Small business=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 4% in September 2026
Inside the floor by 11 pointsRank 10 of 72, unchanged
7 categories · RankedPrometheus
307Judge labels
10First choices
88Negative labels
14 / 14Models named it
7Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
4% in Infra monitoring for mid-market buyers
Rank 8 of 79 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 32% of its 31 labels there were negative.
What the models named instead of Prometheus →By buyer segmentRead the same way at every buyer size.
Small business10 of 74
4%21 labels
criticized challenger
Mid-market8 of 79
4%31 labels
criticized challenger
Enterprise23 of 70
0%23 labels
criticized challenger
In infra monitoring · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Prometheus for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Infrastructure monitoring | IT operations and endpoint | 4% | 8 of 79 | 32% | 31 | criticized challenger | =heldSince September 2026: 4% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Telemetry pipelines | IT operations and endpoint | 3% | 5 of 124 | 5% | 19 | accepted challenger | |
| Time series databases | Data platform | 2% | 5 of 66 | 19% | 43 | accepted challenger | |
| Observability platforms | IT operations and endpoint | 2% | 9 of 80 | 21% | 19 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Application performance monitoring | IT operations and endpoint | 0% | 15 of 66 | 12% | 8 | under 10 labels · led by New Relic at 46% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Network monitoring and management | Network and edge | 0% | 20 of 78 | 0% | 4 | under 10 labels · led by Auvik at 26% | |
| AIOps platforms | IT operations and endpoint | 0% | 29 of 93 | 0% | 3 | under 10 labels · led by New Relic at 17% |
Movement
Since September 2026, Prometheus held within the floor in all seven categories: no change cleared 11 points.
Best category · Infra monitoring · by segment
Mid-market=heldSince September 2026: 4% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
5%from 4% in September 2026
Inside the floor by 11 pointsRank 7 → 8 of 69
Enterprise▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 4% in September 2026
Inside the floor by 7 pointsRank 4 → 36 of 65
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Telemetry pipelines | 0% | 4% | newNew since September 2026: not ranked then, 4% now. | New this edition | Rank 5 of 124, unchanged |
| Time series DBs | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 5 of 66, unchanged |
| Observability | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 23 → 9 of 80 |
| Infra monitoring | 4% | 5% | =heldSince September 2026: 4% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 7 → 8 of 79 |
| APM | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 19 → 15 of 66 |
| Network monitoring | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 20 of 78, unchanged |
| AIOps | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 29 of 93, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Prometheus across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Prometheus across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 3 | 4 | 1 | 10 |
| GPT-5.4 mini | 0 | 3 | 2 | 0 | 5 |
| Gemini 3.5 Flash | 0 | 2 | 5 | 5 | 12 |
| Perplexity Sonar | 0 | 4 | 0 | 1 | 5 |
| Grok 4.20 | 0 | 9 | 3 | 4 | 16 |
| Mistral Small | 1 | 2 | 2 | 0 | 5 |
| DeepSeek V4 Flash | 1 | 5 | 2 | 3 | 11 |
| Llama 4 Maverick | 0 | 3 | 1 | 0 | 4 |
| Qwen 3.7 Flash | 1 | 6 | 4 | 1 | 12 |
| Kimi K2 | 0 | 7 | 1 | 2 | 10 |
| GLM 4.7 FlashX | 0 | 9 | 3 | 2 | 14 |
| MiniMax M2.5 | 2 | 4 | 2 | 2 | 10 |
| GPT-6 Luna | 0 | 4 | 0 | 2 | 6 |
| Muse Glimmer 30B | 0 | 5 | 1 | 1 | 7 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct30 labels1
Paraphrase23 labelsNone
Comparative57 labels3not counted in share
Budget-constrained74 labels9
Scale-constrained40 labelsNone
Negative83 labels3not counted in share
First choiceAlternativeMentionNegative307 labels in all, every segment counted; 10 of the 16 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Prometheus is by default free to use... Prometheus is an excellent choice as a powerful open-source monitoring and alerting toolkit.” Claude Haiku 4.5 · Time series DBs · budget prompt · first choice
“The key is to start simple with one open-source tool (like Prometheus + Grafana), establish baseline visibility” Claude Haiku 4.5 · Telemetry pipelines · budget prompt · first choice
“Best zero‑cost solution: Deploy Prometheus + Grafana + Loki + Jaeger yourself on a cheap VM.” MiniMax M2.5 · Observability · budget prompt · first choice
“Metric storage | Prometheus | No licensing cost; very lightweight for typical workloads.” MiniMax M2.5 · Telemetry pipelines · budget prompt · first choice
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Avoid "turnkey" open source stacks when you lack the team to maintain upgrades... an unpatched Prometheus/Grafana deployment is a liability.” Muse Glimmer 30B · Infra monitoring · negative prompt · soft negative
“Open-source tools like vanilla Prometheus, while powerful, can require significant operational expertise to scale properly.” MiniMax M2.5 · Infra monitoring · negative prompt · soft negative
“its local storage isn’t clustered or replicated. Don’t treat one instance as a highly available, durable monitoring backend” GPT-6 Luna · Infra monitoring · negative prompt · soft negative
“Prometheus local storage as your only durable, highly available store. ... its local TSDB isn't clustered or replicated.” GPT-6 Luna · Time series DBs · negative prompt · soft negative
Named alongside
The products named in the same answers as Prometheus, over the 307 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Prometheus was named but was not.ShowHide
Named alongside
The products named in the same answers as Prometheus, over the 307 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Prometheus was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Prometheus. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 257 of the 307 answers that named Prometheus and are not a share of its labels.
