If you’re in need of a platform to handle data streaming and message queuing, you have a few options. https://thenewstack.io/apache-pulsar-a-unified-queueing-and-streaming-platform/ for instance, was designed from the beginning to be able to handle streaming and message queuing.
Data in motion is data that is actively being transferred or processed, such as streaming data or messages sent and received in https://thenewstack.io/now-is-the-time-to-define-real-time/ Examples include low-volume message queuing data, high-volume streaming data, web clickstreams, https://thenewstack.io/what-does-it-mean-to-be-on-the-internet-of-things/ sensor data, weather and traffic data, vehicle telemetry, business transactions, microservices interactions, airline reservations, bank transactions, point-of-sale records and more.
Apache Pulsar can handle data in motion and offers cost-effective solutions for data that is not frequently accessed — data at rest.
Apache Pulsar is designed to have a lower total cost of ownership (TCO) compared to other messaging and streaming platforms.