Sashulin Message Broker Reviews

Macaw AMS can be used to sell Insurance. Macaw AMS can be used by brokers, MGAs or MGUs, Program Managers, and Lloyds Coverholders to automate their operations. Macaw AMS was built with a customer-centric approach. It supports CRM, Sales and Underwriting. Customers, producers, and service providers can access self-service portals. Macaw AMS has built-in Document Management and Task Management capabilities. It is equipped with adaptors that allow for integrated and in-flow services such as eSignature, Payments, OFAC checks, Mass Emailing, Computer Telephony, and Mass Emailing, using 3rd Party Services. The data analytics part of Macaw AMS offers powerful data visualization with predefined dashboards, allowing users to easily upload datasets and view dynamic charts for clear, multi-dimensional insights. Interactive, real-time visualizations help uncover trends and insights, driving informed decision-making. Macaw AMS is hosted on cloud and tested for cybersecurity. The database is relational, and the core components of the Java-based application are written in Java. Macaw AMS is capable of processing 500-1000 policies per day at its peak. Macaw AMS is expected reduce per policy costs by 30%.

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