diff --git a/website/images/flags/es.svg b/website/images/flags/es.svg index 04f609b6c1d..d859aa650b2 100644 --- a/website/images/flags/es.svg +++ b/website/images/flags/es.svg @@ -1 +1 @@ - \ No newline at end of file + \ No newline at end of file diff --git a/website/images/index/linearly-scalable.svg b/website/images/index/linearly-scalable.svg new file mode 100644 index 00000000000..40bb67a3c81 --- /dev/null +++ b/website/images/index/linearly-scalable.svg @@ -0,0 +1,297 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/website/images/index/shield.svg b/website/images/index/shield.svg new file mode 100644 index 00000000000..e48b824909f --- /dev/null +++ b/website/images/index/shield.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/website/index.html b/website/index.html index 8770c8a97a9..b249fc31285 100644 --- a/website/index.html +++ b/website/index.html @@ -11,7 +11,7 @@ {% include "templates/index/efficient.html" %} {% include "templates/index/rich.html" %} {% include "templates/index/features.html" %} -{% include "templates/index/reliable.html" %} +{% include "templates/index/scalable.html" %} {% include "templates/index/use.html" %} {% include "templates/index/quickstart.html" %} {% include "templates/index/community.html" %} diff --git a/website/templates/index/community.html b/website/templates/index/community.html index 206dce5d34a..e48edb311b6 100644 --- a/website/templates/index/community.html +++ b/website/templates/index/community.html @@ -1,7 +1,7 @@
-

{{ _('ClickHouse community') }}

+

{{ _('ClickHouse community') }}

@@ -139,9 +139,9 @@
-

{{ _('Like ClickHouse?') }} {{ _('Help to spread the word about it via') }} Facebook, - Twitter{{ _('and') }} - LinkedIn!

+

{{ _('Like ClickHouse?') }}

+

{{ _('Help to spread the word about it via') }} Facebook, + Twitter {{ _('and') }} LinkedIn!

@@ -150,18 +150,18 @@
-
-
-

{{ _('Hosting ClickHouse Meetups') }}

+

{{ _('Hosting ClickHouse Meetups') }}

+
+

{{ _('ClickHouse meetups are essential for strengthening community worldwide, but they couldn\'t be possible without the help of local organizers. Please, feel this form if you want to become one or want to meet ClickHouse core team for any other reason.') }}

- {{ _('ClickHouse Meetup') }} + {{ _('ClickHouse Meetup') }}
-
+
@@ -206,7 +206,7 @@
-
+

{{ _('If you have any more thoughts or questions, feel free to contact Yandex ClickHouse team directly at') }} diff --git a/website/templates/index/efficient.html b/website/templates/index/efficient.html index ae0a7f2c17b..240852696b4 100644 --- a/website/templates/index/efficient.html +++ b/website/templates/index/efficient.html @@ -2,7 +2,7 @@

-

Hardware efficient

+

Hardware efficient

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. Columnar storage format allows fitting more hot data in RAM, which leads to shorter typical response times.

diff --git a/website/templates/index/features.html b/website/templates/index/features.html index 30d682843b0..c659e0d9301 100644 --- a/website/templates/index/features.html +++ b/website/templates/index/features.html @@ -2,7 +2,7 @@
-

ClickHouse. Just makes you think faster!

+

ClickHouse. Just makes you think faster!

diff --git a/website/templates/index/quickstart.html b/website/templates/index/quickstart.html index 32d3b21bcc5..0afa40e6030 100644 --- a/website/templates/index/quickstart.html +++ b/website/templates/index/quickstart.html @@ -1,6 +1,6 @@
-

Quick start

+

Quick start

System requirements for pre-built packages: Linux, x86_64 with SSE 4.2.

diff --git a/website/templates/index/reliable.html b/website/templates/index/reliable.html deleted file mode 100644 index 05ba1b00027..00000000000 --- a/website/templates/index/reliable.html +++ /dev/null @@ -1,27 +0,0 @@ -
-
- -

Highly reliable

- -

ClickHouse has been managing petabytes of data serving a number of highload mass audience services of - Yandex, Russia's - leading search provider and one of the largest European IT companies. - Since 2012, ClickHouse has been providing robust database management for the company's web analytics service, comparison - e-commerce platform, public email service, online advertising platform, business intelligence tools - and infrastructure monitoring.

