Small business▲+10Since September 2026: 2% → 12%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
12%from 2% in September 2026
Inside the floor by 1 pointRank 5 → 2 of 47
SonarQube
196Judge labels
24First choices
32Negative labels
14 / 14Models named it
4Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
22% in SAST for mid-market buyers
Rank 2 of 71 in the mid-market standingaccepted challenger
3 of 14 models made it the first choice on the direct prompt; 18% of its 62 labels there were negative.
What the models named instead of SonarQube →By buyer segmentStrongest at mid-market.
Small business2 of 51
14%70 labels
accepted challenger
Mid-market2 of 71
22%62 labels
accepted challenger
Enterprise3 of 45
9%45 labels
criticized challenger
In sast · 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 SonarQube 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 |
|---|---|---|---|---|---|---|---|
| Static application security testing | Developer platform | 22% | 2 of 71 | 18% | 62 | accepted challenger | ▲+1Since September 2026: 22% → 23%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Application security posture management | Developer platform | 0% | 27 of 70 | 0% | 4 | under 10 labels · led by Aikido Security at 37% | |
| Secure code training | Developer platform | 0% | 63 of 97 | 0% | 1 | under 10 labels · led by SecureFlag at 26% | |
| Software composition analysis | Developer platform | 0% | 32 of 50 | 0% | 1 | under 10 labels · led by Trivy at 31% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, SonarQube held within the floor in all four categories: no change cleared 11 points.
Best category · SAST · by segment
Mid-market▲+1Since September 2026: 22% → 23%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
23%from 22% in September 2026
Inside the floor by 10 pointsRank 2 of 65, unchanged
Enterprise=heldSince September 2026: 10% → 10%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
10%from 10% in September 2026
Inside the floor by 11 pointsRank 3 of 42, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| SAST | 22% | 23% | ▲+1Since September 2026: 22% → 23%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 of 71, unchanged |
| ASPM | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 27 of 70, unchanged |
| Secure code training | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 63 of 97, unchanged |
| SCA | 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 43 → 32 of 50 |
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 SonarQube 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 SonarQube 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 | 1 | 3 | 2 | 1 | 7 |
| GPT-5.4 mini | 0 | 2 | 0 | 1 | 3 |
| Gemini 3.5 Flash | 0 | 3 | 2 | 0 | 5 |
| Perplexity Sonar | 2 | 0 | 1 | 0 | 3 |
| Grok 4.20 | 1 | 4 | 0 | 2 | 7 |
| Mistral Small | 0 | 2 | 2 | 1 | 5 |
| DeepSeek V4 Flash | 0 | 4 | 1 | 1 | 6 |
| Llama 4 Maverick | 1 | 0 | 2 | 0 | 3 |
| Qwen 3.7 Flash | 2 | 1 | 0 | 2 | 5 |
| Kimi K2 | 0 | 5 | 0 | 0 | 5 |
| GLM 4.7 FlashX | 2 | 1 | 2 | 0 | 5 |
| MiniMax M2.5 | 1 | 2 | 0 | 1 | 4 |
| GPT-6 Luna | 0 | 2 | 0 | 1 | 3 |
| Muse Glimmer 30B | 1 | 4 | 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
Direct25 labels5
Paraphrase32 labels10
Comparative43 labels2not counted in share
Budget-constrained42 labels8
Scale-constrained20 labels1
Negative34 labels1not counted in share
First choiceAlternativeMentionNegative196 labels in all, every segment counted; 24 of the 27 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.
“The best SAST tool for a company with a limited budget is Semgrep's free tier, SonarQube Community, Snyk Code's Team plan, or DeepSource.” Llama 4 Maverick · SAST · budget prompt · first choice
“The Best All-Around Choice: SonarQube (by SonarSource) This is the most balanced recommendation for most mid-sized companies.” Qwen 3.7 Flash · SAST · paraphrase prompt · first choice
“For many mid-sized B2B companies, SonarQube or Snyk offer good balance between cost, ease of use, and effectiveness.” Claude Haiku 4.5 · SAST · paraphrase prompt · first choice
“Best Overall Choice for Most Mid-Market Companies ... Start with a pilot of SonarQube (Cloud).” Qwen 3.7 Flash · SAST · direct 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.
“Noisiest out-of-box (40-60%+ FPs on Java/TS; OWASP F1-score ~27% in some evals)... avoid for security-only if you can't invest in config” Grok 4.20 · SAST · negative prompt · hard negative
“Tools originally designed for *general code quality* (like SpotBugs, SonarQube's default rules) are often very weak at security-specific detection” DeepSeek V4 Flash · SAST · negative prompt · soft negative
“A code-quality scanner treated as comprehensive security coverage... verify the actual security rules for your languages, frameworks, and edition.” GPT-6 Luna · SAST · negative prompt · soft negative
“The challenge with SonarQube is noise—it reports on everything, which can overwhelm teams and lead to alert fatigue.” Claude Haiku 4.5 · SAST · negative prompt · soft negative
Named alongside
The products named in the same answers as SonarQube, over the 189 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SonarQube was named but was not.ShowHide
Named alongside
The products named in the same answers as SonarQube, over the 189 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SonarQube 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 SonarQube. 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 164 of the 189 answers that named SonarQube and are not a share of its labels.
Domains cited
dev.to105
checkmarx.com99
appsecsanta.com84
aikido.dev63
safeguard.sh56
augmentcode.com52
codeant.ai50
zeropath.com45
opsera.ai38
corgea.com37
No domain is on file for SonarQube, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where SonarQube stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where SonarQube stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 14,800 a month (“sonarqube”)
- AI search demand for its name, est.
- 1,353 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This editionShare of first choices
22%
rank 2 of 71 in SAST
Segment leader
36%
Semgrep
- First choices
- 24 across its categories
- Named in
- 189 answers
- Its own site cited
- No site on file to match
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.
Names read as SonarQube
What the judge wrote, as written, with how often. The vendor table decides that these count as SonarQube; a claim can dispute any of them.
SonarQube Community Edition 5SonarQube (Community Edition) 4SonarQube / SonarCloud 3SonarQube Community 2SonarQube Community Build 2SonarCloud / SonarQube 1SonarQube (Cloud or Enterprise Edition) 1SonarQube (Cloud or Enterprise) 1SonarQube (Community Build) 1SonarQube (Developer/Team Edition) 1SonarQube (Sonar) 1SonarQube (by SonarSource) 1SonarQube Cloud 1SonarQube Community Edition (CE) 1SonarQube Community Edition / SonarCloud 1SonarQube Enterprise 1SonarQube/SonarCloud 1SonarQube/Source 1Sonarqube 1
Follow SonarQube
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.
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 SonarQube'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 SonarQube, 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 SonarQube by email, built from the raw record of the edition. It shows:
- where SonarQube 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 SonarQube, 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.
Badges
Wins only: a badge exists where SonarQube is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Wins only: a badge exists where SonarQube is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideSonarQube is among the products AI models recommend first in Static application security testing this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.