Prometheus
6.6#13 in time-series databasesFree planFree planWebLinuxmacOSSelf-hosted
VisitPrometheus vs TDengine
What both publish
| Fact | Prometheus | TDengine |
|---|---|---|
| Data model | Time series are identified by a metric name and key-value labels, and PromQL provides a flexible query language for querying them. | TDengine uses one-table-per-data-collection-point, super-table and virtual-table models designed for time-series storage efficiency. |
| Deployment | Official components have precompiled binaries and Docker images, and the Prometheus download page lists Windows, macOS, and Linux builds. | Self-hosted deployments can run at the edge, in containers or virtual machines, on local servers, or in public, private, or hybrid clouds. |
| Integrations | The ecosystem includes client libraries, exporters, Pushgateway, and Alertmanager; integrations also include Grafana for visualization and webhook-based alert notifications. | The documented ecosystem includes Grafana integration, Kafka integration, MQTT, OPC, PI System and Excel connectivity. |
| Support | The project offers community support through channels including Slack, mailing lists, and a Discourse forum, and lists independent commercial support providers separately. | Annual licenses include business-hours standard support, while premium support offers 24×7 Severity 1 coverage; free-tier support is optional at $3,375 per year. |
Prometheus plans
- PrometheusFree
TDengine plans
- Free TierFree
- Self-hosted Free TierFree
- TDengine Cloud Starter$970 a month
- Starter$970 a month
- TDengine Cloud Small$1,740 a month
- TDengine Cloud Medium$2,570 a month
Pick Prometheus if…
It suits teams monitoring systems with metrics and alerts, particularly where PromQL, service discovery or HTTP scraping fits their setup. It is not recommended for use cases such as per-request billing that require fully accurate data.
Pick TDengine if…
TDengine is designed for industrial enterprises and organizations running traditional data historians or legacy industrial IoT platforms, especially those needing time-series ingestion and analysis.