 | 0 | 3 |
| GPT-5.4 mini | 0 | 0 | 2 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 0 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 2 | 0 | 3 |
| Mistral Small | 0 | 1 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 1 | 2 | 0 | 3 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 1 | 2 | 0 | 4 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 3 | 0 | 3 |
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
Direct8 labelsNone
Paraphrase0 labelsNone
Comparative21 labels1not counted in share
Budget-constrained1 labelNone
Scale-constrained16 labelsNone
Negative15 labelsNone
First choiceAlternativeMentionNegative61 labels in all, every segment counted; 0 of the 1 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.
“Graph Databases Top Example: Neo4j” Qwen 3.7 Flash · NoSQL · comparative prompt · first choice
“If your B2B product relies on organizational charts, supply chain mapping, or fraud detection graphs, Neo4j is unrivaled.” Qwen 3.7 Flash · NoSQL · direct prompt · alternative
“The leading native graph database built from the ground up to query highly interconnected networks of data.” Gemini 3.5 Flash · NoSQL · comparative prompt · alternative
“Prioritize popular, active ones: MongoDB, Redis, Cassandra, Couchbase, Neo4j” Grok 4.20 · NoSQL · negative 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.
No model argued against it.
Named alongside
The products named in the same answers as Neo4j, over the 61 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Neo4j was named but was not.ShowHide
Named alongside
The products named in the same answers as Neo4j, over the 61 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Neo4j 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 Neo4j. 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 43 of the 61 answers that named Neo4j and are not a share of its labels.
Domains cited
aerospike.com16
guideflow.com16
peerspot.com16
thectoclub.com16
instaclustr.com13
couchbase.com12
dnsstuff.com12
linkedin.com12
mongodb.com12
cio.economictimes.indiatimes.com11
136 of the 136 domain citations in answers naming Neo4j came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
neo4j.com is not in Google's top ten for any of the category's searches. In the answers, Neo4j takes 0% of first choices and MongoDB takes 74%.ShowHide
Search and answers
neo4j.com is not in Google's top ten for any of the category's searches. In the answers, Neo4j takes 0% of first choices and MongoDB takes 74%.
ShowHideIn search
Google, US estimatesPosition for “nosql database”
–
not in the top ten
Position for “nosql databases”
–
not in the top ten
- Searches for its name, Google
- 18,100 a month (“neo4j”)
- AI search demand for its name, est.
- 1,086 a month
- Organic visits to its site
- about 44,576 a month
- Searches its site ranks for
- 12,088 · 629 in the top three
- Sites linking to it
- 13,422
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 11 of 73 in nosql
Segment leader
74%
MongoDB
- First choices
- 0 across its categories
- Named in
- 61 answers
- Its own site cited
- in 43 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 neo4j.com
17,099
subdomains included
Content
5,633
counted in the table below
Documentation
10,446
Product · Integration
51 · 16
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Podcast or video | 2,723 | 0 | 2026-05-20 | ETL | |
| Blog | 1,685 | 40 | 2026-09-28 | ETL, API gateways | |
| News or press | 412 | 6 | 2026-09-22 | ||
| Conference or event | 278 | 0 | 2024-05-03 | ||
| Report or ebook | 157 | 5 | 2026-09-25 | ||
| Case study | 122 | 1 | 2026-09-03 | ||
| Comparison | 106 | 2 | 2026-09-23 | ||
| Glossary or explainer | 89 | 3 | 2026-09-16 | ||
| Webinar or virtual event | 50 | 0 | 2025-04-09 | ||
| Template or tool | 11 | 0 | 2026-06-16 |
Most recent
- 2026-09-28Enterprise knowledge layer kr blog
- 2026-09-25Production ready rag report or ebook
- 2026-09-24Who controls your intelligence analysis platform blog
- 2026-09-23Vector rag vs graphrag comparison
- 2026-09-23Graph grounded copilot recommendations microsoft fabric blog
- 2026-09-23Rescored binary vector search in neo4j search more with less memory blog
Events in person
Last twelve months
- September 17, 2026GraphSummit New YorkConvene 237 Park, New York, United States · took part
- April 14, 2026GraphSummit ParisComet Meetings - Bourse, Paris, France · took part
- March 17, 2026GraphSummit MunichDesign Offices München Macherei, Munich, Germany · took part
As the event pages on neo4j.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page neo4j.com 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. Of its titles that name a category, most name ETL (18); 1 name the category the models place it in. 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.
Follow Neo4j
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
Neo4j is its own company.ShowHide
The company
Neo4j is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- The knowledge layer that delivers accurate, explainable, and trusted AI.
- For
- security review
- Price stated
- AuraDB Free $0; AuraDB Professional From $65; AuraDB Business Critical From $146; AuraDB Virtual Dedicated Cloud Talk To Sales; Aura Graph Analytics $0.40/GB/hour neo4j.com/pricing
- Starting price
- 0 neo4j.com/pricing
- Free plan or trial
- Get started free neo4j.com
- Certifications
- GDPRSOC 2 Type IIHIPAAISO/IEC 27001:2022SOC 2 Type 2SOC 3CSA STAR Level 1CCPA
- Hosting
- AWSMicrosoft AzureGoogle Cloudover 60 global cloud regionsRegion of Choice of Customer for the use of the Neo4j Cloud Service + USABelgiumEast USUSA
- Customers named
- IntuitTransport for LondonBNP Paribas Personal FinanceBoston ScientificMerck GroupUberJupiterOneInfinitus
- Not stated on the pages read
- Integrations
What Neo4j's own pages state, read September 28, 2026: neo4j.com, neo4j.com/pricing, trust.neo4j.com, neo4j.com/product, neo4j.com/customer-stories. 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 Neo4j'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 Neo4j, 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 Neo4j by email, built from the raw record of the edition. It shows:
- where Neo4j 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 Neo4j, 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.