VictoriaMetrics vs QuestDB
Zero of fourteen models named VictoriaMetrics first on the direct prompt; zero named QuestDB. Both were named by all fourteen models and VictoriaMetrics carries 57 labels and QuestDB 38, so the shares are not directly comparable.
Named in four categories this edition.
Named in one category 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
VictoriaMetricsFirst choices, of fourteen modelsQuestDB
Across every category in the November 2026 Edition, VictoriaMetrics and QuestDB were named in the same answer eighty-five times, of the 165 answers naming VictoriaMetrics and the 126 naming QuestDB. In those answers QuestDB took the first choice two times and VictoriaMetrics eleven.
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 | | |
VictoriaMetrics QuestDB first choice named as an alternative argued againstblank: not namedEach cell is one answer, VictoriaMetrics on the left and QuestDB on the right.The direct prompt
Neither was the first choice, one was named
12 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
VictoriaMetrics7%#3 of 8QuestDB0%#5 of 8VictoriaMetrics11%#3 of 10QuestDB4%#4 of 10VictoriaMetrics10%#3 of 12QuestDB5%#4 of 12What the models said about VictoriaMetrics
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“its cluster design prioritizes availability over consistency, and moving data from single-node to cluster requires re-ingestion” GPT-6 Luna · negative prompt · soft negative
“not ideal for logs, events, or diversified time series data” Claude Haiku 4.5 · negative prompt · soft negative
“Choose established options like Prometheus, VictoriaMetrics, or ClickHouse for most use cases” MiniMax M2.5 · negative prompt · first choice
“Often praised as a drop-in Influx replacement—stable, efficient, Prometheus-compatible, and scalable.” Grok 4.20 · negative prompt · first choice
“Monitoring / long-term metrics with minimal operational burden and storage cost → VictoriaMetrics.” Muse Glimmer 30B · budget prompt · first choice
What 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
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.