NoSQL databases · November 2026 Edition
MongoDB vs Amazon DynamoDB
Fourteen of fourteen models named MongoDB first on the direct prompt; two named Amazon DynamoDB. Both were named by all fourteen models and MongoDB carries 82 labels and Amazon DynamoDB 65, so the shares are not directly comparable.
Named in three categories this edition.
Named in three categories this edition.
First-choice share74%12%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%17%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 14; printed, not drawn.
Labels8265A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, MongoDB reading right to left. Rank and label count are printed, not drawn.MongoDB vs PostgreSQL · MongoDB vs Redis · MongoDB vs Apache Cassandra
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the nosql databases page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
MongoDBFirst choices, of fourteen modelsAmazon DynamoDB
Direct142
Paraphrase133
Comparative60
Budget-constrained1101 against MongoDB · 2 against Amazon DynamoDB
Scale-constrained322 against Amazon DynamoDB
Negative008 against MongoDB · 7 against Amazon DynamoDB
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the November 2026 Edition, MongoDB and Amazon DynamoDB were named in the same answer 197 times, of the 243 answers naming MongoDB and the 208 naming Amazon DynamoDB. In those answers Amazon DynamoDB took the first choice six times and MongoDB 119.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where MongoDB and Amazon DynamoDB stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | | |
| Grok 4.20 | | | | | | |
| Mistral Small | | | | | | |
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | | | ||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | | | |
MongoDB Amazon DynamoDB first choice named as an alternative argued againstblank: not namedEach cell is one answer, MongoDB on the left and Amazon DynamoDB on the right.The direct prompt
The plain question, one answer per model, grouped by where MongoDB and Amazon DynamoDB stood in it.
Both were the first choice
2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Claude Haiku 4.5Amazon DynamoDB, MongoDB alternatives: Firebase, Redis
GPT-5.4 miniAmazon DynamoDB, MongoDB alternatives: Azure Cosmos DB
MongoDB first, Amazon DynamoDB an alternative
12 of 14 modelsAmazon DynamoDB was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashMongoDB alternatives: Amazon DynamoDB, Azure Cosmos DB, Couchbase, Neo4j, Redis
Perplexity SonarMongoDB alternatives: Amazon DynamoDB, Apache Cassandra, Azure Cosmos DB, Couchbase, Neo4j, ScyllaDB
Grok 4.20MongoDB alternatives: Amazon DynamoDB, Apache Cassandra, Couchbase, Elasticsearch
Mistral SmallMongoDB alternatives: Amazon DynamoDB
DeepSeek V4 FlashMongoDB alternatives: Amazon DynamoDB, Apache Cassandra, Couchbase, DataStax
Llama 4 MaverickMongoDB
Qwen 3.7 FlashMongoDB alternatives: Amazon DynamoDB, PostgreSQL
Kimi K2MongoDB alternatives: Amazon DynamoDB, Apache Cassandra, Couchbase, Redis
GLM 4.7 FlashXMongoDB alternatives: Amazon DynamoDB, Apache Cassandra, Azure Cosmos DB, Couchbase
MiniMax M2.5MongoDB alternatives: Apache Cassandra, Elasticsearch, Neo4j
GPT-6 LunaMongoDB alternatives: Amazon DynamoDB, Couchbase
Muse Glimmer 30BMongoDB alternatives: Amazon DynamoDB
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
MongoDB leads by seventy-four points.
MongoDB81%#1 of 12Amazon DynamoDB8%#2 of 12Mid-marketThe figures above
MongoDB leads by sixty-one points.
MongoDB74%#1 of 14Amazon DynamoDB12%#2 of 14Enterprise
MongoDB leads by thirty-six points.
MongoDB53%#1 of 14Amazon DynamoDB17%#2 of 14What the models said about MongoDB
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid MongoDB if you need multi-document ACID transactions” MiniMax M2.5 · negative prompt · hard negative
“MongoDB: Do not casually trust deployment defaults... choose read and write concerns deliberately, define schemas in application code” Perplexity Sonar · negative prompt · soft negative
“over managed cloud services like MongoDB Atlas, DynamoDB, or Cosmos DB — the latter can incur unexpected costs” Grok 4.20 · budget prompt · soft negative
“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 prompt · first choice
“MongoDB remains one of the most popular document-based NoSQL databases, offering scalability, flexibility, and strong indexing capabilities.” Muse Glimmer 30B · comparative prompt · 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 prompt · first choice
What the models said about Amazon DynamoDB
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“AI models and experts often advise avoiding DynamoDB as a primary application database unless your use case is a perfect fit for key-value patterns.” Mistral Small · negative prompt · hard negative
“Avoid managed enterprise tiers (DynamoDB, Cosmos DB, etc.)” GLM 4.7 FlashX · budget prompt · hard negative
“DynamoDB (but model your access patterns rigidly upfront)... DynamoDB's provisioned mode can be cheap or catastrophically expensive if misconfigured.” Kimi K2 · scale prompt · soft negative
“lean toward a managed, cloud-specific solution (like DynamoDB or Cosmos DB), even with the potential lock-in” Qwen 3.7 Flash · scale prompt · first choice
“MongoDB (as a managed service like MongoDB Atlas) or Amazon DynamoDB would be my top recommendations” Grok 4.20 · paraphrase prompt · first choice
“For a key-value database service, Amazon DynamoDB is the most frequently recommended option.” Mistral Small · paraphrase prompt · first choice
Also compared
MongoDB vs PostgreSQLMongoDB vs RedisMongoDB vs Apache CassandraMongoDB vs Azure Cosmos DBMongoDB vs Apache CouchDBAmazon DynamoDB vs PostgreSQLAmazon DynamoDB vs RedisAmazon DynamoDB vs Apache CassandraAmazon DynamoDB vs Azure Cosmos DBAmazon DynamoDB vs Apache CouchDBAll twenty-one head-to-head pages and the full nosql standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.