2 categories · RankedTimescaleDB
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Time series databases | Data platform | 63% | 1 of 66 | 3% | 70 | endorsed leader | |
| Telemetry pipelines | IT operations and endpoint | 0% | 39 of 124 | 0% | 3 | under 10 labels · led by OpenTelemetry Collector at 37% |
Movement
By model
How each model treated TimescaleDB across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 2 | 1 | 1 | 5 |
| GPT-5.4 mini | 3 | 0 | 1 | 0 | 4 |
| Gemini 3.5 Flash | 5 | 0 | 0 | 0 | 5 |
| Perplexity Sonar | 3 | 0 | 0 | 0 | 3 |
| Grok 4.20 | 4 | 1 | 1 | 0 | 6 |
| Mistral Small | 3 | 0 | 4 | 0 | 7 |
| DeepSeek V4 Flash | 2 | 2 | 1 | 1 | 6 |
| Llama 4 Maverick | 0 | 0 | 3 | 0 | 3 |
| Qwen 3.7 Flash | 3 | 1 | 2 | 0 | 6 |
| Kimi K2 | 2 | 4 | 0 | 0 | 6 |
| GLM 4.7 FlashX | 2 | 2 | 1 | 0 | 5 |
| MiniMax M2.5 | 3 | 1 | 2 | 0 | 6 |
| GPT-6 Luna | 3 | 2 | 0 | 0 | 5 |
| Muse Glimmer 30B | 5 | 1 | 0 | 0 | 6 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Recommendation for most mid-sized B2B: start with TimescaleDB/Tiger Data if you already use Postgres and need joins between telemetry and CRM/ERP/asset data” Muse Glimmer 30B · Time series DBs · paraphrase prompt · first choice
“For most small businesses and startups, TimescaleDB (if you want SQL simplicity) or VictoriaMetrics ... are the strongest budget-friendly choices.” DeepSeek V4 Flash · Time series DBs · budget prompt · first choice
“I'd recommend starting with TimescaleDB or InfluxDB Cloud due to their balance of features, ease of use, and managed options.” MiniMax M2.5 · Time series DBs · direct prompt · first choice
“the best default is TimescaleDB/Tiger Cloud because it balances time-series performance with general database flexibility” Perplexity Sonar · Time series DBs · paraphrase 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.
“TimescaleDB has lower raw write throughput compared to purpose-built engines like QuestDB for extreme ingest scenarios” Claude Haiku 4.5 · Time series DBs · negative prompt · soft negative
“Avoid for massive IoT write-heavy workloads.” DeepSeek V4 Flash · Time series DBs · negative prompt · soft negative
Named alongside
The products named in the same answers as TimescaleDB, over the 208 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and TimescaleDB was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 183 of the 208 answers that named TimescaleDB and are not a share of its labels.
Domains cited
716 of the 863 domain citations in answers naming TimescaleDB came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where TimescaleDB stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 3,600 a month (“timescaledb”)
- AI search demand for its name, est.
- 147 a month
- Organic visits to its site
- about 23,549 a month
- Searches its site ranks for
- 6,527 · 330 in the top three
- Sites linking to it
- 5,427
- Paid Google search
- 2 searches its ads show for, about 18 clicks and $658 a month (estimate)
In answers
This edition- Named in
- 208 answers
- Its own site cited
- in 183 of the answers that named it
Search figures are US estimates from DataForSEO, read October 5, 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
ShowHide
What it publishes
ShowHide| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 505 | 21 | 2026-09-28 | Vector databases, Observability | |
| Glossary or explainer | 250 | 5 | 2026-09-25 | Data warehouses | |
| Case study | 46 | undated | |||
| Comparison | 44 | 1 | 2026-08-26 | Vector databases | |
| Webinar or virtual event | 11 | 0 | 2020-04-30 | ||
| News or press | 4 | 1 | 2026-09-21 | ||
| Report or ebook | 2 | 0 | 2023-07-05 |
Most recent
- 2026-09-2841 experiments 6 days what human was for blog
- 2026-09-25Time series database high availability and disaster recovery glossary or explainer
- 2026-09-25Sizing your iiot table before you deploy blog
- 2026-09-21Changelog news or press
- 2026-09-18Grid modernization data platform glossary or explainer
- 2026-09-18Knowing when composite index earns write cost blog
How it is countedHide how it is counted
Every page tigerdata.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 vector databases (10); 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 29, 2026.
Names read as TimescaleDB
Follow TimescaleDB
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
TimescaleDB is its own company.ShowHide
The company
In its own words
Stated by the vendor, not checked- Positioning
- Time-series, real-time analytics and events on Postgres
- For
- sensor and machine data
- Price stated
- free tigerdata.com/pricing
- Free plan or trial
- Start a free trial tigerdata.com
- Certifications
- SOC 2 reportSOC 2 Type 2 reportHIPAA compliance100% PostgreSQL compatibleOpen source
- Hosting
- AWSAzure
- Customers named
- FlukeFlogistixTaktonAxpoSpeedcastReplicatedVesselJulep
- Not stated on the pages read
- Starting price, integrations
What TimescaleDB's own pages state, read October 5, 2026: tigerdata.com, tigerdata.com/pricing, tigerdata.com/security, tigerdata.com/case-studies, tigerdata.com/partners. A claimed page can correct any of them.
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 TimescaleDB'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 TimescaleDB, 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 TimescaleDB by email, built from the raw record of the edition. It shows:
- where TimescaleDB 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 TimescaleDB, 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 TimescaleDB 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
AI models recommend TimescaleDB first in Time series databases 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.
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.