Elastic ObservabilityvsSplunk
How 10 AI models weigh Elastic Observability against Splunk on the 1 buying question where both came up.
- Elastic Observability
- 81%of answers named it
- Splunk
- 63%of answers named it
- Placed higher
- 12–25times Elastic Observability vs Splunk, over 37 model rankings that listed either
- Models leaning
- 0–5toward Elastic Observability vs Splunk; 5 even
Which models prefer which
Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording
| Model | Elastic Observability | Splunk | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 75% | 75% | 1–3 | Splunk |
| GPT-6 Luna | 100% | 50% | 2–2 | Even |
| Gemini 4 Argon | 42% | 33% | 1–1 | Even |
| Qwen 3.8 Flash | 67% | 58% | 1–3 | Splunk |
| DeepSeek V4 Pro | 58% | 50% | 1–2 | Splunk |
| GLM-5.3 | 67% | 92% | 0–4 | Splunk |
| Kimi K3 | 100% | 100% | 0–4 | Splunk |
| MiniMax M3 | 100% | 50% | 2–2 | Even |
| Mistral Large 4 | 100% | 58% | 2–2 | Even |
| Nemotron 3 Ultra | 100% | 67% | 2–2 | Even |
What the models say about Elastic Observability
One reason per model, from the shared questions
- Claude Haiku 5.5
Solid log analytics and APM built on the widely used Elasticsearch stack.
- GPT-6 Luna
Versatile observability backed by powerful search and a broad data ecosystem.
- Gemini 4 Argon
Powerful search-driven log analytics combined with scalable APM and infrastructure monitoring.
- Qwen 3.8 Flash
Search-based logs, metrics, traces in one stack
- DeepSeek V4 Pro
Flexible open-core stack combining logs, metrics, and APM on the powerful Elasticsearch engine.
- GLM-5.3
Unified logs, metrics, and traces on the trusted Elastic Stack.
- Kimi K3
Flexible search-powered observability built on proven Elasticsearch foundation.
- MiniMax M3
Unified logs, metrics, and APM on a strong search platform.
- Mistral Large 4
Strong search-powered logs, metrics, and APM under one open stack.
- Nemotron 3 Ultra
ELK stack power, flexible schema, self-hosted or cloud
What the models say about Splunk
One reason per model, from the shared questions
- Claude Haiku 5.5
Powerful log analysis and security-grade search for deep investigation of incidents.
- GPT-6 Luna
Strong real-time metrics, tracing, and infrastructure visibility for large organizations.
- Gemini 4 Argon
Real-time, no-sample tracing and metrics engineered for massive enterprise scale.
- Qwen 3.8 Flash
Log analytics powerhouse for large-scale data
- DeepSeek V4 Pro
Powerful log analytics combined with real-time metrics and application monitoring.
- GLM-5.3
Powerful log analytics at scale with mature search language.
- Kimi K3
Powerful log analytics and search capabilities for large-scale environments.
- MiniMax M3
Enterprise-grade logs, metrics, and traces at scale
- Mistral Large 4
Enterprise-grade log analytics and APM backed by Splunk's data platform.
- Nemotron 3 Ultra
Enterprise-grade; SignalFx heritage excels at metrics at scale.
Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.
Question by question
Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first
| Question | Elastic Observability | Splunk |
|---|---|---|
| Best observability tools | 81% #6 | 63% #9 |