Since the big bang in the data technology landscape happened a decade and a half ago, giving rise to technologies like Hadoop, which cater to the four ‘V’s. — volume, variety, velocity, and veracity there has been an uptick in the use of databases with specialized capabilities to cater to different types of data and usage patterns. You can now see companies using graph databases, time-series databases, document databases, and others for different customer and internal workloads.
Apache Cassandra™ is a wide-column, NoSQL database that is ideal when used for append-only, write-intensive workloads that capture data from IoT sensors, GPS devices, transaction logs, any time-series applications, and more. A lot of these applications need to be coupled with visualization engines for creating reports and dashboards. As most of the visualization libraries are written in JavaScript, using Node.js to interact with the database and the visualization engine is a good idea.