MongoDB is a popular NoSQL database allowing flexible, scalable, and high-performance JSON document data storage and processing.
The combination of EMQX and MongoDB streamlines your IoT data management, allowing you to stream JSON data directly from IoT devices to MongoDB for storage and analysis.
You can ingest, store, process, and analyze your IoT data all in one place, eliminating the need for complicated integrations and tedious data migrations. Say goodbye to data silos and hello to a unified view of your IoT data.
EMQX is built for handling real-time data streams, ensuring efficient and reliable data transmission from source systems to MongoDB. It enables organizations to capture and analyze data in real time, making it ideal for use cases requiring immediate insights and actions.
EMQX's distributed architecture and MongoDB's columnar storage format enable seamless scalability as data volumes increase. This ensures consistent performance and responsiveness, even with large datasets.
EMQX provides a powerful SQL-based Rule Engine, allowing organizations to pre-process data before storing it in MongoDB. It supports various data transformation mechanisms, such as filtering, routing, aggregation, and enrichment, enabling organizations to shape the data according to their needs.
MongoDB's powerful query language and support for complex analytical functions empower users to gain valuable insights from IoT data, enabling predictive analytics, anomaly detection, and more.
EMQX and MongoDB are both open-source solutions, meaning they are cost-effective compared to proprietary solutions. This can help reduce the total cost of ownership and improve the return on investment for IoT projects.
Using EMQX’s rule engine and flow designer, with just a few clicks, you can filter, extract, transform, and ingest MQTT data into MongoDB.