Time series databases · November 2026 Edition
TimescaleDB vs InfluxDB
Eleven of fourteen models named TimescaleDB first on the direct prompt; one named InfluxDB. Both were named by all fourteen models and TimescaleDB carries 69 labels and InfluxDB 76, so the shares are not directly comparable.
Named in two categories this edition.
Named in two categories this edition.
First-choice share64%13%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%25%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 10; printed, not drawn.
Labels6976A 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.VictoriaMetrics was named alongside these two in eleven 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
Direct111
Paraphrase1031 against InfluxDB
Comparative26
Budget-constrained813 against InfluxDB
Scale-constrained112 against InfluxDB
Negative104 against TimescaleDB · 12 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 November 2026 Edition, TimescaleDB and InfluxDB were named in the same answer 201 times, of the 219 answers naming TimescaleDB and the 222 naming InfluxDB. In those answers InfluxDB took the first choice twenty-three times and TimescaleDB 101.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where TimescaleDB and InfluxDB stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 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.
TimescaleDB first, InfluxDB an alternative
11 of 14 modelsInfluxDB 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
InfluxDB first, TimescaleDB an alternative
1 of 14 modelsTimescaleDB was named in the answer but not as the choice, or not at all.Kimi K2InfluxDB alternatives: TimescaleDB, VictoriaMetrics
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
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 forty-six points.
TimescaleDB62%#1 of 8InfluxDB16%#2 of 8Mid-marketThe figures above
TimescaleDB leads by fifty-one points.
TimescaleDB64%#1 of 10InfluxDB13%#2 of 10Enterprise
TimescaleDB leads by forty-three points.
TimescaleDB57%#1 of 12InfluxDB14%#2 of 12What 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 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.
“avoid InfluxDB 3 Core (OSS) for production unless your use case genuinely fits within 72-hour retention and 5 databases” Claude Haiku 4.5 · negative prompt · hard negative
“When to avoid: If stability, easy upgrades, or long-term maintenance are priorities. Many teams are migrating away” Grok 4.20 · negative prompt · hard negative
“InfluxDB 3 is a different generation from v1/v2, and its Core edition has documented query-range limitations that may matter for historical analytics.” GPT-6 Luna · scale prompt · soft negative
“InfluxDB is considered the best overall reference point for broad time series workloads spanning metrics, IoT, and real-time analytics with strong ingest.” Claude Haiku 4.5 · comparative prompt · first choice
“TimescaleDB (if using PostgreSQL) or InfluxDB Open Source tend to offer the best balance of features, performance, and cost” Claude Haiku 4.5 · budget prompt · first choice
“Start with InfluxDB if you want a proven, well-supported solution with a managed cloud option and extensive integrations.” Kimi K2 · direct 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.