# Apache Cassandra: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 43 judge labels across 1 categories by 12 of 12 models. Page: https://it-ai-index.com/vendors/apache-cassandra/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| NoSQL databases | 0% | 12 | 30% | 43 |

## What the models said for it

- "Massive write-heavy, linearly scalable big data → Cassandra" (DeepSeek V4 Flash, NoSQL)
- "If you need high scalability and can handle more operational complexity, Apache Cassandra or ScyllaDB are excellent choices." (Mistral Small, NoSQL)
- "If you have technical capacity to self-host and want to control long-term costs, go with Apache Cassandra or CouchDB." (Kimi K2, NoSQL)
- "Cassandra (DataStax Astra) | Best for write-heavy distributed workloads, but higher operational complexity." (Kimi K2, NoSQL)

## And against it

- "it's *extremely* easy to misuse... If you don't have a genuine write-heavy, massive-scale, multi-datacenter requirement, Cassandra is overkill." (DeepSeek V4 Flash, NoSQL)
- "While highly scalable, it defaults to eventual consistency, which can cause issues for applications requiring strong consistency" (Mistral Small, NoSQL)
- "For a mid-market B2B company, they are usually "overkill" and require too much specialized engineering maintenance." (Gemini 3.5 Flash, NoSQL)
- "more operational complexity and limited query flexibility. Probably overkill for most mid-market workloads." (DeepSeek V4 Flash, NoSQL)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.