M₃O Feed Server is the architectural component dedicated to managing feeds.

M₃O Feed Server provides seamless connectivity to traditional and non-traditional information sources, including JMS, RSS, web services, and databases, enabling what-if analysis, event archive, and recovering of feed histories. M₃O Feed Server can quickly tap into any data from anywhere: internal applications and systems, partner, social media – handling structured, semi-structured and unstructured data

M₃O Feed Server also allows you to manage and balance large volumes of real-time events across multiple M₃O Analytics Engines as necessary. M₃O Feed Server provides durability, scalability, and availability of feeds, facilitating real-time analysis, elevating feeds to the status of first class citizens!

Event Archive

• Easily perform forensic analysis of feeds with point-in-time playback of events
• Analyze what-if scenarios to reduce time-to-insight
• Understand what has transpired and seamlessly recalibrate their service level agreements
• Toggle between live and historic feeds
• Immediate access of feed history for new or current subscribers

Summary Windows (maintain a summary of events on a feed)

• Access and play back a feed state immediately, even if the connection was broken

Snapshots (on-the-fly data mart creation)

• Compare against historical and real-time trends
• Interoperate with traditional business intelligence (BI) systems; Compliment and enhance existing BI systems with real-time feeds consumable by BI tools
• Generate historical summaries to a data mart in order to understand deviations and trends; compare and contrast real-time data with historical trends to understand deviation
• Produce real-time snapshots of BI data marts to preserve data integrity and reduce the time to present and analyze against historical data
• Reduce time-to-visibility and time-to-insight–when minutes and seconds matter!

Scalable Feed Distributor

• Massively scalable deployments
• Handle varying and unpredictable load volumes, increasing and decreasing numbers of servers as required
• Stream large numbers of real-time events among multiple event producers and consumers

Guaranteed Message Delivery

• Durable delivery of events ensuring that subscribers receive events in proper order

Supported Operating Systems

• Microsoft Windows
• Red Hat Linux
• Sun Solaris
• HP-UX