Gnocchi
5.4#33 in time-series databasesAPILinuxSelf-hosted
VisitGnocchi vs TDengine
What both publish
| Fact | Gnocchi | TDengine |
|---|---|---|
| Deployment | Gnocchi can be installed with pip, from source, using Docker, or using OpenShift. | Self-hosted deployments can run at the edge, in containers or virtual machines, on local servers, or in public, private, or hybrid clouds. |
| Installation | Gnocchi can be installed using pip, from source, or using Docker; the documentation also describes an OpenShift installation option. | Official packages support Linux and Windows, and documentation also provides Docker and Kubernetes deployment paths. |
| Integrations | The documentation lists support for Grafana, Prometheus Remote Write, Nagios/Icinga, StatsD, Collectd, InfluxDB line protocol, and AMQP 1.0. | The documented ecosystem includes Grafana integration, Kafka integration, MQTT, OPC, PI System and Excel connectivity. |
| Support | The project documentation points users to its source code, GitHub bug tracker, and the #gnocchi IRC channel on OFTC. | 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. |
Gnocchi plans
No prices published.
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 Gnocchi if…
You want what its maker publishes above — check its page for the details.
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.