Over the past decade, there has been a fundamental shift in how companies manage data, moving from traditional batch processing to real-time processing to meet the demands of modern business. Batch processing, which collects and processes data at set intervals, is increasingly insufficient in industries where immediate decision-making and customer satisfaction are critical. Real-time processing addresses these challenges by providing instant updates that enhance decision-making, improve customer experiences, and manage exploding data volumes efficiently. It eliminates operational bottlenecks in data pipelines and supports business use cases that require continuous insights, such as fraud detection and dynamic pricing. Transitioning to real-time systems is essential for businesses to remain competitive, allowing them to respond swiftly to customer needs and market changes while also scaling with growing data volumes.