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.
Join us next Tuesday, December 9, at 2 PM EST (7 PM GMT) as Baron Schwartz, our CEO and Founder discusses our unique time-series data requirements. He will explain 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
- Performance statistics
- 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. Please register here, and no worries if you cannot attend the webinar. We will send you a recording.
About the speaker
Baron is one of the world’s leading experts on MySQL, and has helped build and scale some of the largest web, social, gaming, and mobile properties. His award-winning tools are used by tens of thousands of large MySQL deployments, including Facebook and Twitter. His book High Performance MySQL is widely acknowledged as the definitive reference for MySQL. As an author, consultant, speaker, and conference organizer, Baron has deep connections in the MySQL and DevOps communities and beyond. Before founding VividCortex, Baron led sales, marketing, consulting, support, and software engineering at Percona, the leading MySQL consulting and support company.