Why You Should NOT be Using a Relational DB for Time-Stamped Data
Session date: Nov 07, 2019 11:00am (Pacific Time)
We are always looking for ways to make our solutions work better and smarter. We accomplish this by tracking the performance of each of the components underlying our solution. All this critical performance data has a time stamp and a value - also known as time series data. If this important time-stamped data is at the heart of initiatives to keep things performant, why are we entrusting this data to an ordinary relational database?
In this webinar, Caitlin Croft of InfluxData, will:
- Review why you should use a time series database (TSDB) for your important times series data and not one of the traditional datastores you may have used in the past
- Discuss how time series databases are built with specific workloads and requirements in mind, all capabilities you would have to build yourself when using a traditional database
Caitlin Croft
Caitlin Croft is the Customer Marketing Manager at InfluxData. She is passionate about working with customers, discovering how they're using InfluxDB and sharing these stories. Prior to joining InfluxData, she worked at various tech companies including: Hitachi Vantara, Pentaho and AppDynamics. She holds a Bachelor of Commerce from the University of Northern British Columbia. Caitlin lives in San Francisco and in her free time enjoys traveling, reading and trying new delicious restaurants.