Sending Filtered MQTT Sparkplug Messages to MongoDB for IIoT Data Transformation: Part 2
Learn how to filter unnecessary Sparkplug metrics using a data policy method, and send the refined data to MongoDB via HiveMQ MongoDB Extension.
You don't need a separate database to support transactions, rich search, or gen AI. The world's most popular document database is now the world's most versatile developer data platform.
In partnership with HiveMQ, MongoDB introduces a new dimension to IoT deployments with its flexible and scalable database solutions. By integrating MongoDB's robust database technology with HiveMQ's MQTT platform, enterprises can effortlessly manage and store their IoT data, regardless of its volume or complexity. This collaboration enables businesses to build resilient, high-performance IoT applications that can adapt to changing requirements and scale seamlessly as their needs evolve. HiveMQ has an Enterprise Extension to integrate seamlessly with MongoDB.
Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, MongoDB's developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses.
Learn how to filter unnecessary Sparkplug metrics using a data policy method, and send the refined data to MongoDB via HiveMQ MongoDB Extension.
Learn how to transform Sparkplug data to JSON, optimize IIoT data processing, & integrate OT with IT using HiveMQ Data Hub and MongoDB Extension.
Learn how to construct a scalable and flexible Industrial Unified Namespace using HiveMQ and MongoDB in this webinar.
Ingest MQTT data into MongoDB database system to get real-time analytics, predictive analytics, & more to unlock the full potential of your IoT applications.
Integrate HiveMQ with MongoDB, allowing MQTT data to be stored persistently in your MongoDB database. The Enterprise Extension for MongoDB is available now for a free trial.
The new HiveMQ extensions help customers quickly & reliably integrate MQTT data with databases, such as PostgreSQL, MongoDB, TimescaleDB & CockroachDB
Choose between a fully-managed cloud or self-managed MQTT platform. Our MQTT experts can help you with your solution and demonstrate HiveMQ in action.