# Elasticsearch: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 38 judge labels across 8 categories by 13 of 14 models. Page: https://www.gane.ai/index/it/vendors/elasticsearch

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Vector databases](https://www.gane.ai/index/it/it-data/vector-databases/index.md) | 2% | 6 | 0% | 11 |
| [NoSQL databases](https://www.gane.ai/index/it/it-data/nosql-databases/index.md) | 0% | 21 | 33% | 12 |
| [Time series databases](https://www.gane.ai/index/it/it-data/time-series-databases/index.md) | 0% | 49 | 43% | 7 |
| [Telemetry pipelines](https://www.gane.ai/index/it/operations/telemetry-pipelines/index.md) | 0% | 84 | 50% | 4 |
| [AIOps platforms](https://www.gane.ai/index/it/operations/aiops-platforms/index.md) | 0% | 66 | 0% | 1 |
| [Application performance monitoring](https://www.gane.ai/index/it/operations/application-performance-monitoring/index.md) | 0% | 47 | 0% | 1 |
| [Observability platforms](https://www.gane.ai/index/it/operations/observability-platforms/index.md) | 0% | 60 | 100% | 1 |
| [SIEM platforms](https://www.gane.ai/index/it/security/siem-platforms/index.md) | 0% | 54 | 100% | 1 |

## What the models said for it

- "1. Elasticsearch: Best for combining vector, full-text, and log search." (Llama 4 Maverick, Vector databases)
- "Your existing search platform—for example, Elasticsearch—if you already use it and need lexical search, filters, and vector retrieval in one system." (GPT-6 Luna, Vector databases)
- "Databases like MongoDB or Cassandra aren’t optimized for complex search. Use Elasticsearch or specialized search engines." (MiniMax M2.5, NoSQL)
- "Elasticsearch / OpenSearch | Best if you already run it for search; good hybrid search capabilities" (DeepSeek V4 Flash, Vector databases)

## And against it

- "Tools like Elasticsearch (often paired with NoSQL) or standalone Cassandra clusters require significant DevOps overhead to maintain." (Qwen 3.7 Flash, NoSQL)
- "Traditional log engines like Elasticsearch/OpenSearch build heavy inverted indexes ... driving up disk and RAM costs massively" (Gemini 3.5 Flash, Telemetry pipelines)
- "Using open-source tools like Elasticsearch, Graylog, or Wazuh stitched together... often fail compliance audits" (MiniMax M2.5, SIEM)
- "Using ES for pure time-series metrics leads to massive disk consumption compared to specialized databases." (Qwen 3.7 Flash, Time series DBs)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 1 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 4 | 4 |
| Perplexity Sonar | 0 | 2 | 1 | 0 | 3 |
| Grok 4.20 | 0 | 3 | 3 | 1 | 7 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 0 | 2 |
| Llama 4 Maverick | 1 | 0 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 2 | 3 | 5 |
| Kimi K2 | 0 | 1 | 2 | 1 | 4 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 3 | 3 | 1 | 7 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |

## Sources returned with these answers

The sites and pages cited by the answers that named Elasticsearch, from 60 of the 86 answers that named it (only the models that return a source list).

### Domains cited

- g2.com: 25
- github.com: 22
- dev.to: 12
- gane.ai/index: 11
- sganalytics.com: 11
- atlan.com: 9
- linkedin.com: 9
- docs.aws.amazon.com: 8
- pingcap.com: 7
- qdrant.tech: 7

### Pages cited

- https://g2.com/articles/best-vector-databases: 16
- https://sganalytics.com/blog/top-vector-databases-enterprise-ai: 11
- https://atlan.com/know/top-vector-databases-enterprise-ai: 9
- https://geekflare.com/open-source/vector-database: 5
- https://capterra.com/nosql-databases-software: 4
- https://databricks.com/blog/ai-database-solutions: 4
- https://dev.to/devrudals/enterprise-vector-database-2026-qdrant-vs-milvus-vs-pgvector-vs-pinecone-16a0: 4
- https://www.gane.ai/index/it/it-data/vector-databases/enterprise: 4

## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.