Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 55 → 67 of 70
Google Cloud · 1 category · RankedGoogle Cloud Spanner
30Judge labels
0First choices
10Negative labels
10 / 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
0% in Managed databases for mid-market buyers
Rank 57 of 82 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 42% of its 12 labels there were negative.
What the models named instead of Google Cloud Spanner →By buyer segmentRead the same way at every buyer size.
Small business71 of 74
0%2 labels
under the label threshold
Mid-market57 of 82
0%12 labels
criticized challenger
Enterprise16 of 92
0%13 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 Spanner 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 | 0% | 57 of 82 | 42% | 12 | criticized challenger | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Google Cloud Spanner held within the floor in its one category: no change cleared 11 points.
Best category · Managed databases · by segment
Mid-market▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 11 → 33 of 72
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 10 → 15 of 81
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Managed databases | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 11 → 57 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 Spanner 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 Spanner 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 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 1 | 3 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 1 | 2 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 1 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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
Direct2 labelsNone
Paraphrase1 labelNone
Comparative13 labels1not counted in share
Budget-constrained1 labelNone
Scale-constrained2 labelsNone
Negative11 labelsNone
First choiceAlternativeMentionNegative30 labels in all, every segment counted; 0 of the 1 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 Big Cloud Native Route (AWS RDS/Aurora, Cloud SQL): Best if your entire infrastructure is already inside AWS or GCP” Gemini 3.5 Flash · Managed databases · scale prompt · alternative
“Globally distributed, strongly-consistent relational workload | Google Cloud Spanner” GLM 4.7 FlashX · Managed databases · comparative prompt · alternative
“Go with CockroachDB Cloud (multi-cloud) or Google Cloud Spanner (GCP).” Gemini 3.5 Flash · Managed databases · comparative prompt · alternative
“Choose Spanner for global scale and strong consistency.” GPT-5.4 mini · Managed databases · comparative prompt · alternative
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.
“Do not use these if your app only needs a single-region database.” Qwen 3.7 Flash · Managed databases · negative prompt · hard negative
“it requires you to structure your database schemas... If you want to move to another cloud provider, your schema will require a major overhaul.” Gemini 3.5 Flash · Managed databases · negative prompt · soft negative
“Proprietary database engines (Aurora, Cosmos DB, Spanner) - highest lock-in risk” Kimi K2 · Managed databases · negative prompt · soft negative
“proprietary services like Spanner or CockroachDB increase lock-in” DeepSeek V4 Flash · Managed databases · scale prompt · soft negative
Named alongside
The products named in the same answers as Google Cloud Spanner, over the 30 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Cloud Spanner was named but was not.ShowHide
Named alongside
The products named in the same answers as Google Cloud Spanner, over the 30 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Cloud Spanner 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 Spanner. 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 27 of the 30 answers that named Google Cloud Spanner and are not a share of its labels.
Domains cited
g2.com14
learn.microsoft.com12
digitalocean.com10
aws.amazon.com9
northflank.com9
cloud.google.com8
it-ai-index.com8
tech-insider.org8
oracle.com7
cloudinsight.cc6
Ninety-one of the ninety-one domain citations in answers naming Google Cloud Spanner came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
google.dev is not in Google's top ten for any of the category's searches. In the answers, Google Cloud Spanner takes 0% of first choices and Amazon RDS takes 45%.ShowHide
Search and answers
google.dev is not in Google's top ten for any of the category's searches. In the answers, Google Cloud Spanner takes 0% 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
- 390 a month (“google cloud spanner”)
- AI search demand for its name, est.
- 7 a month
- Organic visits to its site
- about 881,346 a month
- Searches its site ranks for
- 22,650 · 2,977 in the top three
- Sites linking to it
- 29,239
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 57 of 82 in managed databases
Segment leader
45%
Amazon RDS
- First choices
- 0 across its categories
- Named in
- 30 answers
- Its own site cited
- in 27 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.
Names read as Google Cloud Spanner
What the judge wrote, as written, with how often. The vendor table decides that these count as Google Cloud Spanner; a claim can dispute any of them.
Cloud Spanner 3Spanner 2Google Cloud SQL/Spanner 1
Follow Google Cloud Spanner
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 Spanner.ShowHide
The company
Google Cloud is the company behind Google Cloud Spanner.
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 Spanner'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 Spanner, 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 Spanner by email, built from the raw record of the edition. It shows:
- where Google Cloud Spanner 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 Spanner, 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.