InfluxDB vs Prometheus
On the evidence we track, Prometheus leads this comparison with a composite score of 67/100. 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.
InfluxDB
A time-stamped data repository engineered to accept high-volume streams of metrics and contextual events, then return query results with minimal latency. Common use cases include infrastructure monitoring, system performance analysis, and real-time business intelligence.
Prometheus
LeaderA pull-based monitoring platform that periodically scrapes metrics from instrumented targets over HTTP and stores them in a time-series database. It provides PromQL for querying metrics and integrates with Alertmanager for rule-based alerting and incident notifications.
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.
InfluxDB
- MailChimp
- Telegraf
Prometheus
Leader- Amazon SNS
- Discord
- incident.io
- Jira
- Mattermost
- Microsoft Teams
- OpsGenie
- PagerDuty
- Pushover
- Rocket.Chat
- Slack
- Telegram
- VictorOps
- Webex
- Webhook
- WeChat Work
- Blackbox Exporter
- Consul
- Graphite
- Memcached
- MySQL
- Node Exporter
- +41 more
InfluxDB or Prometheus: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.