As an open-source program, Tobias never received great financial gain from his endeavour, but he did gain great respect and recognition in the computer science world. His contribution marked a great moment in the development of Big Data storage and data analysis.
The RRD Tool has been used for numerous metric monitoring projects, and tracking satellites, and was even utilized by weather stations.
Today when comparing the RRD Tool to new database solutions, it still renders competitive advantages. While it may need more previous information to get the project started, once you have your data set in, the process is quite easy to extract. This is contrary to other databases available, like InfluxDB, that make initial data set storage a breeze, but once you need to extract your data, you may come across issues if you haven’t stored your data in a specific way.
Another competitive advantage that the RRD Tool has is that it is great for systems that run for a long time periods. The RRD Tool implements mandatory deletion of old data which eliminates the issue of filling up disc space. This is unlike many modern database solutions, as they are often based out of the classic database-style where data is continuously stored until you manually have to do something with the old data.
In the time series analysis world, we have seen a lot of development in data storage, which often times is available for free, and even in data monitoring, time series modeling and troubleshooting. But the same question continues to resurface, “How can we get the most value from our vast amounts of data?”