Amazon Kinesis Extension
Effortless bi-directional MQTT data movement between IoT devices and AWS services such as Amazon Kinesis Data Streams for IoT data analytics.
License: Commercial
HiveMQ Extensions enhance our MQTT broker with additional functionalities, including seamless data integration with streaming and analytics platforms, robust data security, and comprehensive monitoring to enhance application performance. We also have a Custom SDK to build tailored extensions and a community-supported open-source library of extensions.
HiveMQ offers purpose-built platform extensions that seamlessly integrate with leading data streaming and cloud platforms, enabling real-time data processing, analysis, storage, and more. These powerful extensions work in perfect harmony to streamline multi-cloud integration in IoT environments.
Effortless bi-directional MQTT data movement between IoT devices and AWS services such as Amazon Kinesis Data Streams for IoT data analytics.
License: Commercial
Ingest MQTT data directly from the Google Cloud platform to Google Big Query and other Google services using HiveMQ Google Pub/Sub Extension.
License: Commercial
Effortless bidirectional MQTT data movement between IoT devices and Kafka clusters. Learn more.
License: Commercial
HiveMQ offers purpose-built platform extensions for seamless integration with popular databases and data analytics platforms. These extensions secure MQTT data transfer via TLS encryption and feature data customization templates to convert MQTT messages into specific data formats — for optimized data ingestion and retrieval.
Seamlessly integrate MQTT data with a cloud-based data lake on Databricks, Snowflake, or AWS via Amazon S3.
License: Commercial
Get seamless MQTT data integration between IoT/IIoT devices and the Snowflake Data Cloud with HiveMQ Enterprise Extension For Snowflake. Learn more.
License: Commercial
Ingest MQTT data into MongoDB database system to get real-time analytics, predictive analytics, & more to unlock the full potential of your IoT applications.
License: Commercial
Ingest MQTT data into Azure SQL and Microsoft SQL Server database systems to get real-time and predictive analytics.
License: Commercial
Ingest MQTT data into MySQL database system to get real-time and predictive analytics. Unlock the full potential of your IoT applications.
License: Commercial
Ingest MQTT data into PostgreSQL database system to get real-time and predictive analytics. Unlock the full potential of your IoT applications.
License: Commercial
Integrate MQTT data with CockroachDB to analyze time-stamped data and enhance operational efficiency in energy, manufacturing, and more.
License: Commercial
Ingest MQTT data into MariaDB database system to get real-time and predictive analytics. Unlock the full potential of your IoT applications.
License: Commercial
Integrate MQTT data with Timescale database to analyze time-stamped data and enhance operational efficiency in energy, manufacturing, and more.
License: Commercial
An ever expanding list of commercial extensions we license and support.
Bridge multiple MQTT brokers for scalable, reliable, & bi-directional data exchange. Get fine-grained configuration & logging capabilities for monitoring.
License: Commercial
Monitor and track MQTT data end-to-end & in real-time on your APM solution with HiveMQ Distributed Tracing Extension featuring OpenTelemetry integration.
License: Commercial
The HiveMQ Enterprise Security Extension (ESE) expands the role, user, and permission-management capabilities of HiveMQ’s Platform.
License: Commercial
The open API of the HiveMQ extension framework gives developers the freedom to create custom extensions to fit their specific business needs. This framework allows developers to seamlessly augment HiveMQ MQTT broker functionality with custom business logic and use the framework to integrate HiveMQ with virtually any external system.
This HiveMQ Extension allows HiveMQ to report its metrics to AWS CloudWatch. Elevate monitoring of your MQTT-based IoT applications.
License: Apache 2.0
Allow HiveMQ cluster nodes to discover each other dynamically via Azure Blobs in an Azure Blob Storage Container. Learn more.
License: Apache 2.0
Operate elastic HiveMQ clusters with a container orchestration platform, such as Kubernetes, Openshift, etc. and cloud environments. Learn more.
License: Apache 2.0
The Deny Root Wildcard Subscriptions Extension denies any subscription to the root wildcard topic.
License: Apache 2.0
The InfluxDB Monitoring extension allows HiveMQ to connect to an instance of InfluxDB for time series monitoring.
License: Apache 2.0
Allow HiveMQ cluster nodes to discover each other dynamically by regularly exchanging their information via S3 from Amazon Web Services (AWS).
License: Apache 2.0
Get HiveMQ cluster nodes to discover each other dynamically by regularly exchanging their information via etcd. Learn more.
License: Apache 2.0
This monitoring extension can be leveraged to gather metrics from MQTT Sparkplug and persist them into a InfluxDB database.
License: Apache 2.0
The HiveMQ MQTT Message Log Extension provides the possibility to follow up on any clients communicating with the broker on the terminal.
License: Apache 2.0
The Prometheus Monitoring extension allows HiveMQ to expose metrics to a Prometheus application.
License: Apache 2.0
Perform seamless integration of HiveMQ with load balancers and proxies, by creating an HTTP endpoint that can be used for health checks.
License: Apache 2.0
Improve MQTT-based IoT application security with the File Authentication & Authorization Extension. Implements Access Control based on a configuration file.
License: Apache 2.0
Use this Sparkplug aware MQTT broker to fulfill the optional requirements essential for Sparkplug 3.0 compatibility certification.
License: Apache 2.0
Explore HiveMQ Splunk Extension, a solution to map MQTT topics to Splunk indexes & forward messages to multiple instances for IoT observability.
License: Commercial
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.