Index › IT › Products › MongoDB · November 2026 Edition
3 categories · Ranked

MongoDB

MongoDB is a data platform and NoSQL document database that stores data in flexible JSON/BSON schemas · mongodb.com ↗

#1Best rank (small business)
14/14Models named it
117First choices
39Warnings
November 2026 Edition · all company sizes counted.
Ranked inNoSQL databases #1 small businessManaged relational databases #35Time series databases #40
What AI models recommend in nosql

Leads at small business. Ranked 1 of 55 for enterprise buyers.

The standing depends on who is buying. Every model is asked the same questions for each company size.

Why models recommend it

“MongoDB Atlas is the default first choice for mid-market B2B because of flexible document model, strong developer experience and multi-cloud portability.”Muse Glimmer 30B · Direct question · first choice
“MongoDB remains one of the most popular document-based NoSQL databases, offering scalability, flexibility, and strong indexing capabilities.”Muse Glimmer 30B · Comparative question · first choice
“MongoDB Atlas is a strong default for mid-sized B2B use cases such as CRM pipelines, customer profiles, product catalogs and content feeds”Muse Glimmer 30B · Paraphrase question · first choice
“MongoDB or AWS DynamoDB are strong starting points because they offer maturity, good scaling options, and strong B2B adoption”Claude Haiku 4.5 · Direct question · first choice

What gives them pause

“Avoid MongoDB if you need multi-document ACID transactions”MiniMax M2.5 · Negative question · warning
“MongoDB: Do not casually trust deployment defaults... choose read and write concerns deliberately, define schemas in application code”Perplexity Sonar · Negative question · warning
“over managed cloud services like MongoDB Atlas, DynamoDB, or Cosmos DB — the latter can incur unexpected costs”Grok 4.20 · Budget-constrained question · warning
“MongoDB switched to the Server Side Public License (SSPL)... Many developers prefer MariaDB or PostgreSQL”Qwen 3.7 Flash · Negative question · warning

Also on the shortlist

The products named in the same answers as MongoDB, over the 243 answers that named it, and how often each was the first choice instead.

What the models named instead of MongoDB →

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on MongoDB's own site, not checked by Gane.

For
builders, enterprises, startups and AI innovators
Price stated
Pricing
Starting price
0
Free plan or trial
Get started for free in minutes
Integrations
100
Certifications
ISO 27001, ISO 27017, ISO 27018, ISO 9001, SOC 2 Type II, PCI DSS
Hosting
AWS, Azure, Google Cloud, on-premises, in the cloud, at the edge
Customers named
Victoria’s Secret, Forbes, Temenos, Toyota
Visit mongodb.com ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named MongoDB came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 177 of the 243 answers that named MongoDB and are not a share of its labels.

Domains cited

mongodb.comIts own site61
aws.amazon.com56
gane.ai/indexpublisher (Gane)55
aerospike.com52
g2.com48
github.com48
docs.aws.amazon.com43
couchbase.com41
capterra.com30
guideflow.com28

346 of the 462 domain citations in answers naming MongoDB came from a third party's page. Fifty-five were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on MongoDB across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.530306
GPT-5.4 mini30205
Gemini 3.5 Flash43007
Perplexity Sonar40015
Grok 4.2031127
Mistral Small31116
DeepSeek V4 Flash40217
Llama 4 Maverick21104
Qwen 3.7 Flash42017
Kimi K261018
GLM 4.7 FlashX30306
MiniMax M2.530216
GPT-6 Luna30104
Muse Glimmer 30B31116

What it publishes

Addresses on mongodb.com
34,601
subdomains included
Content
27,319
counted in the table below
Documentation
1,158
Product · Integration
87 · 30
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Conference or event24,558582026-09-28
Blog1,653302026-09-25
News or press35842026-09-09
Webinar or virtual event325undated
Case study302undated
Glossary or explainer5122026-07-20
Comparison4112026-07-09
Template or tool18undated
Report or ebook1022026-09-23
Podcast or video302022-09-30

Most recent

Events in person

Announced as of September 28, 2026
The twelve months before September 28, 2026

As the event pages on mongodb.com state them, read September 28, 2026.

How it is countedHide how it is counted

Every page mongodb.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. 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.