Database requirements for IoT
The data generated by IoT devices tends to be large in both volume and frequency, placing a unique strain on the underlying data infrastructure. It is also likely to be time series based.
The number of IoT devices available for deployment is also growing, with newer generations of sensors creating more complex and varied data to analyze.
While many databases can be used to store IoT data, some are just better suited to IoT data than others. Due to the polymorphic nature of IoT sensor data, the database you choose needs to support flexible data schemas, make it easy for developers to work with the data, and ensure that your IoT applications are resilient to future changes.
To get the most out of your IoT platform, you need to use a database built to handle the following challenges:
Data variety: Data produced by IoT sensors can take many different forms. As your IoT ecosystem grows, you need a database that can easily evolve its data schemas without overhead and at scale.
Scalability: IoT devices produce massive amounts of data. To avoid outages or performance issues, you need a database that can easily and automatically scale.
Time series data: In order to reduce disk space and optimize data queries, time series data support is essential.