IT AI Index
Index Vendors › MongoDB · September 2026 Edition
1 category · Ranked

MongoDB

206Judge labels
96First choices
28Negative labels
12 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.
Best standing
77% in NoSQL for small business buyers
Rank 1 of 72 in the mid-market standingendorsed leader
10 of 12 models made it the first choice on the direct prompt; 13% of its 69 labels there were negative.
By buyer segmentStrongest at small business.
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 MongoDB 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
NoSQL databasesData platform59%1 of 7213%69endorsed leader

Movement

This is the first edition on this tier, so no move can be computed for MongoDB 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 across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.530115
GPT-5.4 mini40004
Gemini 3.5 Flash31228
Perplexity Sonar40004
Grok 4.1 Fast40116
Mistral Small31116
DeepSeek V4 Flash40116
Llama 4 Maverick01203
Qwen 3.7 Flash42017
Kimi K241016
GLM 4.7 FlashX22318
MiniMax M2.540206

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
Direct37 labels32
Paraphrase38 labels32
Comparative36 labels24not counted in share
Budget-constrained34 labels20
Scale-constrained32 labels12
Negative29 labels3not counted in share
First choiceAlternativeMentionNegative206 labels in all, every segment counted; 96 of the 123 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.

“MongoDB - If you need flexible schemas, strong query capabilities, and a mature ecosystem. Good for B2B apps with complex data relationships.” Claude Haiku 4.5 · NoSQL · paraphrase prompt · first choice
“The Best All-Rounder: MongoDB (via MongoDB Atlas) ... widely considered the safest, most flexible default choice for mid-market businesses.” Gemini 3.5 Flash · NoSQL · direct prompt · first choice
“For most small businesses, MongoDB and Redis are the easiest to start with due to their free tiers and strong community support.” Mistral Small · NoSQL · budget prompt · first choice
“For documents: Start with MongoDB Atlas. It's the most widely adopted, well-documented, and supported choice for B2B workloads” GLM 4.7 FlashX · NoSQL · paraphrase 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.

“Risk Level: High MongoDB has been the target of massive automated botnets in the past due to its default insecure settings.” GLM 4.7 FlashX · NoSQL · negative prompt · hard negative
“Frequent production stories of slow queries, memory leaks, long restarts at scale (e.g., 4TB+ clusters), shard key hotspots. Security exploits in older versions.” Grok 4.1 Fast · NoSQL · negative prompt · soft negative
“MongoDB (Be Cautious): ... the SSPL requires you to open-source your entire backend infrastructure” Gemini 3.5 Flash · NoSQL · negative prompt · soft negative
“Storage Bloat: MongoDB stores field names with every document ... It is known to be "heavy."” Qwen 3.7 Flash · NoSQL · negative prompt · soft negative

Named alongside

The products named in the same answers as MongoDB, over the 189 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MongoDB was named but was not.
ProductSame answerTook the first choice insteadHead to head
Redis131 of 1890Not in the top three
Apache Cassandra112 of 1891Not in the top three
Azure Cosmos DB66 of 1890Not in the top three
Neo4j61 of 1890Not in the top three
ScyllaDB47 of 1891Not in the top three
Google Cloud Firestore37 of 1892Not in the top three
PostgreSQL36 of 1894Not in the top three
Apache CouchDB29 of 1890Not 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. 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 131 of the 189 answers that named MongoDB and are not a share of its labels.

Domains cited

aerospike.com70
sourceforge.net55
mongodb.comYour site52
guideflow.com40
g2.com39
pingcap.com36
couchbase.com34
scylladb.com30
thectoclub.com30
infoworld.com29

363 of the 415 domain citations in answers naming MongoDB came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as MongoDB

What the judge wrote, as written, with how often. The vendor table decides that these count as MongoDB; a claim can dispute any of them.
MongoDB Atlas 17MongoDB Community Edition 5MongoDB (Atlas for managed) 1MongoDB (Atlas) 1MongoDB (via MongoDB Atlas) 1MongoDB Community Server 1MongoDB Enterprise Advanced 1
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'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, 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.