Small business▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 2% in September 2026
Inside the floor by 9 pointsRank 6 of 34, unchanged
Amazon · 4 categories · RankedAmazon S3
216Judge labels
30First choices
79Negative 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
44% in Object storage for enterprise buyers
Rank 3 of 51 in the mid-market standingcriticized challenger
3 of 14 models made it the first choice on the direct prompt; 34% of its 67 labels there were negative.
What the models named instead of Amazon S3 →By buyer segmentStrongest at enterprise.
Small business5 of 43
5%66 labels
criticized challenger
Mid-market3 of 51
12%67 labels
criticized challenger
Enterprise1 of 56
44%63 labels
criticized default
In object storage · 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 Amazon S3 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 |
|---|---|---|---|---|---|---|---|
| Object storage | Cloud and infrastructure | 12% | 3 of 51 | 34% | 67 | criticized challenger | ▼−7Since September 2026: 15% → 9%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Backup and disaster recovery | Cloud and infrastructure | 0% | 26 of 116 | 0% | 6 | under 10 labels · led by Veeam Data Platform at 38% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Enterprise storage systems | Cloud and infrastructure | 0% | 131 of 167 | 50% | 2 | under 10 labels · led by Dell PowerStore at 16% | |
| Telemetry pipelines | IT operations and endpoint | 0% | 40 of 124 | 0% | 2 | under 10 labels · led by OpenTelemetry Collector at 37% |
Movement
Since September 2026, Amazon S3 held within the floor in all four categories: no change cleared 11 points.
Best category · Object storage · by segment
Mid-market▼−7Since September 2026: 15% → 9%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
9%from 15% in September 2026
Inside the floor by 4 pointsRank 3 → 4 of 46
Enterprise▲+14Since September 2026: 30% → 44%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.
44%from 30% in September 2026
Cleared the floor by 3 pointsRank 1 of 46, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Object storage | 15% | 9% | ▼−7Since September 2026: 15% → 9%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 of 51, unchanged |
| Backup and DR | 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 77 → 26 of 116 |
| Enterprise storage | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 131 of 167, unchanged |
| Telemetry pipelines | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 40 of 124, 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 Amazon S3 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 Amazon S3 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 | 4 | 0 | 4 |
| GPT-5.4 mini | 2 | 1 | 1 | 0 | 4 |
| Gemini 3.5 Flash | 1 | 1 | 1 | 5 | 8 |
| Perplexity Sonar | 1 | 2 | 0 | 0 | 3 |
| Grok 4.20 | 1 | 0 | 1 | 4 | 6 |
| Mistral Small | 1 | 1 | 2 | 1 | 5 |
| DeepSeek V4 Flash | 2 | 2 | 2 | 1 | 7 |
| Llama 4 Maverick | 0 | 0 | 2 | 2 | 4 |
| Qwen 3.7 Flash | 2 | 0 | 0 | 4 | 6 |
| Kimi K2 | 2 | 2 | 0 | 3 | 7 |
| GLM 4.7 FlashX | 1 | 1 | 3 | 1 | 6 |
| MiniMax M2.5 | 2 | 0 | 3 | 1 | 6 |
| GPT-6 Luna | 2 | 1 | 1 | 1 | 5 |
| Muse Glimmer 30B | 1 | 2 | 2 | 1 | 6 |
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
Direct39 labels14
Paraphrase35 labels11
Comparative41 labels22not counted in share
Budget-constrained33 labels1
Scale-constrained28 labels4
Negative40 labels2not counted in share
First choiceAlternativeMentionNegative216 labels in all, every segment counted; 30 of the 54 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.
