From 94858907a3ff26147af57c8d1615cdaa0ee5c102 Mon Sep 17 00:00:00 2001 From: Ivan Blinkov Date: Thu, 8 Jun 2017 17:08:08 +0300 Subject: [PATCH] Yet another home page structure change, couple new blocks (CLICKHOUSE-3045) --- website/index.html | 176 +++++++++++++++++++++++++-------------------- 1 file changed, 98 insertions(+), 78 deletions(-) diff --git a/website/index.html b/website/index.html index f4315c10d01..08bafad1024 100644 --- a/website/index.html +++ b/website/index.html @@ -281,10 +281,13 @@ #footer { text-align: right; padding: 8px 0 0 0; - color: #888; font-size: 10pt; } + #footer, .grey, .warranty { + color: #888; + } + code { font: 13px/18px monospace, "Courier New"; display: block; @@ -316,7 +319,6 @@ .warranty { margin-top: 6em; font-size: 50%; - color: #888; line-height: 150%; border-top: 1px solid #888; padding: 1em 0; @@ -388,10 +390,6 @@ margin: 0 auto; } - .smaller-font { - font-size: 100%; - } - #navbar { position: relative; text-align: center; @@ -500,14 +498,14 @@ Fault Tolerant
  • - Feature Rich -
    • -
  • - Simple and Handy + Feature Rich
  • Highly Reliable
    • +
  • + Simple and Handy +
    • @@ -608,6 +606,21 @@
    + +

    Independent Benchmarks

    + + +

    Linearly Scalable

    ClickHouse allows companies to add servers to their clusters when necessary without investing time or money into @@ -634,17 +647,54 @@

    By minimizing data transfers for most types of queries, ClickHouse enables companies to manage their data and create reports without using a network that supports high-performance computing.

    + +

    Fault Tolerant

    + +

    ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. + Downtime of a single node or the whole datacenter won’t affect the system’s availability for reads and + writes. + Distributed reads are automatically balanced to live replicas without increasing latency. Replicated data + are + synchronized automatically or semi-automatically after the downtime.

    +
    +
    -

    Fault Tolerant

    -

    ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. - Downtime of a single node or the whole datacenter won’t affect the system’s availability for reads and - writes. - Distributed reads are automatically balanced to live replicas without increasing latency. Replicated data - are - synchronized automatically or semi-automatically after the downtime.

    +

    Key Features

    + +
    +
      +
    • True column-oriented storage
      • +
    • Vectorized query execution
      • +
    • Data compression
      • +
    • Parallel and distributed query execution
      • +
    • Real time query processing
      • +
    • Real time data ingestion
      • +
    • On-disk locality of reference
      • +
    • Cross-datacenter replication
      • +
    • High availability
      • +
    • SQL support
      • +
    +
    + +
    +
      +
    • Local and distributed joins
      • +
    • Pluggable external dimension tables
      • +
    • Arrays and nested data types
      • +
    • Approximate query processing
      • +
    • Probabilistic data structures
      • +
    • Full support of IPv6
      • +
    • Features for web analytics
      • +
    • State-of-the-art algorithms
      • +
    • Detailed documentation
      • +
    • Clean documented code
      • +
    +
    + +
    @@ -668,58 +718,33 @@

    The system’s conditional aggregate functions, calculation of totals and extremes, allow getting results with a single query without having to run a number of them.

    -
    -

    Key Features

    +

    Success Stories

    -
      -
    • True column-oriented storage
      • -
    • Vectorized query execution
      • -
    • Data compression
      • -
    • Parallel and distributed query execution
      • -
    • Real-time query processing and data ingestion
      • -
    • On-disk locality of reference
      • -
    • Cross-datacenter replication
      • -
    • High availability
      • -
    • SQL support
      • -
    • Local and distributed joins
      • -
    • Pluggable external dimension tables
      • -
    • Arrays and nested data types
      • -
    • Approximate query processing
      • -
    • Probabilistic data structures
      • -
    • Full support of IPv6
      • -
    • Features for web analytics
      • -
    • State-of-the-art algorithms
      • -
    • Detailed documentation
      • -
    • Clean documented code
      • -
    -
    -
    -

    Applications

    + -
      -
    • Web and App analytics
      • -
    • Advertising networks and RTB
      • -
    • Telecommunications
      • -
    • E-commerce
      • -
    • Information security
      • -
    • Monitoring and telemetry
      • -
    • Business intelligence
      • -
    • Online games
      • -
    • Internet of Things
      • -
    -
    +

    Viable Applications

    -
    - -

    Simple and Handy

    -

    ClickHouse streamlines all your data processing. It’s easy to use: ingest all your structured data into the - system, and it is instantly available for reports. New columns for new properties or dimensions can be - easily added to the system at any time without slowing it down.

    - - -

    ClickHouse is simple and works out-of-the-box. As well as performing on hundreds of node clusters, this system - can be easily installed on a single server or even a virtual machine. No development experience or code-writing - skills are required to install ClickHouse.

    +

    Highly Reliable

    @@ -741,19 +766,14 @@ It is possible to simultaneously serve both a number of high priority low-latency requests and some long-running queries with lowered priority.

    -

    Use Cases

    +

    Simple and Handy

    +

    ClickHouse streamlines all your data processing. It’s easy to use: ingest all your structured data into the + system, and it is instantly available for reports. New columns for new properties or dimensions can be + easily added to the system at any time without slowing it down.

    -

    ClickHouse currently powers - Yandex.Metrica, world's second - largest web analytics - platform, with over 13 trillion database records and over 20 billion events a day, generating customized - reports on the fly directly from non-aggregated data.

    -

    Another example is CERN’s LHCb experiment - to store and process metadata on 10bn events with over 1000 attributes per event registered - in 2011.

    +

    ClickHouse is simple and works out-of-the-box. As well as performing on hundreds of node clusters, this system + can be easily installed on a single server or even a virtual machine. No development experience or code-writing + skills are required to install ClickHouse.

    Quick Start