Small business▲+7Since September 2026: 11% → 18%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
18%from 11% in September 2026
Inside the floor by 4 pointsRank 5 → 3 of 70
Google Cloud · 1 category · RankedGoogle Cloud SQL
186Judge labels
22First choices
27Negative labels
14 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
16% in Managed databases for small business buyers
Rank 3 of 82 in the mid-market standingaccepted challenger
2 of 14 models made it the first choice on the direct prompt; 12% of its 66 labels there were negative.
What the models named instead of Google Cloud SQL →By buyer segmentRead the same way at every buyer size.
Small business3 of 74
16%64 labels
accepted challenger
Mid-market3 of 82
10%66 labels
accepted challenger
Enterprise4 of 92
9%54 labels
accepted challenger
In managed databases · 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 Google Cloud SQL 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 |
|---|---|---|---|---|---|---|---|
| Managed relational databases | Data platform | 10% | 3 of 82 | 12% | 66 | accepted challenger | ▼−1Since September 2026: 11% → 10%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Google Cloud SQL held within the floor in its one category: no change cleared 11 points.
Best category · Managed databases · by segment
Mid-market▼−1Since September 2026: 11% → 10%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
10%from 11% in September 2026
Inside the floor by 10 pointsRank 2 → 3 of 72
Enterprise▲+2Since September 2026: 8% → 9%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
9%from 8% in September 2026
Inside the floor by 9 pointsRank 4 of 81, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Managed databases | 11% | 10% | ▼−1Since September 2026: 11% → 10%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 3 of 82 |
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 Google Cloud SQL 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 Google Cloud SQL 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 | 2 | 2 | 1 | 6 |
| GPT-5.4 mini | 1 | 3 | 0 | 1 | 5 |
| Gemini 3.5 Flash | 0 | 2 | 2 | 1 | 5 |
| Perplexity Sonar | 1 | 2 | 2 | 1 | 6 |
| Grok 4.20 | 1 | 2 | 2 | 1 | 6 |
| Mistral Small | 0 | 2 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 4 | 1 | 0 | 5 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 4 | 0 | 5 |
| Kimi K2 | 0 | 4 | 0 | 1 | 5 |
| GLM 4.7 FlashX | 2 | 2 | 1 | 0 | 5 |
| MiniMax M2.5 | 0 | 3 | 1 | 0 | 4 |
| GPT-6 Luna | 0 | 2 | 1 | 1 | 4 |
| Muse Glimmer 30B | 1 | 3 | 0 | 1 | 5 |
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
Direct35 labels8
Paraphrase33 labels7
Comparative35 labels5not counted in share
Budget-constrained29 labels5
Scale-constrained28 labels2
Negative26 labelsNone
First choiceAlternativeMentionNegative186 labels in all, every segment counted; 22 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.
“I'd recommend considering Amazon RDS (Relational Database Service) or Google Cloud SQL as your primary options” GLM 4.7 FlashX · Managed databases · paraphrase prompt · first choice
“The top managed relational database services are Amazon RDS, Google Cloud SQL, Azure SQL Database” Perplexity Sonar · Managed databases · comparative prompt · first choice
“Amazon RDS or Google Cloud SQL offer the best balance of features, scalability, and reliability” Claude Haiku 4.5 · Managed databases · paraphrase prompt · first choice
“Start with Google Cloud SQL if prioritizing cost/performance for standard relational workloads” Grok 4.20 · Managed databases · 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.
“extended support is paid, and Cloud SQL automatically enrolls EOL-version instances. Check the exact engine version and upgrade dates before committing.” GPT-6 Luna · Managed databases · negative prompt · soft negative
“it has the same class of cautions as other DBaaS offerings: you should check pricing, scaling model, maintenance control...” Perplexity Sonar · Managed databases · negative prompt · soft negative
“Less ideal for global/multi-region strong consistency writes.<br>- Scaling not as elastic for extreme loads.” Grok 4.20 · Managed databases · negative prompt · soft negative
“are cautious with Google Cloud SQL for the same globally distributed transactional write pattern” Muse Glimmer 30B · Managed databases · negative prompt · soft negative
Named alongside
The products named in the same answers as Google Cloud SQL, over the 186 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Cloud SQL was named but was not.ShowHide
Named alongside
The products named in the same answers as Google Cloud SQL, over the 186 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Cloud SQL 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 Google Cloud SQL. 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 165 of the 186 answers that named Google Cloud SQL and are not a share of its labels.
