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 40 labels and QuestDB 57, so the shares are not directly comparable.
Named in four categories this edition.
Named in two 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
VictoriaMetricsFirst choices, of fourteen modelsQuestDB
Across every category in the October 2026 Edition, VictoriaMetrics and QuestDB were named in the same answer seventy-one times, of the 122 answers naming VictoriaMetrics and the 153 naming QuestDB. In those answers QuestDB took the first choice four times and VictoriaMetrics ten.
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 | | | | |
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
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 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
QuestDB6%#3 of 9VictoriaMetrics4%#4 of 9VictoriaMetrics8%#3 of 9QuestDB4%#4 of 9VictoriaMetrics15%#3 of 10QuestDB8%#4 of 10What the models said about VictoriaMetrics
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“VictoriaMetrics' docs explicitly say single-node deployments are not highly available and can have downtime during upgrades/config changes” GPT-5.4 mini · negative prompt · soft negative
“TimescaleDB (if you want SQL simplicity) or VictoriaMetrics (if you want maximum performance per dollar on hardware) are the strongest budget-friendly choices.” DeepSeek V4 Flash · budget prompt · first choice
“the best overall choice is usually VictoriaMetrics if you want a low-cost, self-hosted metrics/time-series store” Perplexity Sonar · budget prompt · first choice
“The best time series database for a company with a limited budget is VictoriaMetrics” Llama 4 Maverick · 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. Five of six in this category shown.
“QuestDB is strong for time-centric analytics, but it is not the best choice if most of your queries do not filter by time” Perplexity Sonar · negative prompt · soft negative
“QuestDB (SQLi)” GLM 4.7 FlashX · negative prompt · soft negative
“1. QuestDB: A time series database that is designed to handle large amounts of data and provide fast query performance.” Llama 4 Maverick · paraphrase prompt · first choice
“specialized TSDBs like InfluxDB, TimescaleDB, or QuestDB are generally safer choices” Mistral Small · negative prompt · first choice
“For new projects in 2026, I'd strongly lean toward QuestDB” DeepSeek V4 Flash · 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.