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NoSQL databases · October 2026 Edition

Redis vs ScyllaDB

Zero of fourteen models named Redis first on the direct prompt; zero named ScyllaDB. Redis was named by fourteen of the fourteen models and ScyllaDB by ten and Redis carries 55 labels and ScyllaDB 21, so the shares are not directly comparable.

Redis

accepted challenger

Named in four categories this edition.

ScyllaDB

accepted challenger

Named in two categories this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 13; printed, not drawn.
Labels5521A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Redis 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 Redis · MongoDB vs ScyllaDB · Amazon DynamoDB 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.
RedisFirst choices, of fourteen modelsScyllaDB
Direct00
Paraphrase102 against Redis
Comparative30
Budget-constrained011 against Redis
Scale-constrained00
Negative005 against Redis
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, Redis and ScyllaDB were named in the same answer thirty-four times, of the 166 answers naming Redis and the 53 naming ScyllaDB. In those answers ScyllaDB took the first choice zero times and Redis one.

Every model, every framing

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

The direct prompt

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

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Mistral SmallAmazon DynamoDB, MongoDB alternatives: Azure Cosmos DB, Redis

Neither was named

13 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
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
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
Level: the same share of first choices.
Redis0%#8 of 10
ScyllaDB0%#– of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Redis2%#4 of 13
ScyllaDB2%#5 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Redis2%#8 of 9
ScyllaDB2%#6 of 9
The full enterprise standing →

What the models said about Redis

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

“Redis is extremely fast but should be used with caution for data that needs to persist on disk or for applications requiring complex queries” Mistral Small · negative prompt · soft negative
“Cautious when: Using it as a primary database rather than a cache — it's an in-memory store, and data durability can be a concern.” DeepSeek V4 Flash · negative prompt · soft negative
“early versions lacked auth. Redis 7+ is solid; use ACLs and avoid as a primary durable store unless clustered with persistence.” Grok 4.1 Fast · negative prompt · soft negative
“Redis is the most popular and versatile key-value store... ideal for mid-sized B2B applications” Mistral Small · paraphrase prompt · first choice
“Redis receiving the highest rating of 8.9 among the leaders” Claude Haiku 4.5 · comparative prompt · first choice
“Key-Value Stores Top Examples: Redis, Amazon DynamoDB” Qwen 3.7 Flash · comparative 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.