
TDengine TSDBTDengine
High-performance time-series database for IoT, industrial, and big data applications.
Vendor
TDengine
Company Website
Product details
High-Performance, Scalable Time-Series Database for Industrial IoT
TDengine TSDB securely ingests, stores, analyzes, and distributes petabytes of data per day, generated by billions of sensors and devices. With a built-in AI agent for time-series forecasting and anomaly detection, TDengine TSDB delivers real-time business insights.
Why TDengine TSDB?
- **Delivers 10x Higher Performance: **Ingest and query data ten times faster than general-purpose database systems
- **Cuts Storage Costs by 90%: **Minimize data storage expenses with advanced compression and automated tiered storage
- **Supports up to 1 Billion Devices: **Scale out to support up to 1 billion time series without compromising stability or performance
- **Full-Stack Time-Series Platform: **Simplify your systems with built-in stream processing, data subscription, and read caching
Availability, Reliability, and Security
- **Visual Operations Suite: **End-to-end visual operations for data management, stream processing, and access control, delivering full operational control with zero coding required
- **Infrastructure Observability: **Real-time visibility into all TDengine components, powered by taosKeeper and TDinsight, with easy integration into Grafana or Zabbix for full-stack observability
- **Multi-Level Protection: **Flexible and comprehensive data protection with support for logical backups, incremental backups, point-in-time recovery, and cross-region disaster recovery
- **Resilience by Design: **Triple-replica, dual-replica, and active-active architectures, with optional arbitrator nodes or cross-region dual-cluster sync, balancing consistency, reliability, and cost
- **Fine-Grained Access Controls: **Full user lifecycle management and multi-level permissions for precise access control across databases, views, topics, and more, ensuring security and isolation
- **Enterprise-Grade Security: **IP address whitelisting, audit logging, and data encryption for access security, full traceability of operations, and end-to-end protection of sensitive data
Features
- **Efficient Data Ingestion: **With a built-in high-performance write engine that features automatic thread scheduling and batch processing, TDengine TSDB delivers high throughput and easily handles high-frequency data ingestion scenarios.
- **Optimized Query Engine: **TDengine TSDB supports standard SQL with query capabilities optimized for time-series scenarios, including built-in time- and tag-based filtering, multi-level aggregation, downsampling, and interpolation.
- **Data Subscription: **TDengine TSDB includes a built-in Kafka-like data subscription mechanism, allowing users to create topics based on databases, super tables, or SQL queries to stream incoming data in real time.
- **Read Caching: **TDengine TSDB features a built-in read cache that stores the latest data for each table, enabling fast current-value queries out of the box and eliminating the need for external systems like Redis.
- **Stream Processing: **TDengine TSDB comes with a built-in stream processing engine that supports SQL-based windowed aggregation and real-time computation, writing results directly to target tables with millisecond-level latency.
- **Edge–Cloud Synchronization: **With automated replication of data between edge and cloud deployments, TDengine TSDB ensures cross-site data can be reliably stored and makes it easy to build distributed systems that combine local responsiveness with centralized insight.
- **Zero-Code Data Connectors: **With built-in connectors for a wide variety of industrial sources — MQTT, Kafka, OPC, PI System, and more — TDengine delivers zero-code data ingestion and ETL in a centralized platform that acts as a single source of truth for your business.
- **AI Agent for Time-Series Analytics: **TDengine TDgpt provides time-series data forecasting and anomaly detection, supporting AI/ML, including time-series foundation models and large language models, as well as traditional statistical algorithms, all in a single SQL statement.