InfluxDB vs PostgreSQL
Three of fourteen models named InfluxDB first on the direct prompt; zero named PostgreSQL. InfluxDB was named by fourteen of the fourteen models and PostgreSQL by ten and InfluxDB carries 70 labels and PostgreSQL 12, so the shares are not directly comparable.
Named in five categories this edition.
Named in six 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
InfluxDBFirst choices, of fourteen modelsPostgreSQL
Across every category in the October 2026 Edition, InfluxDB and PostgreSQL were named in the same answer thirty-one times, of the 202 answers naming InfluxDB and the 106 naming PostgreSQL. In those answers PostgreSQL took the first choice four times and InfluxDB four.
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 4.1 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 | | | | |
InfluxDB PostgreSQL first choice named as an alternative argued againstblank: not namedEach cell is one answer, InfluxDB on the left and PostgreSQL on the right.The direct prompt
InfluxDB first, PostgreSQL not the choice
3 of 14 modelsPostgreSQL was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
InfluxDB11%#2 of 9PostgreSQL4%#5 of 9InfluxDB16%#2 of 9PostgreSQL2%#6 of 9InfluxDB17%#2 of 10PostgreSQL0%#– of 10What 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
What the models said about PostgreSQL
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“they are not optimized for large volumes... making them poor choices for serious time series workloads” Mistral Small · negative prompt · hard negative
“PostgreSQL, MySQL, and SQL Server are fine for *small-scale* time-series workloads, but ... they become a poor fit as ingest volume, retention, and query complexity grow.” Perplexity Sonar · negative prompt · soft negative
“General-purpose databases like PostgreSQL or MySQL can handle time-series workloads at small scale, but performance degrades” Claude Haiku 4.5 · negative prompt · soft negative
“Start with PostgreSQL + TimescaleDB if your scale is modest. It minimizes new tooling and hiring complexity.” GPT-5.4 mini · budget 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.