Why You Should NOT Be Using a Relational DB for Time-Stamped Data

Session Date: Oct 10, 2019
Time: 11:00am (PT) | 6:00pm (GMT) | 7:00pm (BST)

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, Anais Dotis-Georgiou, Developer Advocate at InfluxData, and Katy Farmer, DevRel at 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. They 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; and to perform complex time-bound queries to extract meaningful insight from the data. All of these are capabilities you would have to build yourself when using a traditional database.

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Anais Dotis-Georgiou

Product Manager, InfluxData

Anais Dotis-Georgiou is a Product Manager for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.

Katy Farmer

Katy lives in Oakland, CA with her husband and two dogs (at least one of whom talks to her about fun, technical stuff). She loves to experiment with code, break stuff, and try to fix it. She learned to code at Turing School of Software and Design in Denver, CO, and it gave her the perfect chance to break stuff before she knew how to fix it. Ask her about Ruby, OOP, Go, natural language processing, Russian Literature, Star Wars, Dragon Age, chord progressions. For extra credit, bring some Sour Patch Kids!