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Update Key Features
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JingsongLi committed Mar 4, 2024
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Expand Up @@ -79,7 +79,7 @@ <h1 class="fw-bold lh-1 pb-5 hero-title" style="color: #ffffff;">Apache Paimon&t
<div class="col-12 text-center"><h2>Key Features</h2></div>
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Expand All @@ -88,49 +88,49 @@ <h5>Real-time Updates</h5>
<div class="py-3">Primary-key table supports real-time streaming updates of large amounts of data. Real-time query within 1 minute.</div>
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<h2><i class="bi bi-calculator"></i></h2>
<h5>Flexible Updates</h5>
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<div class="py-3">Support defining Merge Engines, update records however you like. Deduplicate to keep last row, or partial-update, or aggregate records, or first-row, you decide.</div>
<div class="py-3">Defining Merge Engines, update records however you like. Deduplicate to keep last row, or partial-update, or aggregate records, or first-row, you decide.</div>
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<h2><i class="bi bi-clipboard2-pulse"></i></h2>
<h5>Change-tracking Updates</h5>
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<div class="py-3">Support defining changelog-producer, produce correct and complete changelog in updates for merge engines, simplifying your streaming analytics.</div>
<div class="py-3">Defining changelog-producer, produce correct and complete changelog in updates for merge engines, simplifying your streaming analytics.</div>
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<h2><i class="bi bi-clipboard2-pulse"></i></h2>
<h5>Data Lake Capabilities</h5>
<h2><i class="bi bi-table"></i></h2>
<h5>Append Data Processing</h5>
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<div class="py-3">Low cost, High reliability, Scalable metadata, Time Travel and Full Schema Evolution. All advantage as a data lake storage.</div>
<div class="py-3">Append table (no primary-key) provides large scale batch and streaming processing capability. Supports compaction with z-order sorting.</div>
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<div class="card shadow col-md-10 col-lg-5 m-3">
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<h2><i class="bi bi-table"></i></h2>
<h5>Huge Append Data Processing</h5>
<h2><i class="bi bi-calendar-event"></i></h2>
<h5>Query Data Skipping</h5>
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<div class="py-3">Append table (no primary-key) provides large scale batch & streaming processing capability. Supports Data Compaction with z-order sorting to optimize file layout.</div>
<div class="py-3">Based on indexes such as minmax, filter irrelevant files and provide high-performance queries, more indexes are being supported.</div>
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<div class="card shadow col-md-10 col-lg-5 col-xl-3 m-3">
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<h2><i class="bi bi-calendar-event"></i></h2>
<h5>Data Skipping</h5>
<h2><i class="bi bi-clipboard2-pulse"></i></h2>
<h5>Data Lake Capabilities</h5>
</div>
<div class="py-3">Based on indexes such as minmax, filter irrelevant files and provide high-performance queries.</div>
<div class="py-3">Low cost, High reliability, Scalable metadata, Time Travel and Full Schema Evolution. All advantage as a data lake storage.</div>
</div>
</div>
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