Prometheus vs QuestDB
On the evidence we track, Prometheus leads this comparison with a composite score of 69/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for time-series databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Prometheus
LeaderA systems monitoring platform that collects metrics from configured targets at regular intervals, evaluates alert rules using PromQL, and triggers notifications. It uses a dimensional data model with key-value labels for flexible metric analysis and dashboarding.
QuestDB
QuestDB is an open-source time-series database engineered for low latency, delivering ultra-low latency ingestion, high throughput, and multi-tier storage for demanding time-series workloads.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Prometheus
Leader- Amazon SNS
- Discord
- incident.io
- Jira
- Mattermost
- Microsoft Teams
- OpsGenie
- PagerDuty
- Pushover
- Rocket.Chat
- Slack
- Telegram
- VictorOps
- Webex
- Webhook
QuestDB
- PostgreSQL
- Parquet
- Arrow
- Polars
- Pandas
- Debezium
- Iceberg
- MySQL
- MongoDB
- Cassandra
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.