“Best for: Enterprise workloads, S3-native applications... AWS S3, Azure Blob, and GCS offer the most comprehensive feature sets” GLM 4.7 FlashX · Object storage · comparative prompt · first choice
“If you want one answer without more context: choose Amazon S3 unless your company is already standardized on Azure or GCP.” GPT-5.4 mini · Object storage · direct prompt · first choice
“The industry standard. Most third-party tools default to S3 compatibility because it has the largest ecosystem” Qwen 3.7 Flash · Object storage · comparative prompt · first choice
“Most mature and widely adopted object storage service... Choose AWS S3 if you need maximum compatibility” Kimi K2 · Object storage · comparative 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 hyperscalers (AWS/GCP/Azure) on tight budgets due to egress/API add-ons.” Grok 4.20 · Object storage · budget prompt · hard negative
“Traditional hyperscalers like AWS S3 are incredibly powerful but often punish growing mid-sized companies with unpredictable API transaction fees and steep "egress taxes"” Gemini 3.5 Flash · Object storage · paraphrase prompt · soft negative
“Be cautious if… You're comparing only the per-GB storage price. Requests, retrievals, transfers, replication, and archive-tier rules can also affect the bill” GPT-6 Luna · Object storage · negative prompt · soft negative
“giant hyperscalers like AWS S3 or Google Cloud Storage ... are notorious budget-killers because of their complex API pricing and expensive egress” Gemini 3.5 Flash · Object storage · budget prompt · soft negative
Named alongside
The products named in the same answers as Amazon S3, over the 215 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon S3 was named but was not.ShowHide
Named alongside
The products named in the same answers as Amazon S3, over the 215 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon S3 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 Amazon S3. 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 191 of the 215 answers that named Amazon S3 and are not a share of its labels.
Domains cited
digitalocean.com85
solved.scality.com83
backblaze.com71
g2.com58
github.com58
cloudian.com55
geekflare.com47
mixpeek.com43
sourceforge.net38
enterprisestorageforum.com35
573 of the 573 domain citations in answers naming Amazon S3 came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Amazon S3 stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Amazon S3 stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 9,900 a month (“amazon s3”)
- AI search demand for its name, est.
- 813 a month
- Its own site
- It sits on Amazon's site (amazon.com), so there are no site figures for it alone
In answers
This editionShare of first choices
12%
rank 3 of 51 in object storage
Segment leader
46%
Backblaze B2
- First choices
- 30 across its categories
- Named in
- 215 answers
- Its own site cited
- in 191 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 Amazon S3
What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon S3; a claim can dispute any of them.
AWS S3 38Amazon S3 (Simple Storage Service) 4AWS 3Amazon S3 (AWS) 3AWS Backup + Amazon S3 1AWS S3 / Cloudflare R2 1AWS S3 Glacier Instant Retrieval 1AWS S3 Standard 1Amazon S3 (especially Glacier) 1Amazon Simple Storage Service (Amazon S3) 1S3/MinIO 1
Follow Amazon S3
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
Amazon is the company behind Amazon S3.ShowHide
The company
Amazon is the company behind Amazon S3.
ShowHideOn record
Company records- Also from Amazon
- Amazon API Gateway, Amazon API Gateway HTTP APIs, Amazon AppStream 2.0, Amazon Athena, Amazon Athena Federated Query, Amazon Aurora, Amazon Aurora Serverless, Amazon Bedrock and 46 more
In its own words
Stated by the vendor, not checked- Positioning
- Object storage built to retrieve any amount of data from anywhere
- For
- Millions of customers of all sizes and industries
- Price stated
- pay only for what you use aws.amazon.com/s3
- Free plan or trial
- AWS Free Tier aws.amazon.com/s3
- Customers named
- The BBCAdobeIndeedGE HealthCareTwelveLabsGrendene
- Not stated on the pages read
- Starting price, integrations, certifications, hosting
What Amazon S3's own pages state, read October 5, 2026: aws.amazon.com/s3. 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 Amazon S3'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 Amazon S3, 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 Amazon S3 by email, built from the raw record of the edition. It shows:
- where Amazon S3 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 Amazon S3, 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 Amazon S3 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 Amazon S3 is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideAmazon S3 is among the products AI models recommend first in Object storage 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.