Azure Event Grid Reviews

PBRS is a third-party tool that enhances the functionality of Power BI reports by providing advanced features for scheduling, automation, and distribution. With PBRS, you can: - Schedule Power BI reports to run at specific dates and times, or set up recurring schedules based on custom frequencies. For example, you can schedule a report to run every hour, every other day, or on the third Monday of the month. - Automate Power BI reports to run based on specific events or conditions. For example, you can trigger a report to run when a database record is changed, when data is received on a port, when an unread email exists in a folder, or if a file exists. - Distribute Power BI reports in various formats and to multiple destinations. You can specify different filters, formats (such as Excel, PDF, or CSV), destinations (such as email, SharePoint, or network folders), and recipients for each scheduled report. This flexibility enables you to tailor the distribution of reports to meet the specific needs of your organization. PBRS works seamlessly with various Power BI environments, including Power BI Service (Pro and PPU), Power BI Report Server (On-Premises), Power BI Premium, and all editions of SQL Server Reporting Services

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