MongoDB is a data platform and NoSQL document database that stores data in flexible JSON/BSON schemas · mongodb.com ↗
The standing depends on who is buying. Every model is asked the same questions for each company size.
Ranked first. Next is Amazon DynamoDB at 8%.
Ranked first. Next is Amazon DynamoDB at 12%. 14 of 14 models made it the first choice when asked directly.
Ranked first. Next is Amazon DynamoDB at 17%.
“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
“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
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.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 197 | 6 | Compare → | |
| 147 | 2 | Compare → | |
| 145 | 0 | Compare → | |
| 107 | 1 | View → | |
| 91 | 5 | Compare → | |
| 74 | 0 | View → | |
| 66 | 2 | View → | |
| 59 | 5 | Compare → | |
| 59 | 1 | View → | |
| 41 | 0 | View → |
What the models named instead of MongoDB →
A side-by-side page exists where both products are among a category's top eight.
Stated on MongoDB's own site, not checked by Gane.
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 →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.
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 are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 3 | 0 | 3 | 0 | 6 |
| GPT-5.4 mini | 3 | 0 | 2 | 0 | 5 |
| Gemini 3.5 Flash | 4 | 3 | 0 | 0 | 7 |
| Perplexity Sonar | 4 | 0 | 0 | 1 | 5 |
| Grok 4.20 | 3 | 1 | 1 | 2 | 7 |
| Mistral Small | 3 | 1 | 1 | 1 | 6 |
| DeepSeek V4 Flash | 4 | 0 | 2 | 1 | 7 |
| Llama 4 Maverick | 2 | 1 | 1 | 0 | 4 |
| Qwen 3.7 Flash | 4 | 2 | 0 | 1 | 7 |
| Kimi K2 | 6 | 1 | 0 | 1 | 8 |
| GLM 4.7 FlashX | 3 | 0 | 3 | 0 | 6 |
| MiniMax M2.5 | 3 | 0 | 2 | 1 | 6 |
| GPT-6 Luna | 3 | 0 | 1 | 0 | 4 |
| Muse Glimmer 30B | 3 | 1 | 1 | 1 | 6 |
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Conference or event | 24,558 | 58 | 2026-09-28 | ||
| Blog | 1,653 | 30 | 2026-09-25 | ||
| News or press | 358 | 4 | 2026-09-09 | ||
| Webinar or virtual event | 325 | undated | |||
| Case study | 302 | undated | |||
| Glossary or explainer | 51 | 2 | 2026-07-20 | ||
| Comparison | 41 | 1 | 2026-07-09 | ||
| Template or tool | 18 | undated | |||
| Report or ebook | 10 | 2 | 2026-09-23 | ||
| Podcast or video | 3 | 0 | 2022-09-30 |
As the event pages on mongodb.com state them, read September 28, 2026.
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.