Domains cited
guideflow.com94
tigerdata.com83
clickhouse.com69
motadata.com68
influxdata.com64
g2.com61
questdb.com60
openobserve.ai52
mgsoftware.nl51
middleware.io51
653 of the 653 domain citations in answers naming Prometheus came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
prometheus.io is not in Google's top ten for any of the category's searches. In the answers, Prometheus takes 4% of first choices and Datadog takes 28%.ShowHide
Search and answers
prometheus.io is not in Google's top ten for any of the category's searches. In the answers, Prometheus takes 4% of first choices and Datadog takes 28%.
ShowHideIn search
Google, US estimatesPosition for “infrastructure monitoring tool”
–
not in the top ten
Position for “infrastructure monitoring tools”
–
not in the top ten
- Searches for its name, Google
- 246,000 a month (“prometheus”)
- AI search demand for its name, est.
- 11,819 a month
- Organic visits to its site
- about 22,996 a month
- Searches its site ranks for
- 7,186 · 421 in the top three
- Sites linking to it
- 19,369
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
4%
rank 8 of 79 in infra monitoring
Segment leader
28%
Datadog
- First choices
- 10 across its categories
- Named in
- 307 answers
- Its own site cited
- in 257 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on prometheus.io
1,155
subdomains included
Content
85
counted in the table below
Documentation
163
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 60 | 1 | 2026-09-21 | Feature flags | |
| Report or ebook | 14 | undated | |||
| Comparison | 7 | 0 | 2025-08-25 | ||
| Glossary or explainer | 4 | 0 | 2022-05-29 |
Most recent
- 2026-09-21Otel prometheus interoperability survey blog
- 2026-06-30Learn cloud with lfx blog
- 2026-04-22Ask the prometheus docs with kapa ai blog
- 2026-04-08Introducing ux research working group blog
- 2026-03-05Uncached io blog
- 2026-02-14Modernizing prometheus composite samples blog
How it is countedHide how it is counted
Every page prometheus.io exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.
Names read as Prometheus
What the judge wrote, as written, with how often. The vendor table decides that these count as Prometheus; a claim can dispute any of them.
Grafana + Prometheus + OpenTelemetry 1Grafana Cloud / Prometheus 1Prometheus (+ Grafana) 1Prometheus (often with Grafana) 1Prometheus + Grafana + Loki 1Prometheus + Grafana + OpenTelemetry 1Prometheus + Grafana + custom ML 1Prometheus + Grafana OSS 1Prometheus + Grafana self-hosted stack 1Prometheus + VictoriaMetrics 1Prometheus and Grafana Stack 1Prometheus/Grafana Stack 1Prometheus/Grafana/Loki 1Raw Prometheus 1Self-hosted Prometheus + Grafana 1self-hosted Prometheus + Grafana 1
Follow Prometheus
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Prometheus is its own company.ShowHide
The company
Prometheus is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Open source metrics and monitoring for your systems and services
- For
- Monitor your applications, systems, and services
- Certifications
- CNCF graduated project
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, hosting, customers
What Prometheus's own pages state, read September 28, 2026: prometheus.io, prometheus.io/docs/operating/security, prometheus.io/docs/operating/integrations. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Prometheus's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Prometheus, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Prometheus by email, built from the raw record of the edition. It shows:
- where Prometheus is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Prometheus, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.