In industrial and enterprise environments, a unified namespace (UNS) provides a real-time, event-driven, scalable architecture that integrates operational and IT data. Within this framework, MongoDB Atlas provides stream processing, persistent storage, and real-time analytics. Additionally, an MQTT platform like Cedalo functions as the backbone of the UNS due to its lightweight nature.
This whitepaper explores how to build a reliable, scalable, and flexible UNS architecture combining an MQTT broker, a Kafka event streaming platform, MongoDB as the operational data layer, and a data warehouse for historical analytics. This implementation enables real-time data analysis, stream processing, and persistent storage, ensuring data-driven decisions with minimal latency and maximum reliability.
Build your UNS with MongoDB, and benefit from the following capabilities:
- Document data model: Use the document model to handle diverse data structures and new data sources for a smooth flow of information.
- Gen AI application development with ease: Perform semantic searches on vector embeddings stored in MongoDB Atlas with MongoDB Atlas Vector Search. Integrate large language models (LLMs) to provide relevant context in retrieval-augmented generation (RAG) systems. Connect gen AI apps to your UNS database to ensure accurate and reliable information retrieval.
- Real-time data processing: Access real-time data updates with MongoDB Change Streams to monitor, alert, and run real-time analysis. React instantly to critical events.
- Scalability and high availability: Scale effortlessly, both vertically and horizontally, to handle vast amounts of data from sensors, machines, and processes.
