“Qdrant, Milvus, Zilliz, or Redis for unified cache + vector + operational data”Muse Glimmer 30B · Scale-constrained question · alternative
“Vector search in Redis resides heavily in-memory (RAM), making multi-gigabyte/terabyte vector datasets disproportionately expensive”Gemini 3.5 Flash · Negative question · warning
“Redis if you’re pushing tens/hundreds of millions of vectors and your RAM costs are climbing.”GLM 4.7 FlashX · Negative question · warning
The products named in the same answers as Redis Vector Search, over the 24 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 22 | 6 | View → | |
| 20 | 5 | View → | |
| 20 | 4 | View → | |
| 20 | 1 | View → | |
| 18 | 0 | View → | |
| 16 | 0 | View → | |
| 10 | 0 | View → | |
| 9 | 1 | View → | |
| 8 | 0 | View → | |
| 7 | 2 | View → |
What the models named instead of Redis Vector Search →
A side-by-side page exists where both products are among a category's top eight.
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 17 of the 24 answers that named Redis Vector Search and are not a share of its labels.
Forty-two of the forty-nine domain citations in answers naming Redis Vector Search came from a third party's page.
Pages are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 1 | 2 |
| 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 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 3 | 0 | 3 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 1,114 | undated | |||
| Conference or event | 156 | undated | |||
| News or press | 148 | undated | Cloud hosting | ||
| Podcast or video | 135 | 1 | 2026-09-25 | ||
| Glossary or explainer | 82 | undated | |||
| Template or tool | 80 | 1 | 2026-07-20 | ||
| Comparison | 68 | undated | |||
| Case study | 58 | undated | |||
| Webinar or virtual event | 13 | undated | |||
| Report or ebook | 9 | undated |
As the event pages on redis.io state them, read September 28, 2026.
Every page redis.io 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.