| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Data warehouses | Data platform | 0% | 7 of 41 | 24% | 62 | accepted challenger |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 2 | 2 | 1 | 5 |
| GPT-5.4 mini | 0 | 4 | 1 | 1 | 6 |
| Gemini 3.5 Flash | 0 | 2 | 1 | 3 | 6 |
| Perplexity Sonar | 0 | 2 | 1 | 1 | 4 |
| Grok 4.1 Fast | 0 | 5 | 0 | 1 | 6 |
| Mistral Small | 0 | 1 | 2 | 1 | 4 |
| DeepSeek V4 Flash | 0 | 2 | 1 | 3 | 6 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 4 | 0 | 1 | 5 |
| Kimi K2 | 0 | 6 | 0 | 1 | 7 |
| GLM 4.7 FlashX | 0 | 4 | 0 | 1 | 5 |
| MiniMax M2.5 | 0 | 3 | 2 | 1 | 6 |
Verbatim evidence the judge attached to positive labels.
“Offers a free tier for 2 months on DC2.large nodes, and their RA3 nodes with managed storage can be cost-effective for variable workloads.” Claude Haiku 4.5 · Data warehouses · budget prompt · alternative
“If your company is already heavily invested in the AWS ecosystem, Redshift is a strong alternative, though it can be more expensive” GLM 4.7 FlashX · Data warehouses · budget prompt · alternative
“Already deep in the AWS ecosystem... More operational overhead (maintenance, resizing clusters); concurrency can be a bottleneck” MiniMax M2.5 · Data warehouses · direct prompt · alternative
“Deep AWS shop with predictable workloads | Amazon Redshift | Cost-effective if you can commit to reserved capacity” Kimi K2 · Data warehouses · paraphrase prompt · alternative
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.
“provisioning (always-on) solutions like Redshift can quietly rack up bills when idle” DeepSeek V4 Flash · Data warehouses · budget prompt · hard negative
“provisioned Redshift is highly likely to become a slow, expensive bottleneck” Gemini 3.5 Flash · Data warehouses · negative prompt · hard negative
“Skip Redshift for new projects (particularly AI-heavy ones)” Claude Haiku 4.5 · Data warehouses · negative prompt · hard negative
“Many traditional data warehouses (like Snowflake or Amazon Redshift) are built on a "scale-out" architecture designed for petabyte-scale enterprises.” Gemini 3.5 Flash · Data warehouses · budget prompt · soft negative
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 148 of the 188 answers that named Amazon Redshift and are not a share of its labels.
454 of the 454 domain citations in answers naming Amazon Redshift came from somebody else's page.
Pages are listed as the models cited them.
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.
It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at aws.amazon.com is approved on the spot, any other address is reviewed by hand.
Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.