The two types of data integration: batch vs. real-time

In the second episode of Zynk’s Data Integration Deep Dive series, we explore the key differences between batch processing and real-time data integration, two powerful methods shaping the way businesses manage and process data.

Batch processing is the classic, reliable workhorse, handling large chunks of data efficiently: think of end-of-month reports or payroll systems. On the other hand, real-time data integration brings speed into the equation, processing data instantly, like getting live sports updates or tracking an online order in real-time.

In this episode, we break down why businesses need both approaches to stay agile and deliver seamless customer experiences. We also touch on how the growing demand for faster insights means more businesses are blending these two methods to get the best of both worlds. Whether it’s analysing buying trends in bulk or instantly processing orders, the combination of batch and real-time integration is becoming essential in today’s data-driven landscape.