QuestDB vs Prometheus
Zero of fourteen models named QuestDB first on the direct prompt; zero named Prometheus. Both were named by all fourteen models and QuestDB carries 38 labels and Prometheus 58, so the shares are not directly comparable.
Named in one category this edition.
Named in nine 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
QuestDBFirst choices, of fourteen modelsPrometheus
Across every category in the November 2026 Edition, QuestDB and Prometheus were named in the same answer ninety-five times, of the 126 answers naming QuestDB and the 351 naming Prometheus. In those answers Prometheus took the first choice zero times and QuestDB two.
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 4.20 | | | | | | |
| 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 | | | |
QuestDB Prometheus first choice named as an alternative argued againstblank: not namedEach cell is one answer, QuestDB on the left and Prometheus on the right.The direct prompt
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
9 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
Prometheus2%#4 of 8QuestDB0%#5 of 8QuestDB4%#4 of 10Prometheus2%#5 of 10What the models said about QuestDB
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“High ingestion throughput with SQL and open formats like Parquet, with zero license cost → QuestDB open-source core.” Muse Glimmer 30B · budget prompt · first choice
“QuestDB if performance and raw speed are priorities and you're starting fresh” MiniMax M2.5 · budget prompt · first choice
“QuestDB is another good option for teams needing to handle large volumes of time-series data without a high cost.” Mistral Small · budget prompt · alternative
What the models said about Prometheus
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Prometheus as a primary long-term, large-scale TSDB... be cautious if you need multi-year retention, high availability, or broad analytical queries.” Perplexity Sonar · negative prompt · soft negative
“Using local Prometheus TSDB disk storage to retain multi-year historical metrics will eventually lead to slow queries and OOM crashes” Gemini 3.5 Flash · negative prompt · soft negative
“the best choice is usually Prometheus if your main workload is monitoring/metrics, because it's free, open source” GPT-5.4 mini · budget prompt · first choice
“Choose established options like Prometheus, VictoriaMetrics, or ClickHouse for most use cases” MiniMax M2.5 · negative 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.