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Time series databases · November 2026 Edition

TimescaleDB vs VictoriaMetrics

Eleven of fourteen models named TimescaleDB first on the direct prompt; zero named VictoriaMetrics. Both were named by all fourteen models and TimescaleDB carries 69 labels and VictoriaMetrics 57, so the shares are not directly comparable.

TimescaleDB

endorsed leader

Named in two categories this edition.

VictoriaMetrics

accepted challenger

Named in four categories this edition.

First-choice share64%11%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%4%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 10; printed, not drawn.
Labels6957A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, TimescaleDB reading right to left. Rank and label count are printed, not drawn.InfluxDB was named alongside these two in fourteen of the fourteen direct answers. TimescaleDB vs InfluxDB · TimescaleDB vs QuestDB · TimescaleDB vs Prometheus

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.
TimescaleDBFirst choices, of fourteen modelsVictoriaMetrics
Direct110
Paraphrase100
Comparative20
Budget-constrained84
Scale-constrained11
Negative124 against TimescaleDB · 2 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 November 2026 Edition, TimescaleDB and VictoriaMetrics were named in the same answer 138 times, of the 219 answers naming TimescaleDB and the 165 naming VictoriaMetrics. In those answers VictoriaMetrics took the first choice sixteen times and TimescaleDB seventy-eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where TimescaleDB and VictoriaMetrics stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
TimescaleDB VictoriaMetrics first choice named as an alternative argued againstblank: not namedEach cell is one answer, TimescaleDB on the left and VictoriaMetrics on the right.

The direct prompt

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

TimescaleDB first, VictoriaMetrics an alternative

11 of 14 modelsVictoriaMetrics was named in the answer but not as the choice, or not at all.
GPT-5.4 miniTimescaleDB alternatives: Amazon Timestream, ClickHouse Cloud, InfluxDB, VictoriaMetrics
Gemini 3.5 FlashTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, QuestDB, VictoriaMetrics
Perplexity SonarTimescaleDB alternatives: Amazon Timestream, ClickHouse Cloud, InfluxDB, Prometheus, VictoriaMetrics
Grok 4.20TimescaleDB alternatives: ClickHouse Cloud, InfluxDB, VictoriaMetrics
Mistral SmallTimescaleDB alternatives: Amazon Timestream, InfluxDB, VictoriaMetrics
DeepSeek V4 FlashTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, VictoriaMetrics
Llama 4 MaverickTimescaleDB alternatives: InfluxDB, QuestDB, VictoriaMetrics
Qwen 3.7 FlashTimescaleDB alternatives: InfluxDB, Prometheus, QuestDB
GLM 4.7 FlashXTimescaleDB alternatives: Amazon Timestream, Azure Data Explorer, InfluxDB, VictoriaMetrics
MiniMax M2.5TimescaleDB alternatives: Amazon Timestream, InfluxDB, VictoriaMetrics
GPT-6 LunaTimescaleDB alternatives: ClickHouse Cloud, InfluxDB

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 4.5no first choice alternatives: InfluxDB, QuestDB, TimescaleDB, VictoriaMetrics
Kimi K2InfluxDB alternatives: TimescaleDB, VictoriaMetrics

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Muse Glimmer 30BTimescaleDB, now marketed as Tiger Cloud / TigerData alternatives: ClickHouse Cloud, InfluxDB

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
TimescaleDB leads by fifty-five points.
TimescaleDB62%#1 of 8
VictoriaMetrics7%#3 of 8
The full small business standing →
Mid-marketThe figures above
TimescaleDB leads by fifty-three points.
TimescaleDB64%#1 of 10
VictoriaMetrics11%#3 of 10
The full mid-market standing →
Enterprise
TimescaleDB leads by forty-seven points.
TimescaleDB57%#1 of 12
VictoriaMetrics10%#3 of 12
The full enterprise standing →

What the models said about TimescaleDB

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

“avoid both InfluxDB and TimescaleDB if your time-series data has a natural transactional relationship with other data” Claude Haiku 4.5 · negative prompt · hard negative
“Caution: TimescaleDB is an excellent PostgreSQL extension for time-series, but it has specific architectural boundaries” Gemini 3.5 Flash · negative prompt · soft negative
“Be Cautious regarding Write Throughput: TimescaleDB ... may struggle to keep up without aggressive tuning” Qwen 3.7 Flash · negative prompt · soft negative
“IoT / high-volume sensor data: Use TimescaleDB (Postgres extension) — it supports full SQL, handles high cardinality gracefully” DeepSeek V4 Flash · negative prompt · first choice
“For most mid-market B2B companies, TimescaleDB (or a managed Timescale Cloud) is the best balance of cost, simplicity, and power.” GLM 4.7 FlashX · direct prompt · first choice
“the best time series database is TimescaleDB. It is the clear leader in adoption and recommendation for mid-market organizations” Mistral Small · direct 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. Five of five in this category shown.

“its cluster design prioritizes availability over consistency, and moving data from single-node to cluster requires re-ingestion” GPT-6 Luna · negative prompt · soft negative
“not ideal for logs, events, or diversified time series data” Claude Haiku 4.5 · negative prompt · soft negative
“Choose established options like Prometheus, VictoriaMetrics, or ClickHouse for most use cases” MiniMax M2.5 · negative prompt · first choice
“Often praised as a drop-in Influx replacement—stable, efficient, Prometheus-compatible, and scalable.” Grok 4.20 · negative prompt · first choice
“Monitoring / long-term metrics with minimal operational burden and storage cost → VictoriaMetrics.” Muse Glimmer 30B · 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.