

The shifting waves of enterprise computing always seem to uncover exciting new possibilities.
One of those is time series data, collected over several repeating points in time. InfluxData Inc., the company behind the open-source time series database, InfluxDB, has grand plans for enterprises looking to build real-time applications for analytics and IoT in less time and with less code.
“What we’re seeing is time series is becoming the new paradigm,” said Arwa Kaddoura (pictured, right), chief revenue officer at InfluxData. “That’s enabling a whole set of new use cases that have never been enabled before. People are generating these large volumes of data and need a platform that can ingest millions of points per second.”
Kaddoura and Brian Mullen (pictured, left), chief marketing officer at InfluxData, spoke with Dave Vellante, host of theCUBE, SiliconANGLE Media’s livestreaming studio, during AWS re:Invent. They discussed the real use cases driving the popularity of InfluxDB and time series data. (* Disclosure below.)
Companies increasingly require time series data in various contexts, from physical devices, such as temperature sensors, wearable devices, and large EV batteries, to virtual environments, including containers and microservices. The data pulled from these sources is often too large for existing platforms to handle.
“We have customers like PayPal in the software infrastructure side. We also have quite a bit of activity among customers on the IoT side,” Mullen explained. “Tesla is a customer; they’re pulling telematics and battery data off of the vehicle, pulling that back into their cloud platform. Nest is also our customer. Think of all that data that’s coming from those units.”
There are several different database suites commonly used today, but InfluxDB is one of the few purpose-built for time series applications, according to Mullen.
“In that minute, in the last hour, [devs] want to see all the data and have the full context for what’s going on,” he said. “Maybe later, you may not care about that level of fidelity [and want] a summarized view of what happened in that moment. Being able to toggle between high fidelity and low fidelity is a hard problem to solve. InfluxDB allows for that.”
InfluxData is a long-time Amazon Web Services Inc. partner. Its database and product suite rely on many of the adjacent AWS products that developers use as part of its closely-knit ecosystem.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of AWS re:Invent. (* Disclosure: InfluxData Inc. sponsored this segment of theCUBE. Neither InfluxData nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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