IT AI Index

Index › Vendors › MongoDB Atlas · September 2026 Edition

MongoDB · 1 category · Named, not ranked

MongoDB Atlas

4Judge labels

0First choices

1Negative labels

4 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. MongoDB Atlas was named 2 times in Managed databases, where Amazon RDS led with 32%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business41 of 63

under the label threshold

Mid-market44 of 73

under the label threshold

Enterprise68 of 78

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
Managed relational databases	Data platform	0%	44 of 73	0%	2	under 10 labels · led by Amazon RDS at 32%

Movement

This is the first edition on this tier, so no move can be computed for MongoDB Atlas yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated MongoDB Atlas across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Mention	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	1	1
DeepSeek V4 Flash	1	1
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	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

Paraphrase0 labelsNone

Comparative2 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative2 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.

No model argued against it.

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.

ProductSame answerTook the first choice insteadHead to head

Amazon RDS2 of 41Not in the top three

Amazon Aurora1 of 41Not in the top three

MariaDB1 of 41Not in the top three

MySQL1 of 41Not in the top three

Amazon DocumentDB1 of 40Not in the top three

Amazon DynamoDB1 of 40Not in the top three

ArangoDB1 of 40Not in the top three

Azure Cosmos DB1 of 40Not in the top three

Azure Database for PostgreSQL/MySQL1 of 40Not in the top three

Azure SQL Database1 of 40Not in the top three

A head-to-head page exists where both products are in a category's top three. 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, four of the twelve 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

aws.amazon.com2

enterprisedb.com2

infoq.com2

learn.microsoft.com2

percona.com2

techwell.com2

toolradar.com2

advisionit.cloud1

algoroq.io1

auxiliar.ai1

Seventeen of the seventeen domain citations in answers naming MongoDB Atlas came from somebody else's page.

Pages cited

aws.amazon.com/rds2

enterprisedb.com/blog/managed-database-services-pros-and-cons2

infoq.com/articles/managed-relational-databases-costs2

percona.com/blog/managed-database-vs-kubernetes-taking-back-control-of-your-cloud-costs-an2

techwell.com/techwell-insights/2020/01/limitations-managed-cloud-database-service2

toolradar.com/best/managed-databases2

advisionit.cloud/aws-cloud-databases-rds-aurora-dynamodb-documentdb1

algoroq.io/compare-tech/rds-vs-cloud-sql-vs-azure-sql1

Pages are listed as the models cited 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.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at mongodb.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.