
Amazon Timestream
7.9#2 in time-series databasesFree planFree planWebAPILinuxmacOS
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| Fact | Amazon Timestream | TDengine |
|---|---|---|
| Documentation depth | AWS provides getting-started tutorials, sample applications, API references, SDK examples, CLI references, quotas and security guidance. | Official documentation spans installation, SQL, data modeling, ingestion, querying, subscriptions, stream processing, security, operations, integrations and kernel design. |
| Integrations | Official integrations include AWS IoT Core, Kinesis, MSK, Telegraf, QuickSight, Grafana, JDBC business-intelligence tools and SageMaker. | The documented ecosystem includes Grafana integration, Kafka integration, MQTT, OPC, PI System and Excel connectivity. |
| Rating on G2 | 3.7 out of 5 from 23 reviews | 4.7 out of 5 from 15 reviews. |
Amazon Timestream suits teams working with time-series workloads such as IoT telemetry, real-time monitoring, analytics, predictive maintenance, or long-term telemetry retention. Its supported ingestion routes and query languages may fit teams using AWS services and related tools.
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.