Domains cited
g2.com88
it-ai-index.com86
digitalocean.com82
cloud.google.comYour site63
tech-insider.org63
northflank.com62
aws.amazon.com61
learn.microsoft.com58
sourceforge.net43
cloudinsight.cc40
583 of the 646 domain citations in answers naming Google Cloud SQL came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
cloud.google.com is not in Google's top ten for any of the category's searches. In the answers, Google Cloud SQL takes 10% of first choices and Amazon RDS takes 45%.ShowHide
Search and answers
cloud.google.com is not in Google's top ten for any of the category's searches. In the answers, Google Cloud SQL takes 10% of first choices and Amazon RDS takes 45%.
ShowHideIn search
Google, US estimatesPosition for “managed relational database service”
–
not in the top ten
Position for “managed relational database services”
–
not in the top ten
- Searches for its name, Google
- 1,300 a month (“google cloud sql”)
- AI search demand for its name, est.
- 80 a month
- Organic visits to its site
- about 7,405,347 a month
- Searches its site ranks for
- 70,320 · 16,032 in the top three
- Sites linking to it
- 201,334
- 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
10%
rank 3 of 82 in managed databases
Segment leader
45%
Amazon RDS
- First choices
- 22 across its categories
- Named in
- 186 answers
- Its own site cited
- in 165 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 cloud.google.com
79
subdomains included
Content
67
counted in the table below
Documentation
6
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 37 | 14 | 2026-09-28 | API management | |
| Case study | 19 | undated | |||
| Conference or event | 4 | undated | |||
| Report or ebook | 2 | undated | |||
| Glossary or explainer | 2 | undated | |||
| Webinar or virtual event | 1 | undated | |||
| Template or tool | 1 | undated | |||
| News or press | 1 | undated |
Most recent
- 2026-09-28Storage optimized z4d vm and bare metal instances blog
- 2026-09-28Accelerate geospatial coding with ai in google earth engine blog
- 2026-09-25Storage intelligence advisor and batch operations updates blog
- 2026-09-25Memorystore for valkey 9 1 3x qps caching blog
- 2026-09-252026 gartner magic quadrant for container management blog
- 2026-09-24Gemini 3 8 live with live avatar is now generally available blog
How it is countedHide how it is counted
Every page cloud.google.com 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. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Names read as Google Cloud SQL
What the judge wrote, as written, with how often. The vendor table decides that these count as Google Cloud SQL; a claim can dispute any of them.
Cloud SQL 8Cloud SQL for PostgreSQL 3GCP Cloud SQL 1Google Cloud SQL (GCP) 1Google Cloud SQL (or AlloyDB) 1Google Cloud SQL for PostgreSQL 1Google Cloud SQL/Spanner 1
Follow Google Cloud SQL
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
Google Cloud is the company behind Google Cloud SQL.ShowHide
The company
Google Cloud is the company behind Google Cloud SQL.
ShowHideOn record
Company records- Also from Google Cloud
- Google 2-Step Verification, Google Alerts, Google AlloyDB for PostgreSQL, Google Analytics, Google Antigravity, Google Artifact Registry, Google AutoML, Google BigQuery ML and 84 more
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 Google Cloud SQL'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 Google Cloud SQL, 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 Google Cloud SQL by email, built from the raw record of the edition. It shows:
- where Google Cloud SQL 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 Google Cloud SQL, 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 Google Cloud SQL 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 Google Cloud SQL is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideGoogle Cloud SQL is among the products AI models recommend first in Managed relational databases 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.