Why You Shouldn’t use a Relational Database for Time Series Data
Date: Tuesday, April 23, 2019
Time: 1:00 pm ET/ 10:00 am PT
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, Daniella Pontes, senior product marketing manager at InfluxData, will review why you should use a time series database (TSDB) for your important time series data and not one of the traditional data stores you may have used in the past, She will discuss how time series databases are built:
- With specific workloads and requirements in mind, including the ability to ingest millions of data points per second;
- To perform real-time queries across these large data sets in a non-blocking manner; to downsample and evict high-precision low-value data; to optimize data storage to reduce storage costs; to perform complex time-bound queries to extract meaningful insight from the data.
- These are all capabilities you would have to build yourself when using a traditional database.
Register for the webinar now!
Senior Manager Product Marketing
Daniella Pontes is part of the product marketing team in InfluxData, San Francisco. Having worked in various market segments, from embedded smart antenna technology to Internet security and e-commerce doing product management, partnerships, marketing and business development, she has a broad experience working cross-functionally and with customers and partners.