Prometheus vs PostgreSQL
Zero of fourteen models named Prometheus first on the direct prompt; zero named PostgreSQL. Prometheus was named by fourteen of the fourteen models and PostgreSQL by ten and Prometheus carries 43 labels and PostgreSQL 12, so the shares are not directly comparable.
Named in seven 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
PrometheusFirst choices, of fourteen modelsPostgreSQL
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 | | |
Prometheus PostgreSQL first choice named as an alternative argued againstblank: not namedEach cell is one answer, Prometheus on the left and PostgreSQL on the right.The direct prompt
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
12 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
PostgreSQL4%#5 of 9Prometheus2%#6 of 9Prometheus2%#5 of 9PostgreSQL2%#6 of 9Prometheus0%#9 of 10PostgreSQL0%#– of 10What the models said about Prometheus
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Prometheus local storage as your only durable, highly available store. ... its local TSDB isn't clustered or replicated.” GPT-6 Luna · negative prompt · soft negative
“Prometheus is by default free to use... Prometheus is an excellent choice as a powerful open-source monitoring and alerting toolkit.” Claude Haiku 4.5 · budget 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.