DaaS with MongoDB and Confluent` involves using an operational data layer (ODL) to centrally integrate and organize siloed enterprise data, making it available to consuming applications. An ODL can support any consuming system that requires access to data, enabling a range of strategic initiatives such as legacy modernization, data as a service (DaaS), single view, real-time analytics, and mainframe offload. MongoDB is used for DaaS due to its unified data infrastructure, ease, flexibility, speed, versatility, data access and APIs, reliability, scalability, availability, and portability. Confluent plays a role in supporting the use of MongoDB by providing an enterprise-ready platform that complements Apache Kafka with advanced capabilities designed to accelerate application development and connectivity.