mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-17 13:13:36 +00:00
42 lines
1.8 KiB
HTML
42 lines
1.8 KiB
HTML
<div>
|
|
<div class="container my-5">
|
|
<div class="row mb-5">
|
|
<div class="col-lg">
|
|
<h2 id="hardware-efficient" class="my-4">Hardware efficient</h2>
|
|
<p class="lead">ClickHouse processes typical analytical queries two to three orders of magnitude faster than traditional
|
|
row-oriented systems with the same available I/O throughput and CPU capacity. The system's columnar storage format allows fitting
|
|
more hot data in RAM, which leads to a shorter typical response times.</p>
|
|
</div>
|
|
<div class="col-lg-4">
|
|
<img src="images/index/hardware-efficient.svg" alt="ClickHouse is hardware efficient" />
|
|
</div>
|
|
</div>
|
|
<div class="row">
|
|
<div class="col-lg">
|
|
<h3>Strives for CPU efficiency</h3>
|
|
<p>Vectorized query execution involves relevant SIMD processor instructions
|
|
and runtime code generation. Processing data in columns increases CPU line cache hit rate.</p>
|
|
|
|
</div>
|
|
<div class="col-lg">
|
|
<h3>Optimizes disk drive access</h3>
|
|
<p>ClickHouse minimizes the number of seeks for range queries, which increases efficiency of using rotational
|
|
disk drives, as it maintains locality of reference for continually stored data.</p>
|
|
</div>
|
|
<div class="col-lg">
|
|
<h3>Minimizes data transfers</h3>
|
|
<p>ClickHouse enables companies to manage their data and
|
|
create reports without using specialized networks that are aimed at high-performance computing.</p>
|
|
|
|
</div>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div>
|
|
<div class="container text-center">
|
|
<img src="images/curl.svg" alt="ClickHouse не тормозит" />
|
|
</div>
|
|
</div>
|