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Time series databases · October 2026 Edition

QuestDB vs Prometheus

Zero of fourteen models named QuestDB first on the direct prompt; zero named Prometheus. Both were named by all fourteen models and QuestDB carries 57 labels and Prometheus 43, so the shares are not directly comparable.

QuestDB

accepted challenger

Named in two categories this edition.

Prometheus

accepted challenger

Named in seven categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%19%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 9; printed, not drawn.
Labels5743A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, QuestDB 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 QuestDB · TimescaleDB vs Prometheus · 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.
QuestDBFirst choices, of fourteen modelsPrometheus
Direct001 against Prometheus
Paraphrase10
Comparative00
Budget-constrained11
Scale-constrained00
Negative202 against QuestDB · 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, QuestDB and Prometheus were named in the same answer eighty times, of the 153 answers naming QuestDB and the 307 naming Prometheus. In those answers Prometheus took the first choice three times and QuestDB six.

Every model, every framing

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

The direct prompt

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

Neither was the first choice, one was named

11 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-5.4 miniTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, QuestDB
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
GLM 4.7 FlashXTimescaleDB alternatives: ClickHouse Cloud, QuestDB
MiniMax M2.5InfluxDB, TimescaleDB alternatives: Amazon Timestream, QuestDB
GPT-6 LunaTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, Prometheus
Muse Glimmer 30BTimescaleDB alternatives: InfluxDB, QuestDB

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashTimescaleDB alternatives: ClickHouse Cloud, InfluxDB
Grok 4.1 FastInfluxDB alternatives: ClickHouse Cloud, TimescaleDB
Llama 4 Maverickno first choice

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
QuestDB leads by four points.
QuestDB6%#3 of 9
Prometheus2%#6 of 9
The full small business standing →
Mid-marketThe figures above
QuestDB leads by two points.
QuestDB4%#4 of 9
Prometheus2%#5 of 9
The full mid-market standing →
Enterprise
QuestDB leads by eight points.
QuestDB8%#4 of 10
Prometheus0%#9 of 10
The full enterprise standing →

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

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.