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Using Streaming Graph To Solve Complex Event Processing Challenges Without Time Windows
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    <h4 class="h3-small">Easily Combine Data Sources</h4>
    <div class="small-text">Join streaming and batch data with out-of-order data handling</div>
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    <h4 class="h3-small">Standing Queries</h4>
    <div class="small-text">Massively parallel graph computation</div>
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    <h4 class="h3-small">Multi-way Joins At Scale</h4>
    <div class="small-text">Eliminates the computation limits of other graph databases</div>
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    <h4 class="h3-small">Complete Data Version History</h4>
    <div class="small-text">Track every change, and access any version</div>
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    <h4 class="h3-small">Categorical Data Handling</h4>
    <div class="small-text">Ingestion of complex events, and pattern recognition for numeric and non-numeric data types</div>
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    <h4 class="h3-small">Swappable Data Storage</h4>
    <div class="small-text">Integrate with persistent data store of your choice. Acheive HA with WAL</div>
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    <h4 class="h3-small">Entity Resolution</h4>
    <div class="small-text">Resolve out-of-order data from multiple or heterogeneous data sources</div>
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    <h4 class="h3-small">Graph Data Model</h4>
    <div class="small-text">Understand data semantic relationships as high-level attributes</div>
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    <h4 class="h3-small">Extensible</h4>
    <div class="small-text">Integrate existing logic through User Defined Functions</div>
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    <h4 class="h3-small">Fast Reads &amp; Write</h4>
    <div class="small-text">Highly parallelized incremental operations for fast reads and writes</div>
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