InfluxDB vs QuestDB
Three of fourteen models named InfluxDB first on the direct prompt; zero named QuestDB. Both were named by all fourteen models and InfluxDB carries 70 labels and QuestDB 57, so the shares are not directly comparable.
Named in five categories this edition.
Named in two 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 modelsQuestDB
Across every category in the October 2026 Edition, InfluxDB and QuestDB were named in the same answer 132 times, of the 202 answers naming InfluxDB and the 153 naming QuestDB. In those answers QuestDB took the first choice three times and InfluxDB twenty-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 QuestDB first choice named as an alternative argued againstblank: not namedEach cell is one answer, InfluxDB on the left and QuestDB on the right.The direct prompt
InfluxDB first, QuestDB an alternative
3 of 14 modelsQuestDB was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
10 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
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
What the models said about QuestDB
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“QuestDB is strong for time-centric analytics, but it is not the best choice if most of your queries do not filter by time” Perplexity Sonar · negative prompt · soft negative
“QuestDB (SQLi)” GLM 4.7 FlashX · negative prompt · soft negative
“1. QuestDB: A time series database that is designed to handle large amounts of data and provide fast query performance.” Llama 4 Maverick · paraphrase prompt · first choice
“specialized TSDBs like InfluxDB, TimescaleDB, or QuestDB are generally safer choices” Mistral Small · negative prompt · first choice
“For new projects in 2026, I'd strongly lean toward QuestDB” DeepSeek V4 Flash · 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.