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Index › Products › Amazon Redshift · October 2026 Edition
Amazon · 3 categories · Ranked

Amazon Redshift

229Judge labels
10First choices
46Negative labels
14 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
12% in Data warehouses for enterprise buyers
Rank 3 of 26 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 16% of its 80 labels there were negative.
What the models named instead of Amazon Redshift →
By buyer segmentRead the same way at every buyer size.
Small business4 of 49
5%72 labels
criticized challenger
Mid-market3 of 26
2%80 labels
accepted challenger
Enterprise3 of 42
12%73 labels
accepted challenger
In data warehouses · 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 Redshift 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Data warehousesData platform2%3 of 2616%80accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Data masking and test data managementData platform0%87 of 1400%1under 10 labels · led by DATPROF at 17%
Telemetry pipelinesIT operations and endpoint0%78 of 1240%1under 10 labels · led by OpenTelemetry Collector at 37%

Movement

Since September 2026, Amazon Redshift held within the floor in all three categories: no change cleared 11 points.

Best category · Data warehouses · by segment

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 3 → 4 of 46
Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 7 → 3 of 25
Enterprise▼−3Since September 2026: 15% → 12%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
12%from 15% in September 2026
Inside the floor by 8 pointsRank 2 → 3 of 37

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Data warehouses0%2%▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 7 → 3 of 26
Data masking0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 87 of 140, unchanged
Telemetry pipelines0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 78 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 Redshift across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.503216
GPT-5.4 mini03407
Gemini 3.5 Flash03216
Perplexity Sonar02013
Grok 4.2004116
Mistral Small03216
DeepSeek V4 Flash05016
Llama 4 Maverick00415
Qwen 3.7 Flash12317
Kimi K204116
GLM 4.7 FlashX03216
MiniMax M2.504116
GPT-6 Luna03216
Muse Glimmer 30B05016

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
Direct40 labels1
Paraphrase33 labels1
Comparative40 labelsNone
Budget-constrained39 labels7
Scale-constrained35 labels1
Negative42 labelsNone
First choiceAlternativeMentionNegative229 labels in all, every segment counted; 10 of the 10 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.

“Google BigQuery and Amazon Redshift are typically the most budget-friendly options” Qwen 3.7 Flash · Data warehouses · budget prompt · first choice
“If you are AWS-native with steady, high-concurrency reporting workloads, Redshift / Redshift Serverless gives predictable provisioned throughput.” Muse Glimmer 30B · Data warehouses · paraphrase prompt · alternative
“Amazon Redshift Serverless has closed the gap significantly, but historically, traditional Redshift required more hands-on optimization.” Gemini 3.5 Flash · Data warehouses · scale prompt · alternative
“if your company is heavily invested in the AWS ecosystem and has predictable workloads, Amazon Redshift could be more cost-effective” GLM 4.7 FlashX · Data warehouses · direct 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.

“Why avoid it: In a provisioned Redshift environment, you pay for the nodes 24/7 regardless of whether you are querying them.” Gemini 3.5 Flash · Data warehouses · negative prompt · hard negative
“Most frequent cautions: Highest complexity for optimization/maintenance... Avoid if: Non-AWS shop, small team, or need serverless ease.” Grok 4.20 · Data warehouses · negative prompt · soft negative
“single-cloud options such as BigQuery on GCP and Redshift on AWS, are the ones practitioners most often advise to evaluate carefully” Muse Glimmer 30B · Data warehouses · negative prompt · soft negative
“AWS documents storage limits at low RPU settings and notes that wide tables or higher concurrency can need more capacity.” GPT-6 Luna · Data warehouses · negative prompt · soft negative

Named alongside

The products named in the same answers as Amazon Redshift, over the 227 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon Redshift was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Google BigQuery222 of 22777Compare →
Snowflake216 of 22774Compare →
Databricks SQL118 of 2271Not among the top eight
Azure Synapse Analytics78 of 2271Not among the top eight
ClickHouse Cloud67 of 2271Compare →
Microsoft Fabric Data Warehouse49 of 2271Not among the top eight
MotherDuck35 of 2276Not among the top eight
Teradata Vantage14 of 2270Not among the top eight
DuckDB13 of 2271Not among the top eight
PostgreSQL12 of 2271Not among the top eight
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 Redshift. 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 198 of the 227 answers that named Amazon Redshift and are not a share of its labels.

Domains cited

ovaledge.com118
clickhouse.com98
fortegrp.com98
fivetran.com67
atlan.com61
motherduck.com59
double.cloud45
airbyte.com38
scnsoft.com38
cloud.google.com37

659 of the 659 domain citations in answers naming Amazon Redshift came from somebody else's page.

