Apache IoTDB
7.7#3 in time-series databasesFree planFree planWebAPILinuxmacOS
VisitApache IoTDB vs TDengine
What both publish
| Fact | Apache IoTDB | TDengine |
|---|---|---|
| Company profile | LinkedIn lists Apache IoTDB as a nonprofit software-development organization founded in 2017, headquartered in Wilmington, Delaware, with 51–200 employees. | LinkedIn identifies TDengine as a privately held software-development company founded in 2017 with 51–200 employees and headquarters in Los Gatos, California. |
| Deployment | The project describes cloud installation, a desktop terminal tool, and a data synchronization tool connecting cloud and on-premise machines. | Self-hosted deployments can run at the edge, in containers or virtual machines, on local servers, or in public, private, or hybrid clouds. |
| Documentation depth | The user guide spans quick start, deployment, basic and advanced functions, AI, tools, APIs, integrations, SQL, technical internals, reference and FAQ sections. | Official documentation spans installation, SQL, data modeling, ingestion, querying, subscriptions, stream processing, security, operations, integrations and kernel design. |
| Integrations | Documented integrations include Telegraf, NiFi, Kafka, Flink, Spark, Zeppelin, Grafana, DataEase, DBeaver and ThingsBoard. | The documented ecosystem includes Grafana integration, Kafka integration, MQTT, OPC, PI System and Excel connectivity. |
Apache IoTDB plans
- Apache IoTDBFree
- Apache IoTDB CommunityFree
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 Apache IoTDB if…
It suits teams collecting and querying industrial IoT time-series data across edge and cloud deployments. Users planning Java ingestion should account for the documented JDBC write limitation.
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.