What AI assistants actually recommend when buyers ask about open-source error monitoring tools — measured on a rolling 4-week window across 3 engines, published as open data.
Updated 2026-09-18 · 21 sampled answers · rolling 4-week window · methodology
Rankings are measured from sampled AI answers — never editorial, never paid. Orbator builds AI-visibility tooling; when Orbator itself appears in any category, it is measured by the same rules as everyone else.
Measured by Orbatormethodology owner Henrik Tellewindow ends Sep 18, 2026
Sample: 21 AI answers · Window: Aug 21, 2026 – Sep 18, 2026 (4-week rolling) · trend vs prior 4 weeks (98 answers)
Samples by engine: GEMINI 7 (last run Sep 8, 2026) · CHATGPT 7 (last run Sep 8, 2026) · PERPLEXITY 7 (last run Sep 8, 2026) · GROK 0 (last run Aug 20, 2026 — stalest) · CLAUDE 0 (last run Aug 21, 2026)
How these numbers are made: sampling design · prompt provenance · what counts as a mention · what we cannot see
On the record: This ranking is frozen as a dated snapshot every day. View this category's history to see what entered and left the ranking and when, or read what the engines actually said on a given day.
Across 21 sampled AI answers from 3 engines, GlitchTip is recommended most often — appearing in 90.5% of recommendations, followed by Sentry (85.7%) and Bugsink (71.4%).
This is a measurement of share of voice across 3 AI engines — not an editorial pick. See the full ranking below.
Orbator asked Gemini, ChatGPT and Perplexity buyer questions about open-source error monitoring tools and sampled 21 answers between Aug 21, 2026 and Sep 18, 2026. Recommendation share counts the answers that recommended or listed a product, so a passing mention or a warning adds nothing to it. A category publishes once it holds at least 20 independently sampled answers in the window. Read the full methodology or download this ranking as CSV.
| # | Product | Share | Trend | Engines | |
|---|---|---|---|---|---|
| 1 | glitchtip.com | 90.5% 95% CI 71.1–97.3% 19 mentions · avg pos 1.5 first pick 52.6% | — | GEMINI 100%CHATGPT 100%PERPLEXITY 71.4% | Claim |
| 2 | sentry.io | 85.7% 95% CI 65.4–95% 18 mentions · avg pos 1.3 first pick 83.3% | — | GEMINI 85.7%CHATGPT 85.7%PERPLEXITY 85.7% | Claim |
| 3 | bugsink.com | 71.4% 95% CI 50–86.2% 15 mentions · avg pos 2.5 first pick 20% | — | GEMINI 57.1%CHATGPT 85.7%PERPLEXITY 71.4% | Claim |
| 4 | signoz.io | 47.6% 95% CI 28.3–67.6% 10 mentions · avg pos 5.1 first pick 0% | — | GEMINI 71.4%CHATGPT 28.6%PERPLEXITY 42.9% | Claim |
| 5 | opentelemetry.io | 42.9% 95% CI 24.5–63.5% 9 mentions · avg pos 4.6 first pick 0% | — | GEMINI 57.1%CHATGPT 42.9%PERPLEXITY 28.6% | Claim |
| 6 | docker.com | 42.9% 95% CI 24.5–63.5% 9 mentions · avg pos 4.6 first pick 11.1% | — | GEMINI 57.1%CHATGPT 42.9%PERPLEXITY 28.6% | Claim |
| 7 | postgresql.org | 33.3% 95% CI 17.2–54.6% 7 mentions · avg pos 3.3 first pick 42.9% | — | GEMINI 71.4%CHATGPT 28.6% | Claim |
| 8 | redis.io | 33.3% 95% CI 17.2–54.6% 7 mentions · avg pos 3.3 first pick 42.9% | — | GEMINI 71.4%CHATGPT 28.6% | Claim |
| 9 | telebugs.com | 28.6% 95% CI 13.8–50% 6 mentions · avg pos 3.3 first pick 0% | — | GEMINI 57.1%CHATGPT 14.3%PERPLEXITY 14.3% | Claim |
| 10 | clickhouse.com | 28.6% 95% CI 13.8–50% 6 mentions · avg pos 3.8 first pick 50% | — | GEMINI 57.1%CHATGPT 28.6% | Claim |
| 11 | nodejs.org | 23.8% 95% CI 10.6–45.1% 5 mentions · avg pos 3.8 first pick 40% | — | GEMINI 28.6%CHATGPT 14.3%PERPLEXITY 28.6% | Claim |
| 12 | highlight.io | 23.8% 95% CI 10.6–45.1% 5 mentions · avg pos 4.2 first pick 0% | — | GEMINI 42.9%CHATGPT 14.3%PERPLEXITY 14.3% | Claim |
| 13 | react.dev | 19% 95% CI 7.7–40% 4 mentions · avg pos 1.8 first pick 75% | — | GEMINI 28.6%CHATGPT 14.3%PERPLEXITY 14.3% | Claim |
| 14 | hyperdx.io | 19% 95% CI 7.7–40% 4 mentions · avg pos 4 first pick 0% | — | CHATGPT 14.3%PERPLEXITY 42.9% | Claim |
| 15 | errbit.com | 19% 95% CI 7.7–40% 4 mentions · avg pos 4.3 first pick 0% | — | GEMINI 28.6%CHATGPT 28.6% | Claim |
| 16 | openobserve.ai | 19% 95% CI 7.7–40% 4 mentions · avg pos 6.3 first pick 0% | — | GEMINI 57.1% | Claim |
| 17 | rubyonrails.org | 14.3% 95% CI 5–34.6% 3 mentions · avg pos 3.7 first pick 0% | — | GEMINI 28.6%CHATGPT 14.3% | Claim |
| 18 | kubernetes.io | 14.3% 95% CI 5–34.6% 3 mentions · avg pos 5.3 first pick 33.3% | — | CHATGPT 14.3%PERPLEXITY 28.6% | Claim |
| 19 | uptrace.dev | 14.3% 95% CI 5–34.6% 3 mentions · avg pos 6 first pick 0% | — | GEMINI 28.6%PERPLEXITY 14.3% | Claim |
| 20 | slack.com | 9.5% 95% CI 2.7–28.9% 2 mentions · avg pos 3 first pick 50% | — | GEMINI 14.3%CHATGPT 14.3% | Claim |
