Detailed Introduction
TDengine is a high-performance time-series database designed for Industrial IoT (IIoT) scenarios. It excels at large-scale time-series ingestion, compression, and efficient queries. In cluster mode TDengine provides horizontal scalability and high availability, with storage and indexing optimizations tailored for time-series workloads such as sensor data and monitoring metrics.
Main Features
- High-throughput ingestion: storage engine optimized for massive writes.
- Time-series optimizations: built-in compression and indexing to improve query performance and storage efficiency.
- Scalable deployment: supports clustering and horizontal scaling for large workloads.
- Multi-protocol support: SQL-compatible interfaces and client libraries for multiple languages.
Use Cases
- Industrial monitoring: telemetry collection and long-term storage for devices.
- Metrics and alerting: large-scale metrics aggregation and real-time analysis.
- Telematics and smart city: applications requiring high-concurrency writes and time-series analytics.
Technical Characteristics
- Implements compression and indexing strategies tuned for time-series data to reduce storage footprint.
- Offers SQL-like interfaces and multi-language clients for easy developer integration.
- License: AGPL-3.0, community-driven with open contribution model.
- Cloud-native friendly: can run in containers and Kubernetes environments.