- Building reliable and scalable business critical IoT applications
- Fast data delivery to meet the expectations of end users for responsive IoT products
- Lower cost of operation through efficient use of hardware, network and cloud resources
- Integrating IoT data into existing enterprise systems
HiveMQ Key Features
Scalable MQTT Broker
HiveMQ MQTT broker instances scale with the underlying hardware. The non-blocking and multi-threaded approach allows up to 10,000,000 concurrent device connections while maintaining extremely fast throughput and adding minimal latency.
Check out our benchmarks
Efficient Network Utilization
Unlike HTTP, HiveMQ and MQTT is based on a pub-sub architecture so the total network traffic is reduced since there is no client polling. MQTT message size is also significantly smaller than HTTP so the amount of data passing through the network is reduced.
Reliable Data Delivery
Data delivery over unreliable networks can be a challenge. HiveMQ implements all MQTT Quality of Service levels, including at most once, at least once and exactly once delivery. HiveMQ's support for advanced message retention policies and offline message queuing are essential to accommodate network latency.
Enterprise Data Integration @Scale
Enterprise data integration is achieved through bi-directional transmission of data between a HiveMQ MQTT broker and an enterprise system that act as an MQTT client. Using MQTT pub-sub protocol, each enterprise systems' MQTT client subscribes to the data that needs to be integrated. HiveMQ's MQTT Shared Subscription implementation makes it possible to horizontally scale the MQTT clients so the enterprise integration is scalable and reliable.
HiveMQ is architected with a truly distributed and masterless cluster architecture, which means there is no single point of failure and the cluster can grow and shrink at runtime without losing data or availability. Support for Kubernetes, OpenShift and DC/OS make it possible to automatically scale HiveMQ to meet the requirements of your IoT application.
Real-time Data Monitoring
Administrators can use HiveMQ dashboard to monitor the real-time data passing through the MQTT broker and MQTT clients connected to your IoT application. For each MQTT client, an administrator can see a 360° overview of the client status, disconnect a client, remove the MQTT session, and add/remove subscriptions. For advanced troubleshooting, HiveMQ allows you to create trace recordings that can be used to identify issues and bottlenecks in your deployed IoT applications. An overall summary dashboard gives an operation team the complete real-time overview of the broker cluster and general health of the system.
HiveMQ is designed to secure the IoT data from device to enterprise systems. Data transport is secured by industry standards like TLS 1.3, secure websockets and state-of-the-art cipher suites. Support for authentication and authorization includes, X.509 certs, username/password, IP-based authentication, and an API that allows for custom authentication, authorization and permission logic such as OAuth 2.0 integration.
Extension Framework and Marketplace
An open API and a flexible extension framework makes it possible to integrate HiveMQ and your IoT data into existing enterprise systems. The extension framework allows developers to quickly create extensions for custom data processing, device authentication and device authorization mechanism. HiveMQ also provides a marketplace of pre-built extensions for Kafka, Oracle DB, MongoDB and other systems.
100% MQTT Compliant
HiveMQ's MQTT broker is 100% compliant with the MQTT 3.1, MQTT 3.1.1 and MQTT 5 specification. We also allow MQTT 3 and MQTT 5 clients to communicate with HiveMQ at the same time. All advanced features like topic wildcards, persistent sessions with offline queuing, retained messages and all Quality of Service levels are available at scale.
MQTT Client Libraries
HiveMQ can be deployed on a private, hybrid and public cloud. Pre-built images can be deployed on private clouds using Kubernetes, OpenShift and DC/OS. The supported public cloud platforms include AWS and MS Azure. HiveMQ can also run natively on Linux, Windows and OS X.
Fully Managed MQTT Cloud Service
HiveMQ Cloud is our cloud native IoT messaging service that simplifies the deployment and management of MQTT platforms. Our fully managed MQTT Cloud Platform creates scalable and reliable MQTT cloud-broker clusters that are built for production - with just a few clicks.