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Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →
https://www.linkedin.com/in/jane-fine-a798451/ Time-series databases are the fastest growing database category today. With the explosive growth of Internet of Things (IoT) sensors, organizations need ways to store and analyze tremendous amounts of time-series data, which can include nearly any type of measurement taken at time intervals.
As the number of possible IoT, fintech and e-commerce use cases grows, so does the number of application developers working with time-series data.
Ultimately, you need a solution that helps you maximize the value of time-series data for app users without requiring you to spend excessive time integrating data stores or managing the database.
Small, inexpensive IoT sensors and fast, reliable wireless networks have made it easier than ever for organizations to generate and collect time-series data.
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