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IT AI Index
Index › Products › MongoDB · October 2026 Edition
4 categories · Ranked

MongoDB

254Judge labels
114First choices
51Negative labels
14 / 14Models named it
4Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
74% in NoSQL for mid-market buyers
Rank 1 of 73 in the mid-market standingendorsed leader
14 of 14 models made it the first choice on the direct prompt; 13% of its 82 labels there were negative.
What the models named instead of MongoDB →
By buyer segmentStrongest at mid-market.
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 rateLabelsQuadrantSince September 2026
NoSQL databasesData platform74%1 of 7313%82endorsed leader▲+14Since September 2026: 59% → 73%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.
Time series databasesData platform0%36 of 6650%2under 10 labels · led by TimescaleDB at 63%
Streaming platformsData platform0%92 of 98100%1under 10 labels · led by Confluent Cloud at 39%newNew since September 2026: not ranked then, 0% now.
Telemetry pipelinesIT operations and endpoint0%118 of 124100%1under 10 labels · led by OpenTelemetry Collector at 37%

Movement

Since September 2026, MongoDB moved past the floor in one of four categories: NoSQL, +14 points to 73%. It held within the floor in the other three.

Best category · NoSQL · by segment

Small business▼−11Since September 2026: 77% → 66%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.
66%from 77% in September 2026
Cleared the floor by 0 pointsRank 1 of 59, unchanged
Mid-market▲+14Since September 2026: 59% → 73%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.
73%from 59% in September 2026
Cleared the floor by 3 pointsRank 1 of 69, unchanged
Enterprise=heldSince September 2026: 53% → 53%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
53%from 53% in September 2026
Inside the floor by 11 pointsRank 1 of 53, unchanged

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
NoSQL59%73%▲+14Since September 2026: 59% → 73%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.Moved past the floorRank 1 of 73, unchanged
Time series DBs0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 36 of 66, unchanged
Streaming0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 92 of 98, unchanged
Telemetry pipelines0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 118 of 124, unchanged

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 across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.531206
GPT-5.4 mini30115
Gemini 3.5 Flash32139
Perplexity Sonar40004
Grok 4.2031217
Mistral Small40217
DeepSeek V4 Flash50016
Llama 4 Maverick11103
Qwen 3.7 Flash40239
Kimi K240015
GLM 4.7 FlashX30216
MiniMax M2.540105
GPT-6 Luna32117
Muse Glimmer 30B24017

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
Direct41 labels38
Paraphrase46 labels38
Comparative40 labels24not counted in share
Budget-constrained44 labels25
Scale-constrained32 labels13
Negative51 labels3not counted in share
First choiceAlternativeMentionNegative254 labels in all, every segment counted; 114 of the 141 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.

“If you need a quick start with flexible JSON documents and strong consistency: MongoDB Community Edition self-hosted, or Atlas Free/Flex for a managed free tier.” Muse Glimmer 30B · NoSQL · budget prompt · first choice
“Often the default choice for B2B applications... For most mid-market B2B companies without extreme scale requirements, MongoDB ... are safe bets.” Claude Haiku 4.5 · NoSQL · direct prompt · first choice
“MongoDB Community Edition is often considered the most popular choice for budget-conscious companies due to its balance of features and ease of use.” Claude Haiku 4.5 · NoSQL · budget prompt · first choice
“If you need a general-purpose NoSQL database, MongoDB Community Edition is a good budget default when your team can manage hosting” GPT-6 Luna · NoSQL · budget 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.

