Redis vs Apache Cassandra
Zero of fourteen models named Redis first on the direct prompt; zero named Apache Cassandra. Both were named by all fourteen models and Redis carries 56 labels and Apache Cassandra 54, so the shares are not directly comparable.
Named in two categories this edition.
Named in two categories this edition.
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
RedisFirst choices, of fourteen modelsApache Cassandra
Across every category in the November 2026 Edition, Redis and Apache Cassandra were named in the same answer 115 times, of the 152 answers naming Redis and the 163 naming Apache Cassandra. In those answers Apache Cassandra took the first choice two times and Redis one.
Every model, every framing
| 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 | | | |
Redis Apache Cassandra first choice named as an alternative argued againstblank: not namedEach cell is one answer, Redis on the left and Apache Cassandra on the right.The direct prompt
Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.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
Redis0%#5 of 12Apache Cassandra0%#12 of 12Redis2%#4 of 14Apache Cassandra2%#5 of 14Apache Cassandra3%#5 of 14Redis2%#8 of 14What the models said about Redis
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 Redis as a sole data store for critical financial data.” MiniMax M2.5 · negative prompt · hard negative
“Redis as the only copy of important data — Don't assume data is durable just because it's in a database.” GPT-6 Luna · negative prompt · soft negative
“Redis is rarely used as a *primary* database for storage due to cost constraints and lack of durability” Qwen 3.7 Flash · direct prompt · soft negative
“Redis for a key-value database” GLM 4.7 FlashX · paraphrase prompt · first choice
“For caching, real-time, or session store: Redis (via ElastiCache or Redis Cloud) is almost always the right answer.” MiniMax M2.5 · scale prompt · alternative
“In-Memory / Fast Key-Value | Redis Enterprise, Dragonfly | Caching, session stores, real-time leaderboards.” Gemini 3.5 Flash · scale prompt · alternative
What the models said about Apache Cassandra
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Verdict: Avoid unless you have a team of Cassandra specialists and a use case that truly demands it.” Kimi K2 · negative prompt · hard negative
“Avoid Apache Cassandra unless you expect millions of users immediately.” Qwen 3.7 Flash · budget prompt · hard negative
“Avoid Cassandra if you lack DevOps expertise for tuning.” MiniMax M2.5 · negative prompt · hard negative
“Absolute $0 software + you control infra: Apache Cassandra or CouchDB for wide-column / key-value” Muse Glimmer 30B · budget prompt · first choice
“Cassandra or Couchbase may be better long-term bets—though they require more operational investment” Kimi K2 · direct prompt · alternative
“Best for High-Volume Writes & Scaling... Consideration: Steeper learning curve and more complex operations” DeepSeek V4 Flash · budget prompt · alternative
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.