| 21 | airbrake.io | 9.5% 95% CI 2.7–28.9% 2 mentions · avg pos 3.5 first pick 0% | — | CHATGPT 28.6% | Claim |
| 22 | mongodb.com | 9.5% 95% CI 2.7–28.9% 2 mentions · avg pos 3.5 first pick 0% | — | CHATGPT 28.6% | Claim |
| 23 | Traceo | 9.5% 95% CI 2.7–28.9% 2 mentions · avg pos 5.5 first pick 0% | — | GEMINI 28.6% | Claim |
| 24 | exceptionless.com | 9.5% 95% CI 2.7–28.9% 2 mentions · avg pos 7 first pick 0% | — | GEMINI 28.6% | Claim |
| 25 | valkey.io | 4.8% 95% CI 0.8–22.7% 1 mentions · avg pos 2 first pick 0% | — | CHATGPT 14.3% | Claim |
| 26 | countly.com | 4.8% 95% CI 0.8–22.7% 1 mentions · avg pos 3 first pick 0% | — | GEMINI 14.3% | Claim |
| 27 | CrashSense | 4.8% 95% CI 0.8–22.7% 1 mentions · avg pos 5 first pick 0% | — | GEMINI 14.3% | Claim |
| 28 | Faultline | 4.8% 95% CI 0.8–22.7% 1 mentions · avg pos 5 first pick 0% | — | GEMINI 14.3% | Claim |
| 29 | grafana.com | 4.8% 95% CI 0.8–22.7% 1 mentions · avg pos 9 first pick 0% | — | GEMINI 14.3% | Claim |
| 30 | Grafana Faro | 4.8% 95% CI 0.8–22.7% 1 mentions · avg pos 9 first pick 0% | — | GEMINI 14.3% | Claim |
Reading the numbers: Share is a point estimate on 21 sampled answers, so each row also shows its 95% CI — the Wilson score interval around that share. When two products' intervals overlap, the gap between them isn't statistically meaningful at this sample size. First pick is the share of a product's recommending answers where it was named first, which separates “always mentioned” from “usually the top recommendation”. Full methodology.
Independence: Orbator customers are badged for disclosure. Customer status does not affect prompts, sampling, extraction, or ranking — see the methodology. Your product on this list? Claim it to see the prompts behind your rank and track it weekly.
Watch this category
These rankings move. Get one email a week on who AI recommends in Open-source error monitoring tools. No account needed.
Head-to-head pages for products ranked in Open-source error monitoring tools. Each one sets out sourced facts side by side, plus which product AI assistants recommend more, engine by engine.
Every number on this page is measured from sampled answers, and those answers are kept. The archive holds dated excerpts of what each engine answered, never full answers. Read the answer archive for open-source error monitoring tools to see the excerpts by date and engine, or view the ranking history to see what entered and left this ranking and when.
Across 21 sampled AI answers from 3 engines (Aug 21, 2026 to Sep 18, 2026), GlitchTip is recommended most often for open-source error monitoring tools, appearing in 90.5% of recommendations, followed by Sentry (85.7%). This is a measurement of what AI assistants recommend, not an editorial verdict.
ChatGPT recommends GlitchTip most often for open-source error monitoring tools. It appears as a recommendation in 100% of ChatGPT's sampled answers in this window (Aug 21, 2026 to Sep 18, 2026). Other engines answer differently. The per-engine breakdown in the ranking shows each one.
Orbator samples AI answers to buyer questions across 3 engines and counts how often each product is recommended. No product pays for placement. The open-source error monitoring tools ranking is based on 21 answers in the current 4-week window (Aug 21, 2026 to Sep 18, 2026). Full methodology is published at https://www.orbator.io/ai-index/methodology.
Verified facts for the most-recommended products — each sourced and dated. No editorial scoring, just the data side by side.
| Dockerdocker.com | PostgreSQLpostgresql.org | Reactreact.dev | Kuberneteskubernetes.io | MongoDBmongodb.com | |
|---|---|---|---|---|---|
| Pricing | Pro: $11 a month, $9 a year (free tier available) ↗ sourceverified Sep 5, 2026 | — | — | — | M2: $9 a month (free tier available) ↗ sourceverified Sep 5, 2026 |
| Features | Docker Compose ↗ sourceverified Sep 5, 2026 | feature robustness ↗ sourceverified Sep 5, 2026 | Components ↗ sourceverified Sep 5, 2026 | Automated rollouts and rollbacks ↗ sourceverified Sep 5, 2026 | Vector Search ↗ sourceverified Sep 5, 2026 |
| Platforms | Linux ↗ sourceverified Sep 5, 2026 | — | Web ↗ sourceverified Sep 5, 2026 | — | AWS ↗ sourceverified Sep 5, 2026 |
| Integrations | — | — | Relay ↗ sourceverified Sep 5, 2026 | — | Apache Kafka ↗ sourceverified Sep 5, 2026 |
What AI recommends in adjacent categories — same method, fresh weekly.
Not in the answer? That's fixable.
Check Your AI Visibility →© 2026 Orbator. All rights reserved.