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Why You Should Not be Using a Relational DB for Time-Stamped Data

By Ken Briodagh
January 27, 2020

In the IoT, the modus operandi is to always look for ways to make solutions work better and smarter. The way to accomplish this is by tracking the performance of each of the components underlying a given 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 performing, why are we entrusting this data to an ordinary relational database?

In an upcoming webinar from InfluxData, taking place Wednesday, February 5, 2020 at 2 p.m. ET/11 a.m. PT., entitled Why You Should Not be Using a Relational DB for Time-Stamped Data, Daniella Pontes 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 datastore 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.

Click here to register:

Ken Briodagh is a storyteller, writer and editor with about two decades of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.

Edited by Ken Briodagh

Editorial Director

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