Sold by: TDengine
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High-performance, scalable time-series database for Industrial IoT
Overview
From predictive maintenance and remote monitoring to AI and ML, the latest industrial applications all have one thing in common: a reliance on large, high quality datasets. And no database better helps you gain real-time insights than TDengine, the only time-series database designed for Industrial IoT.
TDengine is a time-series database designed to help traditional industries overcome the challenges of Industry 4.0 and Industrial IoT. It enables real-time ingestion, storage, analysis, and distribution of petabytes of data per day, generated by billions of sensors and data collectors. By making big data accessible and affordable, TDengine helps everyone - from independent developers and startups to industry stalwarts and multinationals - unlock the true value of their data.
Highlights
- High Performance at Any Scale: With its distributed scalable architecture that grows together with your business, TDengine can store and process massive datasets up to 10.6x faster than other TSDBs - all while providing the split-second latency that your real-time visualization and reporting apps demand.
- Efficient Data Storage: With its unique design and data model, TDengine provides the most cost-effective solution for storing your operations data, including tiered storage, S3, and 10:1 data compression, ensuring that you can get valuable business insights from your data without breaking the bank.
- Data Consolidation Across Sites: 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 extract, transform, and load (ETL) in a centralized platform that acts as a single source of truth for your business.
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
TDengine Cloud Usage | $1.00 |
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TDengine Cloud includes a built-in support ticketing system. For additional support, contact us at
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Customer reviews
Subham C.
High-Performance, Scalable Time-Series Database for Industrial IoT
Reviewed on Nov 25, 2024
Review provided by G2
What do you like best about the product?
TDengine impresses with its tailored approach to time-series data, offering exceptional performance, scalability, and ease of use. Its high performance ensures rapid querying and writing of time-series data, making it ideal for IoT, monitoring, and real-time analytics applications. The platform seamlessly handles large datasets and supports distributed architectures, ensuring scalability for growing needs. Additionally, TDengine integrates data storage, caching, and message queuing, which simplifies infrastructure management and reduces reliance on multiple tools. With clear documentation, an intuitive setup process, and SQL-based query support, it is accessible to both new and experienced developers, making it a versatile choice for time-series data management.
What do you dislike about the product?
The community is growing but still smaller compared to some competitors, which might limit the availability of third-party tutorials or plugins.
What problems is the product solving and how is that benefiting you?
TDengine addresses the complexities of handling vast amounts of time-series data by providing a purpose-built database that is optimized for performance and scalability. Traditional databases often fall short when faced with the unique demands of time-stamped data, such as high ingestion rates and the need for real-time processing. TDengine resolves these issues by offering features like automatic data partitioning, high compression ratios, and efficient query execution
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Ritik .
TDengine Unlock the Power of Time-Series Data.
Reviewed on Nov 12, 2024
Review provided by G2
What do you like best about the product?
TDengine is a top choice for modern, data-intensive applications. TDengine strikes a perfect balance between speed, storage efficiency, and ease of use.
What do you dislike about the product?
We might find its tooling, documentation, or community support not as extensive as other platforms. Additionally, certain advanced features, like complex query capabilities or integrations with third-party systems, may require more manual setup or customization.
What problems is the product solving and how is that benefiting you?
TDengine provides high-performance data ingestion, real-time querying, and compression, allowing businesses to store vast amounts of data without incurring high costs or performance slowdowns. For me, this means faster insights from real-time data streams, reduced infrastructure costs due to effective compression.
vivek s.
TDengine is Smart Time-Series Database for IoT and Big Data.
Reviewed on Nov 11, 2024
Review provided by G2
What do you like best about the product?
it is compitible to handle all type data and quries much better than many other traditional databases.
What do you dislike about the product?
it is specifically designed for time series application, so that TDengine not flexible of high-performance in time-series analytics.
What problems is the product solving and how is that benefiting you?
this helps organizations save on storage costs, reduce infrastructure needs, and improve operational efficiency, particularly for those relying on real-time insights from time-series data.
Gopal B.
It is a High-Performance Solution for Time-Series Data Management.
Reviewed on Nov 10, 2024
Review provided by G2
What do you like best about the product?
It’s designed to handle data ingestion and querying much faster than many traditional databases
What do you dislike about the product?
it is designed specifically for time-series applications, so it lacks the flexibility of general-purpose databases.
What problems is the product solving and how is that benefiting you?
this helps organizations save on storage costs, reduce infrastructure needs, and improve operational efficiency, particularly for those relying on real-time insights from time-series data.
Nishant S.
it is a optimized Solution for IoT and Time-Series Data
Reviewed on Nov 08, 2024
Review provided by G2
What do you like best about the product?
Its architecture supports distributed deployment, enhancing scalability and making it a solid choice for data-intensive environments
What do you dislike about the product?
it can feel limited when handling complex queries or integrating with broader data ecosystems.
What problems is the product solving and how is that benefiting you?
It addresses the unique challenges of managing massive volumes of time-series data, especially in IoT and industrial environments where data is collected continuously from various sensors and devices.