Is Real-Time Analytics Truly Real?
RTInsights, Friday, January 12th, 2024
Use cases that demand real-time analytics need a combination of technologies, including distributed storage, a distributed query engine, and caching, to handle petabytes and deliver results within seconds or even sub-seconds.
Real-time and customer-facing analytics necessitate analytical data systems to adopt capabilities typically reserved for transactional databases. Customer-facing systems demand databases that can manage high concurrency, while real-time data entails the ability to append and update ('upsert') swiftly data in real-time. Not every business decision labeled 'real-time' requires a dedicated analytical database; sometimes, a transactional database suffices. However, the case for real-time analytics becomes compelling when dealing with copious data, intricate analytics, and the need for low-latency responses.