In the context of big data, what is the primary limitation of traditional data processing applications?

The primary limitation of traditional data processing applications is their inability to efficiently process large volumes of data. Traditional systems are often designed for structured data and are limited in scalability. They struggle to handle the vast amounts of data generated in real-time due to the growth of sources like social media, sensors, and online transactions. As data volume increases, traditional systems can become slow and inefficient, resulting in longer processing times and potential data backlogs.

In contrast, big data technologies are built specifically to manage and analyze expansive datasets with speed and efficiency, enabling organizations to gain insights from data that traditional systems cannot handle effectively. This capability is crucial for businesses aiming to leverage data for decision-making and competitive advantage in an increasingly data-driven environment.