| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data warehouses | Data platform | 2% | 4 of 26 | 12% | 25 | accepted challenger | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Time series databases | Data platform | 0% | 10 of 66 | 5% | 41 | accepted challenger | |
| Telemetry pipelines | IT operations and endpoint | 0% | 24 of 124 | 0% | 6 | under 10 labels · led by OpenTelemetry Collector at 37% | |
| Infrastructure monitoring | IT operations and endpoint | 0% | 28 of 79 | 0% | 2 | under 10 labels · led by Datadog at 28% | newNew since September 2026: not ranked then, 0% now. |
| Data virtualization | Data platform | 0% | 32 of 99 | 0% | 1 | under 10 labels · led by Denodo at 28% | |
| Log management | IT operations and endpoint | 0% | 44 of 73 | 0% | 1 | under 10 labels · led by Datadog Log Management at 28% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Data warehouses | 2% | 2% | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 → 4 of 26 |
| Time series DBs | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 10 of 66, unchanged |
| Telemetry pipelines | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 24 of 124, unchanged |
| Infra monitoring | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 28 of 79, unchanged |
| Data virtualization | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 32 of 99, unchanged |
| Logs | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 44 of 73, 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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 1 | 1 | 3 |
| GPT-5.4 mini | 0 | 3 | 1 | 1 | 5 |
| Gemini 3.5 Flash | 0 | 8 | 0 | 0 | 8 |
| Perplexity Sonar | 0 | 5 | 0 | 0 | 5 |
| Grok 4.20 | 0 | 4 | 5 | 0 | 9 |
| Mistral Small | 0 | 1 | 1 | 1 | 3 |
| DeepSeek V4 Flash | 0 | 5 | 4 | 0 | 9 |
| Llama 4 Maverick | 0 | 0 | 7 | 0 | 7 |
| Qwen 3.7 Flash | 0 | 3 | 0 | 0 | 3 |
| Kimi K2 | 0 | 3 | 2 | 0 | 5 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 2 | 4 |
| MiniMax M2.5 | 0 | 3 | 2 | 0 | 5 |
| GPT-6 Luna | 0 | 4 | 0 | 0 | 4 |
| Muse Glimmer 30B | 0 | 2 | 4 | 0 | 6 |
Verbatim evidence the judge attached to positive labels.
“ClickHouse Cloud delivers the strongest overall cost-performance, with the lowest runtime × cost value.” Claude Haiku 4.5 · Data warehouses · budget prompt · first choice
“Massive-Scale Event Analytics & BI | ClickHouse | Technically an OLAP column store, but incredibly fast for high-volume time-series analytical queries” Gemini 3.5 Flash · Time series DBs · scale prompt · alternative
“You expect very large volumes and need broad, ad-hoc analytics across telemetry and other events: evaluate ClickHouse” GPT-6 Luna · Time series DBs · paraphrase prompt · alternative
“use Tempo or ClickHouse if you need traces but want to keep storage costs under control” Perplexity Sonar · Telemetry pipelines · budget 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.
“startups like ClickHouse, Tinybird, or MotherDuck are popular, they carry different risks than established giants” GLM 4.7 FlashX · Data warehouses · negative prompt · soft negative
“ClickHouse is not optimized for high-frequency append-only writes... lacks native time-series features” Claude Haiku 4.5 · Time series DBs · negative prompt · soft negative
“Not actually a TSDB; it's a column-oriented OLAP database that's often compared with TSDBs.” GPT-5.4 mini · Time series DBs · comparative prompt · soft negative
“worth evaluating but may not yet have the maturity of the top three” Mistral Small · Data warehouses · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 178 of the 200 answers that named ClickHouse Cloud and are not a share of its labels.
444 of the 549 domain citations in answers naming ClickHouse Cloud came from somebody else's page.
Pages are listed as the models cited them.
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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 1,014 | 97 | 2026-09-28 | Data warehouses | |
| Report or ebook | 655 | 0 | 2026-05-27 | ||
| Podcast or video | 463 | 20 | 2026-09-29 | Data warehouses, SIEM | |
| Conference or event | 208 | 5 | 2026-09-14 | ||
| Comparison | 58 | 2 | 2026-09-10 | ||
| Glossary or explainer | 40 | undated | |||
| Webinar or virtual event | 29 | 7 | 2026-09-10 | ||
| Template or tool | 27 | undated | |||
| News or press | 15 | 0 | 2024-05-23 | ||
| Case study | 2 | undated |
As the event pages on clickhouse.com state them, read September 28, 2026.
Every page clickhouse.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. 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.
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.
What ClickHouse Cloud's own pages state, read September 28, 2026: clickhouse.com, clickhouse.com/pricing, trust.clickhouse.com, clickhouse.com/use-cases/data-warehousing, clickhouse.com/partners. A claimed page can correct any of 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 ClickHouse Cloud'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 ClickHouse Cloud, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for ClickHouse Cloud by email, built from the raw record of the edition. It shows: