Jeff Tao, TDengine: Becoming the de-facto standard IoT big data platform

Jeff Tao, Dentine: It has become the de facto standard IoT big data platform Can you tell us a little about the company and what it offers? Dentine creates innovative products for collecting, storing, calculating and analyzing time series data based on the application team’s deep understanding of the characteristics of time series data. Dentine’s flagship product is an open source time series database with high performance, scalability and SQL support. What are the top IoT big data trends you’re seeing right now? With more and more devices connected to the Internet, the amount of IoT data is growing exponentially. We need an efficient data storage/analysis tool. Real-time time series computation (forecasting and warning) will be an essential part of the IoT data platform. As a relatively young startup, how do you stand out in a market that competes with large companies that have been around for a long time? Dentine differentiates itself from other competitors with its hardcore technology within the product. Compared to other time series databases, the main differences included in the product are high performance, scalability and native SQL support. These benefits reduce the total cost of ownership of a big data IoT platform by at least 80%. Why do developers choose Dentine over anything your competition offers? What makes it stand out from the crowd? Compared to other open source TSDBs, Dentine’s clustering feature is open source. Cluster functionality is a key feature for an IoT data platform, as the system must be scalable to accommodate growing business and higher data volumes. Most open source TSDBs do not support clustering. On the other hand, Dentine is a developer tool. Installation and cluster setup can be done in seconds. Runtime status can be monitored via Graafian or other DevOps tools. The cost of running a Dentine cluster is close to zero. In addition, it uses the most popular SQL as the query language instead of a proprietary language like many other TSDBs. This feature reduces learning and migration costs. Meanwhile, Dentine supports SQL extensions for better processing of time series data and provides convenient and flexible schema-free data entry. In short, Dentine is a tool built for developers and wants developers to succeed. Can you give us practical examples of what companies or industries are doing with Dentine? Dentine is widely used in many industries. For example, a logistics company can store fleet location data in Dentine and monitor fleet movements. Clean energy power plants collect data from wind turbine, solar panel which can be stored in Dentine for real time analysis. Manufacturing often generates tons of process data, the data can be stored in Dentine for processing. All types of monitoring systems (environments, IDCs, servers, containers, etc.) can use Dentine as their database. Can you tell us about Dentine Community Edition? Dentine community edition is an open source edition, it has all basic features including cluster feature like business edition. The business version has many auxiliary features such as securities, data encryption, management GUI. The company raised $47 million in funding last May. How is this money invested? The money raised is used to attract more talent. To date, Dentine has more than 80 employees worldwide. We plan to hire more talent. What are the company’s plans for the coming year? Dentine has a new major version with many features. We also want to promote it globally to have a higher market penetration rate. Our long-term goal is to make Dentine the de facto standard for IoT big data platform. Want to learn more about cybersecurity from industry leaders? Check out the Cyber​​​​​​Security & Cloud Expo. Additional events in the series will be held in Santa Clara on May 11-12, 2022, Amsterdam on September 20-21, 2022 and London on December 1-2, 2022. Check out other upcoming enterprise technology events and webinars powered by Tech Forge here.