Compare Cloud Studio IoT vs. HiveMQ

Cloud Studio IoT is a versatile, white-label platform designed for multiple tenants in the IoT and Industrial IoT sectors, catering to businesses such as system integrators, device producers, and service providers. Each partner can utilize a single instance to accommodate all of their customers, who will only access their own data while operating under the partner's brand identity. Devices establish connections via MQTT with TLS, the HTTPS API, or TCP, while LoRaWAN devices connect through various external network servers like The Things Stack, LORIOT, ThingPark X, Helium, ChirpStack, Orbiwise, and IoT Creators; Modbus and OPC UA devices interface through a software gateway located at the edge. Additionally, the platform offers extensive features including dashboards, web SCADA views, automated rule-based actions, threshold alerts communicated through email, SMS, WhatsApp, voice calls, and push notifications, as well as scheduled reporting and role-based access control. There is also a documented REST API available, along with mobile applications for both iOS and Android, and an AI Copilot that operates on the user's telemetry data. The system can be deployed on AWS or maintained on-premise, and it currently supports over 150,000 devices actively connected and operational. This comprehensive suite of tools enables companies to efficiently manage their IoT solutions while ensuring security and scalability.

The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights: 1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems. 2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure. 3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems. 4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability. 5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most. 6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own 7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour 8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades