NoSQL databases · October 2026 Edition
Couchbase vs PostgreSQL
Zero of fourteen models named Couchbase first on the direct prompt; zero named PostgreSQL. Couchbase was named by fourteen of the fourteen models and PostgreSQL by nine and Couchbase carries 43 labels and PostgreSQL 11, so the shares are not directly comparable.
Named in one category this edition.
Named in six categories this edition.
First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 13; printed, not drawn.
Labels4311A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Couchbase reading right to left. Rank and label count are printed, not drawn.MongoDB was named alongside these two in fourteen of the fourteen direct answers. MongoDB vs Couchbase · MongoDB vs PostgreSQL · Amazon DynamoDB vs Couchbase
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.
CouchbaseFirst choices, of fourteen modelsPostgreSQL
Direct002 against Couchbase
Paraphrase101 against Couchbase
Comparative00
Budget-constrained10
Scale-constrained01
Negative011 against Couchbase
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 Couchbase and PostgreSQL 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 4.1 Fast | | | ||||
| 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 | | |
Couchbase PostgreSQL first choice named as an alternative argued againstblank: not namedEach cell is one answer, Couchbase on the left and PostgreSQL on the right.The direct prompt
The plain question, one answer per model, grouped by where Couchbase and PostgreSQL stood in it.
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashMongoDB alternatives: Amazon DynamoDB, Couchbase
DeepSeek V4 FlashMongoDB alternatives: Amazon DynamoDB, PostgreSQL
Qwen 3.7 FlashMongoDB alternatives: Amazon DynamoDB, Neo4j, PostgreSQL
Kimi K2MongoDB alternatives: Couchbase
GLM 4.7 FlashXMongoDB alternatives: Amazon DynamoDB, Apache Cassandra, Couchbase
MiniMax M2.5MongoDB alternatives: Amazon DynamoDB, Couchbase
GPT-6 LunaMongoDB alternatives: Amazon DynamoDB, PostgreSQL
Neither was named
7 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5MongoDB alternatives: Amazon DynamoDB, Google Cloud Firestore, PostgreSQL with JSON
GPT-5.4 miniMongoDB alternatives: Amazon DynamoDB, Apache Cassandra
Perplexity SonarMongoDB alternatives: Amazon DynamoDB, Azure Cosmos DB
Grok 4.1 FastMongoDB alternatives: Amazon DynamoDB, Apache Cassandra
Mistral SmallAmazon DynamoDB, MongoDB alternatives: Azure Cosmos DB, Redis
Llama 4 MaverickMongoDB
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
PostgreSQL leads by three points.
PostgreSQL5%#4 of 10Couchbase2%#5 of 10Mid-marketThe figures above
The order flips: Couchbase leads at mid-market.
Couchbase4%#3 of 13PostgreSQL2%#6 of 13Enterprise
What the models said about Couchbase
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“otherwise it is usually more specialized than MongoDB for a general mid-market B2B stack” GPT-5.4 mini · direct prompt · soft negative
“Cons: Heavier operational complexity compared to fully managed alternatives” DeepSeek V4 Flash · paraphrase prompt · soft negative
“More enterprise-focused, $1,800+/mo — likely overkill for mid-market” DeepSeek V4 Flash · direct prompt · soft negative
“1. Couchbase - a key-value database that stores data as documents, ideal for simple data storage and retrieval needs.” Llama 4 Maverick · paraphrase prompt · first choice
“MongoDB and Couchbase are the best choices due to their ease of use, strong community support, and free tiers” Mistral Small · budget prompt · first choice
“Prefer managed services to keep ops headcount low: MongoDB Atlas, Amazon DynamoDB, Azure Cosmos DB, Couchbase Capella, managed Cassandra.” Muse Glimmer 30B · scale prompt · alternative
What the models said about PostgreSQL
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Before choosing any NoSQL database, ask yourself: "Why can't I use PostgreSQL?"” Gemini 3.5 Flash · negative prompt · first choice
“If your data is highly normalized and relational ... stick to Postgres.” Qwen 3.7 Flash · scale prompt · first choice
“modern trends suggest looking at PostgreSQL (specifically with JSONB) as the ultimate hybrid solution” Qwen 3.7 Flash · direct prompt · alternative
Also compared
MongoDB vs CouchbaseMongoDB vs PostgreSQLAmazon DynamoDB vs CouchbaseAmazon DynamoDB vs PostgreSQLCouchbase vs RedisCouchbase vs ScyllaDBCouchbase vs Google Cloud FirestoreRedis vs PostgreSQLScyllaDB vs PostgreSQLPostgreSQL vs Google Cloud FirestoreAll 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.