2 categories · RankedTimescaleDB
TimescaleDB is a time series database from TigerData, used for telemetry pipelines and other time series workloads · tigerdata.com ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Ranked first. Next is InfluxDB at 16%.
Ranked first. Next is InfluxDB at 13%. 11 of 14 models made it the first choice when asked directly.
Ranked first. Next is InfluxDB at 14%.
Why models recommend it
“IoT / high-volume sensor data: Use TimescaleDB (Postgres extension) — it supports full SQL, handles high cardinality gracefully”DeepSeek V4 Flash · Negative question · first choice
“For most mid-market B2B companies, TimescaleDB (or a managed Timescale Cloud) is the best balance of cost, simplicity, and power.”GLM 4.7 FlashX · Direct question · first choice
“the best time series database is TimescaleDB. It is the clear leader in adoption and recommendation for mid-market organizations”Mistral Small · Direct question · first choice
“Start with TimescaleDB if you need relational data and SQL, or InfluxDB if you're purely focused on metrics and sensor data”Mistral Small · Paraphrase question · first choice
What gives them pause
“avoid both InfluxDB and TimescaleDB if your time-series data has a natural transactional relationship with other data”Claude Haiku 4.5 · Negative question · warning
“Caution: TimescaleDB is an excellent PostgreSQL extension for time-series, but it has specific architectural boundaries”Gemini 3.5 Flash · Negative question · warning
“Be Cautious regarding Write Throughput: TimescaleDB ... may struggle to keep up without aggressive tuning”Qwen 3.7 Flash · Negative question · warning
“Users report query times of 10+ seconds for portfolio history queries”MiniMax M2.5 · Negative question · warning
Also on the shortlist
The products named in the same answers as TimescaleDB, over the 219 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 201 | 23 | Compare → | |
| 138 | 16 | Compare → | |
| 135 | 1 | Compare → | |
| 123 | 3 | View → | |
| 120 | 4 | Compare → | |
| 71 | 0 | View → | |
| 35 | 0 | View → | |
| 29 | 0 | View → | |
| 29 | 0 | View → | |
| 28 | 0 | View → |
What the models named instead of TimescaleDB →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on TimescaleDB's own site, not checked by Gane.
- For
- sensor and machine data
- Price stated
- free
- Free plan or trial
- Start a free trial
- Certifications
- SOC 2 Type II, HIPAA
- Hosting
- AWS, Azure
- Customers named
- Fluke, Flogistix, Takton, Axpo, Speedcast, Replicated, Vessel, Julep
How this is measured
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 →Sources returned with these answers
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 175 of the 219 answers that named TimescaleDB and are not a share of its labels.
Domains cited
487 of the 650 domain citations in answers naming TimescaleDB came from a third party's page. Forty-six were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 2 | 1 | 1 | 6 |
| GPT-5.4 mini | 2 | 1 | 1 | 0 | 4 |
| Gemini 3.5 Flash | 3 | 1 | 1 | 1 | 6 |
| Perplexity Sonar | 4 | 0 | 0 | 0 | 4 |
| Grok 4.20 | 3 | 3 | 1 | 0 | 7 |
| Mistral Small | 4 | 1 | 0 | 0 | 5 |
| DeepSeek V4 Flash | 3 | 3 | 0 | 0 | 6 |
| Llama 4 Maverick | 2 | 0 | 3 | 0 | 5 |
| Qwen 3.7 Flash | 3 | 2 | 1 | 1 | 7 |
| Kimi K2 | 1 | 4 | 0 | 0 | 5 |
| GLM 4.7 FlashX | 1 | 1 | 3 | 0 | 5 |
| MiniMax M2.5 | 3 | 0 | 2 | 1 | 6 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 1 | 2 | 1 | 0 | 4 |
What it publishes
| 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.