TimescaleDB vs PostgreSQL
Twelve of fourteen models named TimescaleDB first on the direct prompt; zero named PostgreSQL. TimescaleDB was named by fourteen of the fourteen models and PostgreSQL by ten and TimescaleDB carries 70 labels and PostgreSQL 12, so the shares are not directly comparable.
Named in two categories this edition.
Named in six categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the time series databases page.
By framing
TimescaleDBFirst choices, of fourteen modelsPostgreSQL
Across every category in the October 2026 Edition, TimescaleDB and PostgreSQL were named in the same answer thirty-four times, of the 208 answers naming TimescaleDB and the 106 naming PostgreSQL. In those answers PostgreSQL took the first choice three times and TimescaleDB seventeen.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | ||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | |||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | | ||
| GPT-6 Luna | | | | | | |
| Muse Glimmer 30B | | | | | |
TimescaleDB PostgreSQL first choice named as an alternative argued againstblank: not namedEach cell is one answer, TimescaleDB on the left and PostgreSQL on the right.The direct prompt
TimescaleDB first, PostgreSQL not the choice
12 of 14 modelsPostgreSQL was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
TimescaleDB57%#1 of 9PostgreSQL4%#5 of 9TimescaleDB63%#1 of 9PostgreSQL2%#6 of 9TimescaleDB47%#1 of 10PostgreSQL0%#– of 10What the models said about TimescaleDB
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“TimescaleDB has lower raw write throughput compared to purpose-built engines like QuestDB for extreme ingest scenarios” Claude Haiku 4.5 · negative prompt · soft negative
“Avoid for massive IoT write-heavy workloads.” DeepSeek V4 Flash · negative prompt · soft negative
“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 · 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 · 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 · direct prompt · first choice
What the models said about PostgreSQL
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“they are not optimized for large volumes... making them poor choices for serious time series workloads” Mistral Small · negative prompt · hard negative
“PostgreSQL, MySQL, and SQL Server are fine for *small-scale* time-series workloads, but ... they become a poor fit as ingest volume, retention, and query complexity grow.” Perplexity Sonar · negative prompt · soft negative
“General-purpose databases like PostgreSQL or MySQL can handle time-series workloads at small scale, but performance degrades” Claude Haiku 4.5 · negative prompt · soft negative
“Start with PostgreSQL + TimescaleDB if your scale is modest. It minimizes new tooling and hiring complexity.” GPT-5.4 mini · budget prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.