March 22, 2023
Many organizations are leveraging real-time data and analytics today to remain competitive and successful in a complex and ever-evolving environment.
Real-time data provides businesses with current information, allowing them to make informed (often automated) decisions quickly. Modern analytics and applications often require very fast data—use cases in some organizations require millisecond response times.
The challenge organizations have in dealing with extreme real-time data is that their architecture simply cannot scale to support high-volume/high-velocity data-intensive workloads. Traditional platforms cannot process millions of concurrent transactions per second while maintaining low latency and high throughput with no data loss. An increasing number of use cases need a modern real-time platform that can handle massive amounts of data.
This TDWI Checklist Report examines five types of business use cases for extreme real-time data that can benefit a wide range of organizations. It also discusses how a modern real-time data platform can support these use cases.