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 35 → 48 of 70
MongoDB · 1 category · Named, not rankedMongoDB Atlas
4Judge labels
0First choices
1Negative labels
4 / 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.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. MongoDB Atlas was named 1 time in Managed databases, where Amazon RDS led with 45%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business50 of 74
0%1 label
under the label threshold
Mid-market78 of 82
0%1 label
under the label threshold
Enterprise27 of 92
0%2 labels
under the label threshold
In managed 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 MongoDB Atlas 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 |
|---|---|---|---|---|---|---|---|
| Managed relational databases | Data platform | 0% | 78 of 82 | 100% | 1 | under 10 labels · led by Amazon RDS at 45% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, MongoDB Atlas held within the floor in its one category: no change cleared 11 points.
Best category · Managed databases · by segment
Mid-market=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 40 → 69 of 72
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 62 → 33 of 81
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Managed databases | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 40 → 78 of 82 |
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 MongoDB Atlas 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 MongoDB Atlas 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 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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
Direct0 labelsNone
Paraphrase1 labelNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative4 labels in all, every segment counted; 0 of the 0 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.
No positive label carried a quote.
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.
“Consider this a "trap" license that can complicate your legal position if you need to move away from their managed service” GLM 4.7 FlashX · Managed databases · negative prompt · hard negative
Named alongside
The products named in the same answers as MongoDB Atlas, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MongoDB Atlas was named but was not.ShowHide
Named alongside
The products named in the same answers as MongoDB Atlas, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MongoDB Atlas 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 MongoDB Atlas. 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 4 of the 4 answers that named MongoDB Atlas and are not a share of its labels.
Domains cited
cloudinsight.cc2
fortifieddata.com2
g2.com2
it-ai-index.com2
peerspot.com2
tech-insider.org2
accutivesecurity.com1
ap7i.com1
apmdigest.com1
automaticnation.com1
Sixteen of the sixteen domain citations in answers naming MongoDB Atlas came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
mongodb.com is not in Google's top ten for any of the category's searches. In the answers, MongoDB Atlas takes 0% of first choices and Amazon RDS takes 45%.ShowHide
Search and answers
mongodb.com is not in Google's top ten for any of the category's searches. In the answers, MongoDB Atlas takes 0% of first choices and Amazon RDS takes 45%.
ShowHideIn search
Google, US estimatesPosition for “managed relational database service”
–
not in the top ten
Position for “managed relational database services”
–
not in the top ten
- Its company's site
- mongodb.com shared with MongoDB's other products; the figures are the site's
- Organic visits to its site
- about 342,632 a month
- Searches its site ranks for
- 46,940 · 4,155 in the top three
- Sites linking to it
- 45,167
- Paid Google search
- 20 searches its ads show for, about 365 clicks and $8,625 a month (estimate)
In answers
This editionShare of first choices
0%
rank 78 of 82 in managed databases
Segment leader
45%
Amazon RDS
- First choices
- 0 across its categories
- Named in
- 4 answers
- Its own site cited
- in 4 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.
Follow MongoDB Atlas
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
MongoDB is the company behind MongoDB Atlas.ShowHide
The company
MongoDB is the company behind MongoDB Atlas.
ShowHideOn record
Company records- Also from MongoDB
- MongoDB Atlas Vector, MongoDB Atlas Vector Search
In its own words
Stated by the vendor, not checked- Positioning
- the fully managed cloud database service that simplifies deploying, scaling, & securing your data
- For
- engineering teams
- Price stated
- Free Account mongodb.com/cloud/atlas/register
- Starting price
- 0 mongodb.com/products/platform/atlas-charts
- Free plan or trial
- free MongoDB Atlas account mongodb.com/cloud/atlas/register
- Certifications
- over 15 compliance standards
- Hosting
- over 125+ regionsAWSAzureGoogle Cloud
- Customers named
- Element451Delivery HeroFishbowlOrbweaverMeltwaterBoxedCiscoShutterfly
- Not stated on the pages read
- Integrations
What MongoDB Atlas's own pages state, read October 6, 2026: mongodb.com/cloud/atlas/register, mongodb.com/products/platform/atlas-search, mongodb.com/products/platform/atlas-charts, mongodb.com/products/platform/atlas-database, mongodb.com/products/platform/atlas-data-federation. 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 MongoDB Atlas'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 MongoDB Atlas, 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 MongoDB Atlas by email, built from the raw record of the edition. It shows:
- where MongoDB Atlas 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 MongoDB Atlas, 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.