AI Recommendation Standings / archive
Observability: September 2026
The final September 2026 standings for “What should I use for observability and monitoring?”. These numbers are fixed and can be cited by permalink. See the current standings.
AI share of voice · September 2026
583 sampled answers · 10 models
- 1Datadog▼ 31.20.5%DeepSeek V4 Flash 0731 · GLM 5.2—
- 2New Relic▼ 29.10.3%DeepSeek V4 Flash 0731 · GLM 5.2—
- 3Grafana▼ 31.80.2%DeepSeek V4 Flash 0731—
- 4Honeycomb▼ 17.90.2%GLM 5.2—
- 5OpenTelemetry▼ 15.80.2%DeepSeek V4 Flash 0731—
- 6Prometheus▼ 30.40.2%DeepSeek V4 Flash 0731—
Biggest mover: Grafana ▼ 31.8 pts vs the previous month
Share of voice weights each compared model equally: it is the average, across the models, of how often each one named the tool in its own answers, so a model probed more than another can't skew it. Model chips list which AI models named it this month; the pulse is the sentiment of that month's developer mentions across Hacker News, Reddit, GitHub, Stack Overflow, Bluesky and more.
Quotable · copy freely
Averaged equally across 10 AI models, Datadog is named in 0.5% of answers about observability (2 of 10 name it).
The 3 prompts behind these standings
- ›What should I use for observability and monitoring? (recommendation)
- ›What are the best Datadog alternatives? (alternatives)
- ›Which observability platform is best for a small team? (recommendation)
Each prompt is sampled several times per model per probe because answers vary run to run; 583 answers across 4 probe runs fed this month.