MongoDB has introduced serverless databases in its Atlas platform, offering an on-demand endpoint that scales based on workload demand and only charges for the resources used. This eliminates capacity sizing and management, making it a great option for infrequent workloads with cycles of usage combined with longer idle periods. The scalability and cost model make serverless databases suitable for applications that require automation, such as tracking fitness goals, collecting web content, or monitoring productivity. The Atlas hackathon showcased the potential of serverless databases in various use cases, including storing data aggregation and analysis, compiling articles, and creating monthly reports. Developers can try serverless databases in MongoDB Atlas to speed up development and optimize resource spend, making it an attractive choice for modern application development.