# Elasticsearch: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 9 judge labels across 2 categories by 6 of 12 models. Page: https://it-ai-index.com/vendors/elasticsearch/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Vector databases | 0% | 23 | 40% | 5 |
| NoSQL databases | 0% | 47 | 50% | 4 |

## What the models said for it

- "If you want a unified search experience, go with Elasticsearch." (Mistral Small, Vector databases)
- "Full-text search & analytics → Elasticsearch" (DeepSeek V4 Flash, NoSQL)

## And against it

- "MongoDB / Elasticsearch with vector support | When your app is mostly semantic retrieval and not document/JSON or text-search centric" (Perplexity Sonar, Vector databases)
- "Risk Level: Medium-High
Elasticsearch is often used for search capabilities but is frequently misconfigured." (GLM 4.7 FlashX, NoSQL)
- "weren't designed for it from the ground up — watch memory consumption... limited algorithm support" (DeepSeek V4 Flash, Vector databases)
- "maintaining a self-hosted cluster of Apache Cassandra or Elasticsearch manually is dangerous" (Qwen 3.7 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.