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High-Performance, Scalable Time-Series Database for Industrial IoT
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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TDengine Unlock the Power of Time-Series Data.
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.
TDengine is Smart Time-Series Database for IoT and Big Data.
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.
It is a High-Performance Solution for Time-Series Data Management.
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.
it is a optimized Solution for IoT and Time-Series Data
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.
Best in business with lots of feature. ease of integration
What do you like best about the product?
Best in the business. Very Easy to integrate, not to mention greate customer support
What do you dislike about the product?
Ui could be better its great but seems confusing sometimes
What problems is the product solving and how is that benefiting you?
In the modern industry. we have to use already built plugins and fetures provided by third party and TDengine seems to provide one
TDengine Review: A High-Performance Time-Series Database for IoT and Beyond
What do you like best about the product?
TDengine is a high-performance, scalable time-series database optimized for fast data ingestion, efficient storage, and built-in analytics, ideal for IoT and real-time monitoring applications.
What do you dislike about the product?
TDengine can have a steep learning curve for users new to time-series databases, and its ecosystem may feel limited compared to more established databases.
What problems is the product solving and how is that benefiting you?
TDengine solves the challenge of storing and analyzing massive time-series data efficiently, making it ideal for monitoring and IoT applications that need real-time insights with minimal storage costs.
Integration with my app and website is quite easy and seems to be reliable
What do you like best about the product?
Integration with my app and website is quite easy and seems to be reliable. It was so easy that we are planing to move to this db in our permanent product
What do you dislike about the product?
UI Could be better. Sometimes it seems confusing
What problems is the product solving and how is that benefiting you?
In the current industry we need a product like this so that devs can integrate this with ease and keep working on other complex things
Efficient and Scalable: My Experience with TDengine
What do you like best about the product?
It combines efficiency, scalability, and ease of use in a way that stands out in the time-series database space.
What do you dislike about the product?
It is highly efficient for time-series data, it may not be as well-suited for non-time-series data use cases, limiting its versatility in more diverse database applications.
What problems is the product solving and how is that benefiting you?
For me, the main benefit is the ability to manage large-scale time-series data with ease, without sacrificing performance.
Powerful Time-Series Database for High-Performance IoT and Real-Time Analytics
What do you like best about the product?
its exceptional performance in handling time-series data with high scalability and low-latency. It’s specifically optimized for IoT and real-time analytics, which makes it ideal for applications requiring fast ingestion and querying of large volumes of time-series data.
What do you dislike about the product?
its relatively limited ecosystem compared to more established databases like InfluxDB or TimescaleDB. While TDengine performs exceptionally well for time-series data, its documentation and community support can sometimes feel less comprehensive, making it harder to troubleshoot or find resources for specific use cases.
What problems is the product solving and how is that benefiting you?
For me, TDengine’s benefits are clear: it simplifies the process of handling large amounts of time-series data without compromising on performance. It significantly improves the speed of both data writes and complex queries, especially when dealing with sensor data or logs from devices.
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