2020-03-13 19:35:03 +00:00
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<div class="bg-light py-5 my-5">
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<div class="container">
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<div class="row mb-5">
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<div class="col-lg">
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2020-04-01 21:02:52 +00:00
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<h2 class="display-5">When to use ClickHouse</h2>
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2020-03-18 13:02:32 +00:00
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<p>For analytics over a stream of clean, well structured and immutable events or logs.
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2020-03-13 19:35:03 +00:00
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It is recommended to put each such stream into a single wide fact table with pre-joined dimensions.</p>
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</div>
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<div class="col-lg">
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<ul class="lead list-unstyled mb-0 mb-lg-1">
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<li>✓ Web and App analytics</li>
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<li>✓ Advertising networks and RTB</li>
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<li>✓ Telecommunications</li>
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<li>✓ E-commerce and finance</li>
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<li>✓ Information security</li>
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</ul>
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</div>
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<div class="col-lg">
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<ul class="lead list-unstyled">
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<li>✓ Monitoring and telemetry</li>
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<li>✓ Time series</li>
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<li>✓ Business intelligence</li>
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<li>✓ Online games</li>
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<li>✓ Internet of Things</li>
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</ul>
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</div>
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</div>
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<div class="row text-red">
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<div class="col-lg">
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2020-04-01 21:02:52 +00:00
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<h2 class="display-5">When NOT to use ClickHouse</h2>
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2020-03-13 19:35:03 +00:00
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</div>
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<div class="col-lg">
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<ul class="lead list-unstyled mb-0 mb-lg-1">
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<li>✕ Transactional workloads (OLTP)</li>
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2020-03-18 13:02:32 +00:00
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<li>✕ Key-value requests with a high rate</li>
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2020-03-13 19:35:03 +00:00
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</ul>
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</div>
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<div class="col-lg">
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<ul class="lead list-unstyled">
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<li>✕ Blob or document storage</li>
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<li>✕ Over-normalized data</li>
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</ul>
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</div>
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</div>
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</div>
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</div>
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