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Time series databases · October 2026 Edition

InfluxDB vs VictoriaMetrics

Three of fourteen models named InfluxDB first on the direct prompt; zero named VictoriaMetrics. Both were named by all fourteen models and InfluxDB carries 70 labels and VictoriaMetrics 40, so the shares are not directly comparable.

InfluxDB

accepted challenger

Named in five categories this edition.

VictoriaMetrics

accepted challenger

Named in four categories this edition.

First-choice share16%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate19%2%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 9; printed, not drawn.
Labels7040A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, InfluxDB 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 InfluxDB · TimescaleDB vs VictoriaMetrics · InfluxDB vs QuestDB

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.
InfluxDBFirst choices, of fourteen modelsVictoriaMetrics
Direct301 against InfluxDB
Paraphrase40
Comparative20
Budget-constrained141 against InfluxDB
Scale-constrained00
Negative1110 against InfluxDB · 1 against VictoriaMetrics
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, InfluxDB and VictoriaMetrics were named in the same answer ninety times, of the 202 answers naming InfluxDB and the 122 naming VictoriaMetrics. In those answers VictoriaMetrics took the first choice sixteen times and InfluxDB fifteen.

Every model, every framing

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

The direct prompt

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

InfluxDB first, VictoriaMetrics not the choice

3 of 14 modelsVictoriaMetrics was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5InfluxDB, TimescaleDB alternatives: Prometheus
Grok 4.1 FastInfluxDB alternatives: ClickHouse Cloud, TimescaleDB
MiniMax M2.5InfluxDB, TimescaleDB alternatives: Amazon Timestream, QuestDB

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.
GPT-5.4 miniTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, QuestDB
Gemini 3.5 FlashTimescaleDB alternatives: ClickHouse Cloud, InfluxDB
Perplexity SonarTimescaleDB alternatives: Amazon Timestream, InfluxDB, QuestDB
Mistral SmallTimescaleDB alternatives: InfluxDB, QuestDB
DeepSeek V4 FlashTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, QuestDB
Qwen 3.7 FlashTimescaleDB alternatives: InfluxDB, QuestDB
Kimi K2TimescaleDB alternatives: InfluxDB, QuestDB
GPT-6 LunaTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, Prometheus
Muse Glimmer 30BTimescaleDB alternatives: InfluxDB, QuestDB

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice
GLM 4.7 FlashXTimescaleDB alternatives: ClickHouse Cloud, 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
InfluxDB leads by eight points.
InfluxDB11%#2 of 9
VictoriaMetrics4%#4 of 9
The full small business standing →
Mid-marketThe figures above
InfluxDB leads by eight points.
InfluxDB16%#2 of 9
VictoriaMetrics8%#3 of 9
The full mid-market standing →
Enterprise
InfluxDB leads by two points.
InfluxDB17%#2 of 10
VictoriaMetrics15%#3 of 10
The full enterprise standing →

What the models said about InfluxDB

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Older versions (v1) reached end-of-life years ago, with no security patches or support—avoid for new projects.” Grok 4.1 Fast · negative prompt · hard negative
“Still risky for production; consider newer versions or alternatives.” GLM 4.7 FlashX · negative prompt · hard negative
“For new projects, avoid InfluxDB 1/2.” GLM 4.7 FlashX · negative prompt · hard negative
“Start with InfluxDB Cloud if you're new to TSDBs or focused on monitoring/IoT—it's the most adopted, user-friendly for mid-market” Grok 4.1 Fast · direct prompt · first choice
“InfluxDB Cloud or TimescaleDB are often ideal because they balance ease of use, scalability, and cost-effectiveness” Claude Haiku 4.5 · direct prompt · first choice
“I'd recommend InfluxDB for most mid-sized B2B companies that need to store and analyze metrics and sensor data.” Mistral Small · paraphrase prompt · first choice

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
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.