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Time series databases · October 2026 Edition

TimescaleDB vs InfluxDB

Twelve of fourteen models named TimescaleDB first on the direct prompt; three named InfluxDB. Both were named by all fourteen models and both carry 70 labels, so the shares below are directly comparable.

TimescaleDB

endorsed leader

Named in two categories this edition.

InfluxDB

accepted challenger

Named in five categories this edition.

First-choice share63%16%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%19%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 9; printed, not drawn.
Labels7070Equal, which is what makes the shares comparable.
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.QuestDB was named alongside these two in nine of the fourteen direct answers. TimescaleDB vs VictoriaMetrics · 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 modelsInfluxDB
Direct1231 against InfluxDB
Paraphrase94
Comparative32
Budget-constrained911 against InfluxDB
Scale-constrained10
Negative412 against TimescaleDB · 10 against InfluxDB
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, TimescaleDB and InfluxDB were named in the same answer 178 times, of the 208 answers naming TimescaleDB and the 202 naming InfluxDB. In those answers InfluxDB took the first choice twenty-two times and TimescaleDB ninety-four.

Every model, every framing

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

The direct prompt

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

Both were the first choice

2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
Claude Haiku 4.5InfluxDB, TimescaleDB alternatives: Prometheus
MiniMax M2.5InfluxDB, TimescaleDB alternatives: Amazon Timestream, QuestDB

TimescaleDB first, InfluxDB an alternative

10 of 14 modelsInfluxDB was named in the answer but not as the choice, or not at all.
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
GLM 4.7 FlashXTimescaleDB alternatives: ClickHouse Cloud, QuestDB
GPT-6 LunaTimescaleDB alternatives: ClickHouse Cloud, InfluxDB, Prometheus
Muse Glimmer 30BTimescaleDB alternatives: InfluxDB, QuestDB

InfluxDB first, TimescaleDB an alternative

1 of 14 modelsTimescaleDB was named in the answer but not as the choice, or not at all.
Grok 4.1 FastInfluxDB alternatives: ClickHouse Cloud, TimescaleDB

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
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
TimescaleDB leads by forty-five points.
TimescaleDB57%#1 of 9
InfluxDB11%#2 of 9
The full small business standing →
Mid-marketThe figures above
TimescaleDB leads by forty-seven points.
TimescaleDB63%#1 of 9
InfluxDB16%#2 of 9
The full mid-market standing →
Enterprise
TimescaleDB leads by thirty-one points.
TimescaleDB47%#1 of 10
InfluxDB17%#2 of 10
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. Five of six in this category shown.

“TimescaleDB has lower raw write throughput compared to purpose-built engines like QuestDB for extreme ingest scenarios” Claude Haiku 4.5 · negative prompt · soft negative
“Avoid for massive IoT write-heavy workloads.” DeepSeek V4 Flash · negative prompt · soft negative
“Recommendation for most mid-sized B2B: start with TimescaleDB/Tiger Data if you already use Postgres and need joins between telemetry and CRM/ERP/asset data” Muse Glimmer 30B · paraphrase prompt · first choice
“For most small businesses and startups, TimescaleDB (if you want SQL simplicity) or VictoriaMetrics ... are the strongest budget-friendly choices.” DeepSeek V4 Flash · budget prompt · first choice
“I'd recommend starting with TimescaleDB or InfluxDB Cloud due to their balance of features, ease of use, and managed options.” MiniMax M2.5 · direct prompt · first choice

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
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.