M3
6.0#22 in time-series databasesFree planFree planAPILinuxmacOSSelf-hosted
VisitM3 vs TDengine
What both publish
| Fact | M3 | TDengine |
|---|---|---|
| Deployment | M3 can be installed with binaries or Docker, and its documentation includes cluster deployment with Kubernetes. | 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 documentation describes integrations with Prometheus, Graphite, Grafana, and InfluxDB. | The documented ecosystem includes Grafana integration, Kafka integration, MQTT, OPC, PI System and Excel connectivity. |
| Open source | M3 is open-sourced under the Apache 2 license, and contributions are welcomed. | TDengine TSDB-OSS is fully open source, includes clustering capabilities, and is released under the AGPL license. |
| Support | The project links to a community Slack and GitHub repository. | 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. |
M3 plans
- M3 (open source)Free
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 M3 if…
M3 suits teams building Prometheus-based monitoring that need centralized, long-retention metrics storage and horizontal scaling. It is also relevant to developers who want an open-source tool with PromQL and Graphite query support.
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.