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Time series databases · October 2026 Edition

VictoriaMetrics vs Prometheus

Zero of fourteen models named VictoriaMetrics first on the direct prompt; zero named Prometheus. Both were named by all fourteen models and VictoriaMetrics carries 40 labels and Prometheus 43, so the shares are not directly comparable.

VictoriaMetrics

accepted challenger

Named in four categories this edition.

Prometheus

accepted challenger

Named in seven categories this edition.

First-choice share8%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate2%19%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 9; printed, not drawn.
Labels4043A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, VictoriaMetrics reading right to left. Rank and label count are printed, not drawn.TimescaleDB was named alongside these two in thirteen of the fourteen direct answers. TimescaleDB vs VictoriaMetrics · TimescaleDB vs Prometheus · InfluxDB vs VictoriaMetrics

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
VictoriaMetricsFirst choices, of fourteen modelsPrometheus
Direct001 against Prometheus
Paraphrase00
Comparative00
Budget-constrained41
Scale-constrained00
Negative101 against VictoriaMetrics · 7 against Prometheus
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, VictoriaMetrics and Prometheus were named in the same answer seventy-three times, of the 122 answers naming VictoriaMetrics and the 307 naming Prometheus. In those answers Prometheus took the first choice three times and VictoriaMetrics eleven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where VictoriaMetrics and Prometheus stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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 Prometheus first choice named as an alternative argued againstblank: not namedEach cell is one answer, VictoriaMetrics on the left and Prometheus on the right.

The direct prompt

The plain question, one answer per model, grouped by where VictoriaMetrics and Prometheus stood in it.

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.
Claude Haiku 4.5InfluxDB, TimescaleDB alternatives: Prometheus
GPT-6 LunaTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, Prometheus

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, QuestDB
Gemini 3.5 FlashTimescaleDB alternatives: ClickHouse Cloud, InfluxDB
Perplexity SonarTimescaleDB alternatives: Amazon Timestream, InfluxDB, QuestDB
Grok 4.1 FastInfluxDB alternatives: ClickHouse Cloud, TimescaleDB
Mistral SmallTimescaleDB alternatives: InfluxDB, QuestDB
DeepSeek V4 FlashTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, QuestDB
Llama 4 Maverickno first choice
Qwen 3.7 FlashTimescaleDB alternatives: InfluxDB, QuestDB
Kimi K2TimescaleDB alternatives: InfluxDB, QuestDB
GLM 4.7 FlashXTimescaleDB alternatives: ClickHouse Cloud, QuestDB
MiniMax M2.5InfluxDB, TimescaleDB alternatives: Amazon Timestream, QuestDB
Muse Glimmer 30BTimescaleDB alternatives: InfluxDB, QuestDB

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
VictoriaMetrics leads by two points.
VictoriaMetrics4%#4 of 9
Prometheus2%#6 of 9
The full small business standing →
Mid-marketThe figures above
VictoriaMetrics leads by six points.
VictoriaMetrics8%#3 of 9
Prometheus2%#5 of 9
The full mid-market standing →
Enterprise
VictoriaMetrics leads by fifteen points.
VictoriaMetrics15%#3 of 10
Prometheus0%#9 of 10
The full enterprise standing →

What 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 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
Also compared

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.