TDengine
UnclaimedAI-powered data historian built on a high-performance time-series database for industrial operations.
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TL;DR - TDengine
- Combines a high-performance time-series database with an AI-powered industrial data management platform.
- Offers AI/ML capabilities for forecasting, anomaly detection, and LLM-driven operational insights.
- Provides a cost-effective, open-ecosystem solution for industrial data historization, management, and analytics.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Significantly more affordable than traditional historian systems like PI System.
- Built-in AI capabilities for advanced operational insights and predictive maintenance.
- Open ecosystem with no vendor lock-in, supporting cloud and on-prem deployments.
- High-performance and scalable, proven in mission-critical industrial operations.
- Comprehensive security and compliance certifications.
Cons
- Pricing for managed services and higher tag counts can become substantial.
- Requires technical expertise for self-hosted deployments and advanced configurations.
Key Features
High-performance time-series database (TDengine TSDB)AI-powered industrial data management platform (TDengine IDMP)AI/ML for forecasting and anomaly detectionLLM-driven panel and analysis creationNatural-language operational insights and assisted data explorationIndustrial data modeling with tree-structured entity definitionsData contextualization and standardizationReal-time analytics and event management
Pricing Plans
Free TrialTDengine TSDB
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- High-performance time-series database
TDengine IDMP
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- AI-powered industrial data management platform
About TDengine
By Toolradar Team·
TDengine is an AI-powered data historian that combines a scalable, high-performance time-series database (TDengine TSDB) with an AI-powered industrial data management platform (TDengine IDMP). It provides comprehensive capabilities for industrial data acquisition, storage, management, contextualization, analytics, and visualization, going beyond traditional historians by integrating AI for operational insights.
This platform is designed for industrial companies seeking to manage mission-critical operational data efficiently and affordably. It enables AI/ML for forecasting and anomaly detection, LLM-driven analysis, and natural-language insights from industrial data. TDengine supports both cloud and on-premise deployments, offering an open ecosystem with easy integration into existing data stacks, ensuring data portability and control for users.
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TDengine FAQ
How does TDengine's AI-powered data historian differ from traditional data historians like PI System?
TDengine differentiates itself by integrating AI/ML capabilities directly into its platform for forecasting, anomaly detection, and LLM-driven analysis, which traditional historians typically lack or offer as separate, costly add-ons. It also provides a more affordable pricing model without extra charges for visualization or connectors, and supports an open ecosystem to prevent vendor lock-in.
What is the distinction between TDengine TSDB and TDengine IDMP, and how do they work together?
TDengine TSDB is the high-performance time-series database component responsible for efficient data ingestion, storage, and querying. TDengine IDMP is the AI-powered industrial data management platform that sits on top of the TSDB, providing industrial data modeling, contextualization, standardization, real-time analytics, and AI-driven insights. Together, they form a complete data historian solution.
Can TDengine integrate with existing industrial control systems and data sources?
Yes, TDengine is designed for interoperability and offers zero-code data connectors for common industrial protocols and platforms such as MQTT, Kafka, OPC, and PI System. This allows for easy ingestion and ETL from various existing industrial data sources.
What deployment options are available for TDengine, and what are the implications for data control?
TDengine offers flexible deployment options including self-hosted (at the edge, in containers, VMs, local servers, or public/private/hybrid clouds) and a fully managed cloud service (on AWS, Azure, or GCP). The self-hosted options provide users with complete control over their data and infrastructure, while the managed service simplifies operations.
How does TDengine handle high availability and disaster recovery for critical industrial data?
TDengine offers high availability (HA) as an additional feature for both annual and perpetual self-hosted plans, and it's also available for managed cloud plans. The platform includes features like data backup & restoration and disaster recovery capabilities to ensure continuous operation and data integrity for mission-critical industrial environments.
What is the role of TDgpt in the TDengine ecosystem?
TDgpt is a component of TDengine's AI-powered design that enables Zero-Query Intelligence. It leverages LLMs for natural-language operational insights and assisted exploration of industrial data, allowing users to interact with their data using natural language rather than complex queries.
Source: tdengine.com