Data-intensive applications are designed to manage large volumes of data from millions of customers and use it to determine future business strategies. These applications require high concurrency in data access, fast-changing data streams, super low latency, large datasets with quick ingestion of data, and fast analytics. They often rely on distributed databases to meet these needs and offer benefits such as real-time analytics, scalability, and sub-second latency. The shift in perspective from logic to business data has led to the evolution of application development, where data is now at the forefront of application development, defining an application's business logic based on both historical and current data.