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.
Blog
Skip to content 
HiveMQ Enterprise Extension
for MongoDB
This extension seamlessly integrates MQTT data with MongoDB, unlocking the full potential of IoT data analytics.
Category: Data Integration
Version: Bundles with HiveMQ
License: Commercial
Provider: HiveMQ
Verified: Yes
Overview
MongoDB is an open-source, document-oriented database system. MongoDB is designed for scalability, high availability, and performance, which makes it suitable for various types of applications including big data, analytics, and IoT. The HiveMQ Enterprise Extension for MongoDB makes it possible to:
Convert MQTT messages into MongoDB documents with a flexible templating system.
Ensure MQTT messages are formatted optimally for streamlined data querying.
Forward MQTT messages from IoT devices to one or more MongoDB databases.
Support SCRAM authentication and connection URIs for MongoDB, along with TLS encryption.
Why HiveMQ and MongoDB?
HiveMQ’s MQTT platform is the ideal choice for supplementing your investment in MongoDB. Unlock the power of IoT with HiveMQ and MongoDB with these key features:
Real-time Analytics
Analyze IoT data to provide real-time insights into device performance, user behavior, and environmental conditions for swift decision-making.
Predictive Analytics
Utilize MongoDB's machine learning capabilities with real-time sensor data to build predictive models for pattern identification and trend analysis.
Historical Trend Analysis
Use MongoDB to store and analyze new and historical IoT data to identify trends and patterns over time.
Data Visualization
Create curated reports and dashboards, providing data visualization and empowering stakeholders to make informed decisions.
HiveMQ Extensions
HiveMQ extensions are plugins that provide seamless integration with streaming services, databases, data warehouses, and security services. There is a Custom SDK to build tailored extensions for specific integration needs.
Scalability
Extensions usage scales along with the rest of the cluster and each enterprise extension is designed and tested for use in a cluster.
Availability
Extensions run on each cluster node, so if a node exits the cluster the extension will be present on the replacement node.
Manageability
No separate nodes to manage. Easily manage cluster-wide configuration in a Kubernetes cluster with the HiveMQ Operator.
HiveMQ and MongDB Resources
Top recommended resources to help you unlock the power of IoT with HiveMQ and MongoDB.
Sending Filtered MQTT Sparkplug Messages to MongoDB for IIoT Data Transformation: Part 1
Learn how to transform Sparkplug data to JSON, optimize IIoT data processing, & integrate OT with IT using HiveMQ Data Hub and MongoDB Extension.
Blog
Building an Industrial Unified Namespace with HiveMQ and MongoDB
Learn how to construct a scalable and flexible Industrial Unified Namespace using HiveMQ and MongoDB in this webinar.
Webinar
MQTT Data Integration with MongoDB
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.
Blog
Building a Reliable and Scalable IoT Platform
How to Build a Scalable and Reliable IoT platform: Guidelines and Best Practices taken from the real-world use case of fleet management
Blog
Get started with HiveMQ today
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.
