Batch Processing vs. Stream Processing: Why Batch Is Dying and Streaming Takes Over

In the digital age, data is the new currency and is being used everywhere. From social media to IoT devices, businesses are generating more data than ever before.
With this data comes the challenge of processing it in a timely and efficient way.
Companies worldwide are investing in technologies that can help them better process, analyze, and use the data they are collecting to better serve their customers and stay ahead of their competitors.
One of the most important decisions organizations make when it comes to data processing is whether to use stream or batch processing. Stream processing is quickly becoming the go-to option for many companies because of its ability to provide real-time insights and immediately actionable results. With the right stream processing platform, companies can easily unlock the value of their data and use it to gain a competitive edge. This article will explore why stream processing is taking over, including its advantages over batch processing, such as its scalability, cost-effectiveness, and flexibility.

Let’s recap some of the basics first.