VictoriaMetrics vs PostgreSQL
Zero of fourteen models named VictoriaMetrics first on the direct prompt; zero named PostgreSQL. VictoriaMetrics was named by fourteen of the fourteen models and PostgreSQL by ten and VictoriaMetrics carries 40 labels and PostgreSQL 12, so the shares are not directly comparable.
Named in four 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
VictoriaMetricsFirst 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 | | |
VictoriaMetrics PostgreSQL first choice named as an alternative argued againstblank: not namedEach cell is one answer, VictoriaMetrics on the left and PostgreSQL on the right.The direct prompt
Neither was named
14 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
VictoriaMetrics4%#4 of 9PostgreSQL4%#5 of 9VictoriaMetrics8%#3 of 9PostgreSQL2%#6 of 9VictoriaMetrics15%#3 of 10PostgreSQL0%#– 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 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.