TimescaleDB vs Prometheus
Eleven of fourteen models named TimescaleDB first on the direct prompt; zero named Prometheus. Both were named by all fourteen models and TimescaleDB carries 69 labels and Prometheus 58, so the shares are not directly comparable.
Named in two categories this edition.
Named in nine categories this edition.
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
TimescaleDBFirst choices, of fourteen modelsPrometheus
Across every category in the November 2026 Edition, TimescaleDB and Prometheus were named in the same answer 135 times, of the 219 answers naming TimescaleDB and the 351 naming Prometheus. In those answers Prometheus took the first choice one time and TimescaleDB sixty-nine.
Every model, every framing
| 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 Prometheus first choice named as an alternative argued againstblank: not namedEach cell is one answer, TimescaleDB on the left and Prometheus on the right.The direct prompt
TimescaleDB first, Prometheus an alternative
11 of 14 modelsPrometheus was named in the answer but not as the choice, or not at all.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.Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.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
TimescaleDB62%#1 of 8Prometheus2%#4 of 8TimescaleDB64%#1 of 10Prometheus2%#5 of 10TimescaleDB57%#1 of 12Prometheus0%#11 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 Prometheus
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Prometheus as a primary long-term, large-scale TSDB... be cautious if you need multi-year retention, high availability, or broad analytical queries.” Perplexity Sonar · negative prompt · soft negative
“Using local Prometheus TSDB disk storage to retain multi-year historical metrics will eventually lead to slow queries and OOM crashes” Gemini 3.5 Flash · negative prompt · soft negative
“the best choice is usually Prometheus if your main workload is monitoring/metrics, because it's free, open source” GPT-5.4 mini · budget prompt · first choice
“Choose established options like Prometheus, VictoriaMetrics, or ClickHouse for most use cases” MiniMax M2.5 · negative prompt · first choice
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.