Pages cited

ovaledge.com/blog/cloud-data-warehouse-solutions117
fortegrp.com/insights/best-cloud-data-warehouse98
clickhouse.com/resources/engineering/top-5-cloud-data-warehouses77
atlan.com/best-cloud-data-warehouses61
fivetran.com/learn/data-warehouse-tools58
double.cloud/blog/posts/2024/09/cloud-data-warehouse-solutions43
clickhouse.com/blog/cloud-data-warehouses-cost-performance-comparison37
airbyte.com/top-etl-tools-for-sources/best-cloud-data-warehouses34

Pages are listed as the models cited them.

Search and answers

aws.amazon.com is not in Google's top ten for any of the category's searches. In the answers, Amazon Redshift takes 2% of first choices and Snowflake takes 49%.
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In search

Google, US estimates
Position for “cloud data warehouse”
–
not in the top ten
Position for “cloud data warehouses”
–
not in the top ten
Searches for its name, Google
8,100 a month (“amazon redshift”)
AI search demand for its name, est.
319 a month
Organic visits to its site
about 9,238,321 a month
Searches its site ranks for
150,884 · 37,235 in the top three
Sites linking to it
282,981
Paid Google search
22 searches its ads show for, about 942 clicks and $20,476 a month (estimate)
Ads on Google
None found in Google's ad transparency records for the US

In answers

This edition
Share of first choices
2%
rank 3 of 26 in data warehouses
Segment leader
49%
Snowflake
First choices
10 across its categories
Named in
227 answers
Its own site cited
in 198 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

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Addresses on aws.amazon.com
280,316
subdomains included
Content
42,799
counted in the table below
Documentation
2,345
Product · Integration
3,213 · 49,021
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog27,117undatedAPI gateways, ETL
Glossary or explainer6,521undatedETL, MFA
Case study2,47602019-03-01WAF, Observability
Webinar or virtual event2,057162026-07-01Streaming, API gateways
Comparison1,52102025-09-01Object storage, ETL
Conference or event1,48202025-11-01Vector databases
Report or ebook1,090162026-09-01WAF, NoSQL
Podcast or video351undatedETL
Template or tool15002025-05-01
News or press34undated

Most recent

Events in person

Last twelve months

As the event pages on aws.amazon.com state them, read September 28, 2026.

How it is countedHide how it is counted

Every page aws.amazon.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. Of its titles that name a category, most name ETL (168); 0 name its categories the models place it in. 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 28, 2026.

Names read as Amazon Redshift

What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon Redshift; a claim can dispute any of them.
Redshift 21Redshift Serverless 7Amazon Redshift Serverless 6Redshift (AWS) 3AWS Redshift 1

Follow Amazon Redshift

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 Redshift.
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In its own words

Stated by the vendor, not checked
Customers named
Moments LabMarch NetworksPreciselyIndeedZeta GlobalPendulumGeorgia-PacificSysco
Not stated on the pages read
Positioning, who it is for, price, starting price, free plan or trial, integrations, certifications, hosting

What Amazon Redshift's own pages state, read September 28, 2026: aws.amazon.com, aws.amazon.com/pricing, aws.amazon.com/security, aws.amazon.com/products, aws.amazon.com/s3/customers. 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 Redshift'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 Redshift, 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 Redshift by email, built from the raw record of the edition. It shows:

  • where Amazon Redshift 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 Redshift, 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.
The subscriber app

A verification link goes to your work email; an address at aws.amazon.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.

Badges

Wins only: a badge exists where Amazon Redshift is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
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Amazon Redshift is among the products AI models recommend first in Data warehouses 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
Among AI models' top three in Data warehouses, October 2026 Edition, IT AI Recommendation Index
Show the code
<a href="https://it-ai-index.com/it-data/data-warehouses/"><img src="https://it-ai-index.com/badges/2026-10/amazon-redshift--data-warehouses-wide.svg" alt="Among AI models' top three in Data warehouses, October 2026 Edition, IT AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Data warehouses standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
Among AI models' top three in Data warehouses, October 2026 Edition, IT AI Recommendation Index
Show the code
<a href="https://it-ai-index.com/it-data/data-warehouses/"><img src="https://it-ai-index.com/badges/2026-10/amazon-redshift--data-warehouses-square.svg" alt="Among AI models' top three in Data warehouses, October 2026 Edition, IT AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Data warehouses standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
Among AI models' top three in Data warehouses, October 2026 Edition, IT AI Recommendation Index
Show the code
<a href="https://it-ai-index.com/it-data/data-warehouses/"><img src="https://it-ai-index.com/badges/2026-10/amazon-redshift--data-warehouses-compact.svg" alt="Among AI models' top three in Data warehouses, October 2026 Edition, IT AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Data warehouses standing, where the claim can be checked.

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.