Relational databases aren’t very well suited to time-series data in some ways, but MySQL is powerful and flexible. At VividCortex, we have found that it’s a good storage engine to support a large-scale, high-velocity time-series database in the AWS cloud.
In this webinar, Baron Schwartz, our CEO and Founder discusses our unique time-series data requirements. He explains the following:
How we built a solution using MySQL and additional components such as Redis
Why we needed more than just MySQL to meet the requirements
The good and bad aspects of our architecture
Thoughts for the future of our time-series data architecture
You will leave the talk with a greater understanding of MySQL’s capabilities related to time-series data. Submit the form below to access a recording of the webinar.