HiveMQ
HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling organizations to act with intelligence. With proven reliability, scalability, and interoperability, HiveMQ provides the foundation industrial companies need to operationalize AI, powering the next generation of intelligent industry. Global leaders including Audi, BMW, Eli Lilly, Liberty Global, Mercedes-Benz, and Siemens trust HiveMQ to run their most mission-critical operations.
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PBRS Power BI Reports Distribution
PBRS is a powerful and versatile tool that enhances the scheduling, automation, and distribution capabilities of Power BI reports.
It allows you to schedule Power BI reports to run at specific dates and times, or set up recurring schedules based on your business needs. You can also configure event-based triggers that run reports based on specific events or conditions, such as database changes, file updates, email notifications, or port activity.
You can also customize the distribution of reports by specifying 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 delivery of reports to meet your specific needs.
PBRS operates as a Windows service, which means it can run in the background without requiring any user interaction, ensuring your reports are always generated and delivered on time.
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Apache Kafka
Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.
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