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

ModelElastic ObservabilitySplunkPlaced higherLeans
Claude Haiku 5.575%75%1–3Splunk
GPT-6 Luna100%50%2–2Even
Gemini 4 Argon42%33%1–1Even
Qwen 3.8 Flash67%58%1–3Splunk
DeepSeek V4 Pro58%50%1–2Splunk
GLM-5.367%92%0–4Splunk
Kimi K3100%100%0–4Splunk
MiniMax M3100%50%2–2Even
Mistral Large 4100%58%2–2Even
Nemotron 3 Ultra100%67%2–2Even

What the models say about Elastic Observability

One reason per model, from the shared questions

  • Claude Haiku 5.5Solid log analytics and APM built on the widely used Elasticsearch stack.
  • GPT-6 LunaVersatile observability backed by powerful search and a broad data ecosystem.
  • Gemini 4 ArgonPowerful search-driven log analytics combined with scalable APM and infrastructure monitoring.
  • Qwen 3.8 FlashSearch-based logs, metrics, traces in one stack
  • DeepSeek V4 ProFlexible open-core stack combining logs, metrics, and APM on the powerful Elasticsearch engine.
  • GLM-5.3Unified logs, metrics, and traces on the trusted Elastic Stack.
  • Kimi K3Flexible search-powered observability built on proven Elasticsearch foundation.
  • MiniMax M3Unified logs, metrics, and APM on a strong search platform.
  • Mistral Large 4Strong search-powered logs, metrics, and APM under one open stack.
  • Nemotron 3 UltraELK stack power, flexible schema, self-hosted or cloud

What the models say about Splunk

One reason per model, from the shared questions

  • Claude Haiku 5.5Powerful log analysis and security-grade search for deep investigation of incidents.
  • GPT-6 LunaStrong real-time metrics, tracing, and infrastructure visibility for large organizations.
  • Gemini 4 ArgonReal-time, no-sample tracing and metrics engineered for massive enterprise scale.
  • Qwen 3.8 FlashLog analytics powerhouse for large-scale data
  • DeepSeek V4 ProPowerful log analytics combined with real-time metrics and application monitoring.
  • GLM-5.3Powerful log analytics at scale with mature search language.
  • Kimi K3Powerful log analytics and search capabilities for large-scale environments.
  • MiniMax M3Enterprise-grade logs, metrics, and traces at scale
  • Mistral Large 4Enterprise-grade log analytics and APM backed by Splunk's data platform.
  • Nemotron 3 UltraEnterprise-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

QuestionElastic ObservabilitySplunk
Best observability tools81% #663% #9