Vendor Insights
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.
Details
Features and programs
Skip the manual risk assessment. Get verified and regularly updated security info on this product with Vendor Insights.
Security credentials achieved
(1)
SOC2
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
Dimension | Cost/unit |
|---|---|
TDengine Cloud Usage | $1.00 |
Vendor refund policy
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
TDengine Cloud includes a built-in support ticketing system. For additional support, contact us at
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Testing simulation of your infrastructure, DBMS & DBaaS setup to eliminate risks and problems.
Database Performance Benchmarking Evaluation
By benchANT
DBMS and DBaaS benchmarking for performance, scalability, cost analysis and comparison
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
Leave a comment0 comments
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
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.
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.