“Avoid: Ingesting high-volume time-series data into general-purpose document stores like MongoDB solely because it accepts JSON easily.” Qwen 3.7 Flash · Telemetry pipelines · negative prompt · hard negative
“MongoDB's Change Streams to act as an event pipeline ... databases are not optimized for this pattern” Gemini 3.5 Flash · Streaming · negative prompt · hard negative
“MongoDB's own docs warn that sharded clusters require careful planning and that poor shard-key choice can hurt scalability and performance.” GPT-5.4 mini · NoSQL · negative prompt · soft negative
“The most popular document database and production-ready, but with a long history of internet-exposed instances and NoSQL injection risk.” Muse Glimmer 30B · NoSQL · negative prompt · soft negative

Named alongside

The products named in the same answers as MongoDB, over the 236 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.
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ProductSame answerTook the first choice insteadHead to head
Redis143 of 2361Compare →
Apache Cassandra132 of 2361Not among the top eight
Azure Cosmos DB69 of 2363Not among the top eight
Neo4j57 of 2360Not among the top eight
Apache CouchDB32 of 2360Not among the top eight
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. 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 192 of the 236 answers that named MongoDB and are not a share of its labels.

Domains cited

mongodb.comYour site77
guideflow.com71
thectoclub.com65
aerospike.com55
us.fitgap.com53
aws.amazon.com48
g2.com47
sourceforge.net46
couchbase.com45
peerspot.com40

470 of the 547 domain citations in answers naming MongoDB came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where MongoDB stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Position for “nosql database”
2
Position for “nosql databases”
1
Searches for its name, Google
74,000 a month (“mongodb”)
AI search demand for its name, est.
9,630 a month
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)
Ads on GoogleDetailLess
120+ ads · 106 text, 12 image, 2 video · 120 shown in the last 30 days

First shown December 2021, as MongoDB, Inc., verified. Ads started 2025-10 to 2026-09: 46 in the year, 74 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
74%
rank 1 of 73 in nosql
First choices
114
across its categories
Named in
236 answers
Its own site cited
in 192 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
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

Last twelve months

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.

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 22MongoDB Community Edition 9MongoDB Enterprise Advanced 2MongoDB (Atlas for managed cloud) 1

Follow MongoDB

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 its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
The World’s Leading Modern Data Platform
For
builders, enterprises, startups and AI innovators
Price stated
Pricing mongodb.com
Starting price
0 mongodb.com/pricing
Free plan or trial
Get started for free in minutes mongodb.com
Integrations claimed
100 mongodb.com
Certifications
MongoDB certificationsISO 27001:2022ISO 27017ISO 27018ISO 9001SOC 2 Type IICSAPCI
Hosting
AWSAzureGoogle Cloudon-premisesin the cloudat the edge
Customers named
Victoria’s SecretForbesTemenosToyota

What MongoDB's own pages state, read September 28, 2026: mongodb.com, mongodb.com/pricing, trust.mongodb.com, mongodb.com/products/tools, mongodb.com/company/partners. 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'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.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for MongoDB by email, built from the raw record of the edition. It shows:

  • where MongoDB 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, 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.
The subscriber app

A verification link goes to your work email; an address at mongodb.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.

Badges

Wins only: a badge exists where MongoDB is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHide

Every AI model in the set recommends MongoDB first in NoSQL databases this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges
Every AI model's first choice in NoSQL databases, October 2026 Edition, IT AI Recommendation Index
Show the code
<a href="https://it-ai-index.com/it-data/nosql-databases/"><img src="https://it-ai-index.com/badges/2026-10/mongodb--nosql-databases-wide.svg" alt="Every AI model's first choice in NoSQL databases, October 2026 Edition, IT AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the NoSQL databases standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
Every AI model's first choice in NoSQL databases, October 2026 Edition, IT AI Recommendation Index
Show the code
<a href="https://it-ai-index.com/it-data/nosql-databases/"><img src="https://it-ai-index.com/badges/2026-10/mongodb--nosql-databases-square.svg" alt="Every AI model's first choice in NoSQL databases, October 2026 Edition, IT AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the NoSQL databases standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
Every AI model's first choice in NoSQL databases, October 2026 Edition, IT AI Recommendation Index
Show the code
<a href="https://it-ai-index.com/it-data/nosql-databases/"><img src="https://it-ai-index.com/badges/2026-10/mongodb--nosql-databases-compact.svg" alt="Every AI model's first choice in NoSQL databases, October 2026 Edition, IT AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the NoSQL databases standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.