NoSQL databases · November 2026 Edition
MongoDB vs Apache CouchDB
Fourteen of fourteen models named MongoDB first on the direct prompt; zero named Apache CouchDB. MongoDB was named by fourteen of the fourteen models and Apache CouchDB by seven and MongoDB carries 82 labels and Apache CouchDB 12, so the shares are not directly comparable.
Named in three categories this edition.
Named in one category this edition.
First-choice share74%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%42%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 14; printed, not drawn.
Labels8212A 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.Amazon DynamoDB was named alongside these two in twelve of the fourteen direct answers. MongoDB vs Amazon DynamoDB · MongoDB vs PostgreSQL · MongoDB vs Redis
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 modelsApache CouchDB
Direct140
Paraphrase130
Comparative60
Budget-constrained1111 against MongoDB
Scale-constrained30
Negative008 against MongoDB · 5 against Apache CouchDB
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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where MongoDB and Apache CouchDB 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 Apache CouchDB first choice named as an alternative argued againstblank: not namedEach cell is one answer, MongoDB on the left and Apache CouchDB on the right.The direct prompt
The plain question, one answer per model, grouped by where MongoDB and Apache CouchDB stood in it.
MongoDB first, Apache CouchDB not the choice
14 of 14 modelsApache CouchDB was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Amazon DynamoDB, MongoDB alternatives: Firebase, Redis
GPT-5.4 miniAmazon DynamoDB, MongoDB alternatives: Azure Cosmos DB
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 eighty-one points.
MongoDB81%#1 of 12Apache CouchDB0%#7 of 12Mid-marketThe figures above
MongoDB leads by seventy-two points.
MongoDB74%#1 of 14Apache CouchDB2%#7 of 14Enterprise
MongoDB leads by fifty-three points.
MongoDB53%#1 of 14Apache CouchDB0%#– 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 Apache CouchDB
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Status: Declining — PayloadDB and CouchDB have seen declining contributor counts and activity.” DeepSeek V4 Flash · negative prompt · hard negative
“showing essentially zero current recommendation momentum in recent AI-model surveys” Muse Glimmer 30B · negative prompt · hard negative
“CouchDB's replication is powerful for offline-first but has a smaller ecosystem.” Grok 4.20 · negative prompt · soft negative
“Apache Cassandra or CouchDB for wide-column / key-value” Muse Glimmer 30B · budget prompt · first choice
“Open-source and completely free” Claude Haiku 4.5 · budget prompt · alternative
“Best for Offline-First & Sync” DeepSeek V4 Flash · budget prompt · alternative
Also compared
MongoDB vs Amazon DynamoDBMongoDB vs PostgreSQLMongoDB vs RedisMongoDB vs Apache CassandraMongoDB vs Azure Cosmos DBAmazon DynamoDB vs Apache CouchDBPostgreSQL vs Apache CouchDBRedis vs Apache CouchDBApache Cassandra vs Apache CouchDBAzure Cosmos DB 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.