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Real-Time User-Facing Analytics: Empower Users with Insights via InfinyOn

Deliver instant, actionable analytics to your users
with powerful stream processing powered by InfinyOn Cloud.

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Interactive user-facing analytics dashboard utilizing event-driven architecture and distributed streaming

Deploy real-time user-facing analytics with stream processing

  • Process real-time data with distributed streaming

    Process
    Real-Time Data

    Transform raw data into insights instantly using event-driven processing.

  • Visualize trends dynamically with stream processing

    Visualize
    Trends Dynamically

    Present up-to-the-second data visualizations through real-time analysis.

  • Enable data-driven decisions using event-driven architecture

    Enable
    Data-Driven Decisions

    Empower users with actionable insights from intelligent stream processing.

Enhance User Experience with Live Analytics

  • Boost user engagement with real-time analytics using distributed streaming

    Boost Engagement

  • Increase user satisfaction through event-driven analytics

    Grow Satisfaction

  • Drive user action with data-driven recommendations using stream processing

    Drive Action

Intelligent real-time user-facing analytics powered by event-driven architecture

Event-Driven Data Ingestion

Fluvio ingests user and system data in real-time from multiple sources using robust event-driven architecture.

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Distributed Stream Processing for Analytics

Apply complex analytics algorithms across distributed streams for scalable, real-time data processing.

Learn about SDF Workers

Continuous Data Aggregation and Analysis

Leverage stream processing to continuously aggregate and analyze data for real-time insights.

Learn about SDF

Real-Time Visualization Streaming

Stream processed data to user interfaces for live, interactive visualizations using event-driven architecture.

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Build Real-Time User-Facing Analytics on InfinyOn Cloud

Book a demo today and see how InfinyOn’s event-driven architecture can empower your users with real-time analytics.
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