# Splunk On-Call: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 17 judge labels across 1 categories by 10 of 12 models. Page: https://it-ai-index.com/vendors/splunk-on-call/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Incident management and on-call | 0% | 52 | 47% | 17 |

## What the models said for it

- "Need Splunk-aligned on-call → Splunk On-Call" (GPT-5.4 mini, Incidents)
- "Best for: Organizations using Splunk ecosystem" (MiniMax M2.5, Incidents)
- "## Alternative Worth Considering" (Kimi K2, Incidents)

## And against it

- "Avoid ... basic tools like VictorOps/Splunk On-Call (now pricier, less innovative)" (Grok 4.1 Fast, Incidents)
- "Rule out Opsgenie and VictorOps/Splunk On-Call entirely (dead products)." (DeepSeek V4 Flash, Incidents)
- "Observability "Add-On" On-Call Tools (e.g., Splunk On-Call, Datadog On-Call, Grafana OnCall)... Be cautious because" (Kimi K2, Incidents)
- "Expensive if you only need alerting and not the full Splunk stack; can feel bloated if you are a lightweight shop." (Qwen 3.7 Flash, Incidents)

## 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.