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Extension

HiveMQ Enterprise Integration

for MariaDB

Data AnalysisMariaDB

Easily integrate MQTT data with MariaDB to unlock the full potential of IoT data analytics by using the MySQL extension.

Enterprise Integration for MariaDB

Overview

Integrate with Maria by using the HiveMQ MySQL Extension. MariaDB Server is one of the most popular open source relational databases. It's made by the original developers of MySQL and guaranteed to stay open source. With HiveMQ Enterprise Extension for MySQL, it is possible to:

  • Forward MQTT messages from IoT devices to one or more MariaDB Databases.
  • Convert MQTT messages into MariaDB rows with convenient statement templates and insert statements.
  • Optimize data formatting for efficient data querying and quick analysis.

Why HiveMQ and MariaDB?

HiveMQ’s MQTT platform is the ideal choice for supplementing your investment in MariaDB to unlock the full power of data analytics.

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 analytical tools with MariaDB to query real-time sensor data and build predictive models for pattern identification and trend analysis.

Historical trend analysis

Use MariaDB 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.

Get started with HiveMQ today

Choose between a fully-managed cloud or self-managed platform. Our experts can help you with your solution and demonstrate HiveMQ in action.