mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-09-23 10:10:50 +00:00
Yet another home page structure change, couple new blocks (CLICKHOUSE-3045)
This commit is contained in:
Ivan Blinkov
parent
93e5631187
commit
94858907a3
@ -281,10 +281,13 @@
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#footer {
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text-align: right;
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padding: 8px 0 0 0;
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color: #888;
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font-size: 10pt;
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}
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#footer, .grey, .warranty {
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color: #888;
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}
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code {
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font: 13px/18px monospace, "Courier New";
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display: block;
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@ -316,7 +319,6 @@
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.warranty {
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margin-top: 6em;
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font-size: 50%;
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color: #888;
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line-height: 150%;
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border-top: 1px solid #888;
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padding: 1em 0;
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@ -388,10 +390,6 @@
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margin: 0 auto;
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}
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.smaller-font {
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font-size: 100%;
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}
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#navbar {
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position: relative;
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text-align: center;
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@ -500,14 +498,14 @@
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<a class="index_item" href="#fault-tolerant">Fault Tolerant</a>
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</li>
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<li>
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<a class="index_item" href="#feature-rich">Feature Rich</a>
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</li>
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<li>
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<a class="index_item" href="#simple-and-handy">Simple and Handy</a>
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<a class="index_item" href="#key-features">Feature Rich</a>
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</li>
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<li>
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<a class="index_item" href="#highly-reliable">Highly Reliable</a>
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</li>
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<li>
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<a class="index_item" href="#simple-and-handy">Simple and Handy</a>
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</li>
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</ul>
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</div>
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<div class="clear"></div>
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@ -608,6 +606,21 @@
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</div>
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<div class="page">
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<h2>Independent Benchmarks</h2>
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<ul class="dashed">
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<li><a href="https://www.percona.com/blog/2017/02/13/clickhouse-new-opensource-columnar-database/"
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rel="external nofollow">ClickHouse: New Open Source Columnar Database</a> by Percona</li>
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<li><a href="https://www.percona.com/blog/2017/03/17/column-store-database-benchmarks-mariadb-columnstore-vs-clickhouse-vs-apache-spark/"
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title="MariaDB ColumnStore vs. Clickhouse vs. Apache Spark"
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rel="external nofollow">Column Store Database Benchmarks</a> by Percona</li>
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<li><a href="http://tech.marksblogg.com/billion-nyc-taxi-clickhouse.html"
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rel="external nofollow">1.1 Billion Taxi Rides on ClickHouse & an Intel Core i5</a> by Mark Litwintschik</li>
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<li><a href="https://carto.com/blog/inside/geospatial-processing-with-clickhouse"
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rel="external nofollow">Geospatial processing with Clickhouse</a> by Carto</li>
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</ul>
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<h2 id="linearly-scalable">Linearly Scalable</h2>
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<p>ClickHouse allows companies to add servers to their clusters when necessary without investing time or money into
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@ -634,17 +647,54 @@
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<p>By minimizing data transfers for most types of queries, ClickHouse enables companies to manage their data and
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create reports without using a network that supports high-performance computing.</p>
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<h2 id="fault-tolerant">Fault Tolerant</h2>
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<p>ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters.
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Downtime of a single node or the whole datacenter won’t affect the system’s availability for reads and
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writes.
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Distributed reads are automatically balanced to live replicas without increasing latency. Replicated data
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are
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synchronized automatically or semi-automatically after the downtime.</p>
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</div>
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</div>
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<div id="grey-block" class="colored-block">
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<div class="page">
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<h2 id="fault-tolerant">Fault Tolerant</h2>
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<p>ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters.
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Downtime of a single node or the whole datacenter won’t affect the system’s availability for reads and
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writes.
