BTrDB
6.4#17 in time-series databasesFree planFree planAPILinuxSelf-hosted
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| Fact | BTrDB | TDengine |
|---|---|---|
| Installation | The maker recommends installing btrdb-python with pip and offers data-science and all-optional-dependency extras. | Official packages support Linux and Windows, and documentation also provides Docker and Kubernetes deployment paths. |
| Integrations | The Python documentation includes examples using Dash and Plotly to plot data queried from BTrDB. | The documented ecosystem includes Grafana integration, Kafka integration, MQTT, OPC, PI System and Excel connectivity. |
| License | The BTrDB server repository identifies its license as MIT. | The TDengine TSDB open-source repository is licensed under GNU Affero General Public License version 3.0. |
| Support | The documentation invites users to submit pull requests or open a GitHub issue for additions or corrections. | 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. |
BTrDB suits teams that need to deploy a database for dense telemetry or high-precision sensor data and work with it through Python. Its self-hosted model also fits users prepared to operate a clustered deployment.
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.