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NoSQL databases · October 2026 Edition

MongoDB vs ScyllaDB

Fourteen of fourteen models named MongoDB first on the direct prompt; zero named ScyllaDB. MongoDB was named by fourteen of the fourteen models and ScyllaDB by ten and MongoDB carries 82 labels and ScyllaDB 21, so the shares are not directly comparable.

MongoDB

endorsed leader

Named in four categories this edition.

ScyllaDB

accepted challenger

Named in two categories this edition.

First-choice share74%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 13; printed, not drawn.
Labels8221A 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 Couchbase · 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 modelsScyllaDB
Direct140
Paraphrase120
Comparative60
Budget-constrained1111 against MongoDB
Scale-constrained30
Negative0010 against MongoDB
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 October 2026 Edition, MongoDB and ScyllaDB were named in the same answer forty-three times, of the 236 answers naming MongoDB and the 53 naming ScyllaDB. In those answers ScyllaDB took the first choice one time and MongoDB nineteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where MongoDB and ScyllaDB stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
MongoDB ScyllaDB first choice named as an alternative argued againstblank: not namedEach cell is one answer, MongoDB on the left and ScyllaDB on the right.

The direct prompt

The plain question, one answer per model, grouped by where MongoDB and ScyllaDB stood in it.

MongoDB first, ScyllaDB not the choice

14 of 14 modelsScyllaDB was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5MongoDB alternatives: Amazon DynamoDB, Google Cloud Firestore, PostgreSQL with JSON
GPT-5.4 miniMongoDB alternatives: Amazon DynamoDB, Apache Cassandra
Gemini 3.5 FlashMongoDB alternatives: Amazon DynamoDB, Couchbase
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
DeepSeek V4 FlashMongoDB alternatives: Amazon DynamoDB, PostgreSQL
Llama 4 MaverickMongoDB
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
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 sixty-nine points.
MongoDB69%#1 of 10
ScyllaDB0%#– of 10
The full small business standing →
Mid-marketThe figures above
MongoDB leads by seventy-two points.
MongoDB74%#1 of 13
ScyllaDB2%#5 of 13
The full mid-market standing →
Enterprise
MongoDB leads by fifty-five points.
MongoDB56%#1 of 9
ScyllaDB2%#6 of 9
The full enterprise standing →

What the models said about MongoDB

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“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 · 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 · negative prompt · soft negative
“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 · 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 · 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 · budget prompt · first choice

What the models said about ScyllaDB

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“I'd recommend starting with MongoDB Atlas or ScyllaDB as they balance cost, performance, and ease of use” MiniMax M2.5 · budget prompt · first choice
“ScyllaDB is a drop-in compatible, faster version of Cassandra that is often lighter on hardware resources” Qwen 3.7 Flash · budget prompt · alternative
“these top DB-Engines (scores 1000+), have enterprise backing, and regular patches” Grok 4.1 Fast · negative prompt · alternative
Also compared

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.