TDengine
An open-source, cloud-native time-series database optimized for IoT.
Overview
TDengine is an open-source time-series database that is specifically designed to handle the massive amounts of data generated by IoT devices, connected cars, and industrial sensors. It features a high-performance storage and query engine, built-in data caching, and stream processing capabilities. TDengine's architecture is designed for scalability and ease of use, with a SQL-like query language and simple setup.
✨ Key Features
- High-performance data ingestion and querying
- SQL-like query language
- Built-in caching for real-time data
- Stream processing and continuous queries
- Schema-less and schema-full data models
- Horizontal scalability for large-scale deployments
- Open-source and cloud-native
🎯 Key Differentiators
- Optimized for IoT and industrial IoT use cases
- High performance and scalability
- All-in-one solution with built-in caching and stream processing
Unique Value: A high-performance, scalable, and easy-to-use time-series database that simplifies the development of IoT and industrial IoT applications.
🎯 Use Cases (4)
✅ Best For
- Storing and analyzing data from millions of IoT devices in real-time
- Powering monitoring and analytics platforms for industrial equipment
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Transactional workloads
- Storing non-time-series data
🏆 Alternatives
TDengine aims to provide a more performant and all-in-one solution for IoT data compared to other time-series databases. Its built-in caching and stream processing capabilities can reduce the need for additional components in an IoT data platform.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
💰 Pricing
✓ 30-day free trial
Free tier: Free and open-source community edition.
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