Appsee, a mobile analytics platform, relies heavily on MongoDB to ingest and analyze its vast amounts of time-series data from customers' mobile apps. With 20 billion documents stored across a MongoDB cluster in the cloud, Appsee uses MongoDB's scalability, high insert performance, reliable data storage, flexible data model, and developer ease-of-use to power its real-time analytics service. The company leverages MongoDB's aggregation pipeline, secondary indexes, and rich analytics capabilities to deliver deep insights into user behavior, enabling businesses to increase engagement, conversion, and monetization. With a 5-shard MongoDB cluster running on AWS, Appsee has achieved impressive scale, handling around 50,000 operations per second and storing 15TB of data. The company credits MongoDB's open development process, collaborative community, and platform efficiency for its success in delivering high-quality analytics to mobile app owners.