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Distributed reads are automatically balanced to live replicas without increasing latency. Replicated data
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are
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synchronized automatically or semi-automatically after the downtime.</p>
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<h2 id="key-features">Key Features</h2>
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<div class="block-50">
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<ul class="dashed">
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<li>True column-oriented storage</li>
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<li>Vectorized query execution</li>
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<li>Data compression</li>
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<li>Parallel and distributed query execution</li>
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<li>Real time query processing</li>
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<li>Real time data ingestion</li>
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<li>On-disk locality of reference</li>
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<li>Cross-datacenter replication</li>
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<li>High availability</li>
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<li>SQL support</li>
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</ul>
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</div>
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<div class="block-50">
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<ul class="dashed">
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<li>Local and distributed joins</li>
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<li>Pluggable external dimension tables</li>
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<li>Arrays and nested data types</li>
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<li>Approximate query processing</li>
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<li>Probabilistic data structures</li>
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<li>Full support of IPv6</li>
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<li>Features for web analytics</li>
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<li>State-of-the-art algorithms</li>
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<li>Detailed documentation</li>
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<li>Clean documented code</li>
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</ul>
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</div>
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<div class="clear"></div>
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</div>
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</div>
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<div class="page">
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@ -668,58 +718,33 @@
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<p>The system’s conditional aggregate functions, calculation of totals and extremes, allow getting results with a
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single query without having to run a number of them.</p>
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<div class="block-50">
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<h2>Key Features</h2>
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<h2>Success Stories</h2>
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<ul class="dashed smaller-font">
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<li>True column-oriented storage</li>
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<li>Vectorized query execution</li>
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<li>Data compression</li>
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<li>Parallel and distributed query execution</li>
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<li>Real-time query processing and data ingestion</li>
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<li>On-disk locality of reference</li>
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<li>Cross-datacenter replication</li>
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<li>High availability</li>
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<li>SQL support</li>
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<li>Local and distributed joins</li>
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<li>Pluggable external dimension tables</li>
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<li>Arrays and nested data types</li>
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<li>Approximate query processing</li>
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<li>Probabilistic data structures</li>
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<li>Full support of IPv6</li>
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<li>Features for web analytics</li>
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<li>State-of-the-art algorithms</li>
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<li>Detailed documentation</li>
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<li>Clean documented code</li>
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</ul>
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</div>
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<div class="block-50">
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<h2>Applications</h2>
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<ul class="dashed">
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<li><a href="docs/en/introduction/ya_metrika_task.html">Yandex.Metrica</a></li>
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<li><a href="https://blog.cloudflare.com/how-cloudflare-analyzes-1m-dns-queries-per-second/"
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rel="external nofollow">CloudFlare DNS Analytics</a></li>
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<li><a href="https://translate.yandex.com/translate?url=https%3A%2F%2Fhabrahabr.ru%2Fpost%2F322620%2F&lang=ru-en"
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rel="external nofollow">Migrating to Yandex ClickHouse</a> by LifeStreet <span class="grey">(machine translation from russian)</span></li>
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<li><a href="https://translate.yandex.com/translate?url=https%3A%2F%2Fhabrahabr.ru%2Fcompany%2Fsmi2%2Fblog%2F314558%2F&lang=ru-en"
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rel="external nofollow">How to start ClickHouse up and win the jackpot</a> by SMI2 <span class="grey">(machine translation from russian)</span></li>
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<li><a href="https://www.yandex.com/company/press_center/press_releases/2012/2012-04-10/"
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rel="external nofollow">LHCb experiment</a> by CERN</li>
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</ul>
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<ul class="dashed smaller-font">
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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</li>
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<li>Information security</li>
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<li>Monitoring and telemetry</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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<h2>Viable Applications</h2>
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<div class="clear"></div>
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<h2 id="simple-and-handy">Simple and Handy</h2>
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<p>ClickHouse streamlines all your data processing. It’s easy to use: ingest all your structured data into the
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system, and it is instantly available for reports. New columns for new properties or dimensions can be
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easily added to the system at any time without slowing it down.</p>
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<p>ClickHouse is simple and works out-of-the-box. As well as performing on hundreds of node clusters, this system
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can be easily installed on a single server or even a virtual machine. No development experience or code-writing
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skills are required to install ClickHouse.</p>
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<ul class="dashed">
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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 financial analytics</li>
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<li>Information security</li>
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<li>Monitoring and telemetry</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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<h2 id="highly-reliable">Highly Reliable</h2>
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@ -741,19 +766,14 @@
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It is possible to simultaneously serve both a number of high priority low-latency requests and some
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long-running queries with lowered priority.</p>
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<h2>Use Cases</h2>
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<h2 id="simple-and-handy">Simple and Handy</h2>
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<p>ClickHouse streamlines all your data processing. It’s easy to use: ingest all your structured data into the
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system, and it is instantly available for reports. New columns for new properties or dimensions can be
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easily added to the system at any time without slowing it down.</p>
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<p>ClickHouse currently powers
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<a href="https://metrica.yandex.com/" rel="external nofollow">Yandex.Metrica</a>, world's <a
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href="http://w3techs.com/technologies/overview/traffic_analysis/all" rel="external nofollow">second
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largest</a> web analytics
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platform, with over 13 trillion database records and over 20 billion events a day, generating customized
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reports on the fly directly from non-aggregated data.</p>
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<p>Another example is <a
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href="https://www.yandex.com/company/press_center/press_releases/2012/2012-04-10/"
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rel="external nofollow">CERN’s LHCb experiment</a>
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to store and process metadata on 10bn events with over 1000 attributes per event registered
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in 2011.</p>
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<p>ClickHouse is simple and works out-of-the-box. As well as performing on hundreds of node clusters, this system
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can be easily installed on a single server or even a virtual machine. No development experience or code-writing
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skills are required to install ClickHouse.</p>
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<h2 id="quick-start">Quick Start</h2>
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