- -

ClickHouse can be configured as a purely distributed system located on independent nodes, - without any single points of failure.

- -

Software and hardware failures or misconfigurations do not result in loss of data. Instead of deleting "broken" - data, ClickHouse saves it or asks you what to do before a startup. All data is checksummed before every - read or write to disk or network. It is virtually impossible to delete data by accident as there are safeguards - even for human errors.

- -

ClickHouse offers flexible limits on query complexity and resource usage, which can be fine-tuned with settings. - It is possible to simultaneously serve both a number of high priority low-latency requests and some - long-running queries with a background priority.

-
-
diff --git a/website/templates/index/rich.html b/website/templates/index/rich.html index 14b2f86e75f..1f2b4957306 100644 --- a/website/templates/index/rich.html +++ b/website/templates/index/rich.html @@ -3,7 +3,7 @@
-

Feature-rich

+

Feature-rich

diff --git a/website/templates/index/scalable.html b/website/templates/index/scalable.html new file mode 100644 index 00000000000..deb63839131 --- /dev/null +++ b/website/templates/index/scalable.html @@ -0,0 +1,16 @@ +
+
+
+
+

Linerarly scalable

+

ClickHouse scales well both vertically and horizontally. ClickHouse is easily adaptable to perform either on a cluster with hundreds or thousands of nodes or on a single server or even on a tiny virtual machine. Currently, there are installations with more multiple trillion rows or hundreds of terabytes of data per single node.

+

+ There are many ClickHouse clusters consisting of multiple hundred nodes, including few clusters of Yandex Metrica, while the largest known ClickHouse cluster is well over a thousand nodes. +

+
+
+ Lineraly scalable +
+
+
+
diff --git a/website/templates/index/success.html b/website/templates/index/success.html index 2d34d808e3d..961dc859535 100644 --- a/website/templates/index/success.html +++ b/website/templates/index/success.html @@ -1,6 +1,6 @@
-

Success stories

+

Success stories

diff --git a/website/templates/index/use.html b/website/templates/index/use.html index edf4a28cf67..1f345186d71 100644 --- a/website/templates/index/use.html +++ b/website/templates/index/use.html @@ -2,7 +2,7 @@
-

When to use ClickHouse

+

When to use ClickHouse

For analytics over a stream of clean, well structured and immutable events or logs. It is recommended to put each such stream into a single wide fact table with pre-joined dimensions.

@@ -27,7 +27,7 @@
-

When NOT to use ClickHouse

+

When NOT to use ClickHouse

    diff --git a/website/templates/index/why.html b/website/templates/index/why.html index 131b6757793..53bde640c4f 100644 --- a/website/templates/index/why.html +++ b/website/templates/index/why.html @@ -2,7 +2,7 @@
    -

    Why ClickHouse might be the right choice for you?

    +

    Why ClickHouse might be the right choice?

    @@ -10,7 +10,7 @@ Blazing fast
    -

    Blazing fast

    +

    Blazing fast

    ClickHouse uses all available hardware to its full potential to process each query as fast as possible. Peak processing performance for a single query stands at more than 2 terabytes per second (after decompression, only used columns). In distributed setup reads are automatically balanced among healthy replicas to avoid increasing latency.

    @@ -18,25 +18,25 @@ Fault tolerant
    -

    Fault-tolerant

    +

    Fault-tolerant

    ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. All nodes are equal, which allows avoiding having single points of failure. Downtime of a single node or the whole datacenter won't affect the system's availability for both reads and writes.

-
- Linearly scalable -
-
-

Linearly scalable

-

ClickHouse scales well both vertically and horizontally. ClickHouse is easily adaptable to perform either on a cluster with hundreds or thousands of nodes or on a single server or even on a tiny virtual machine. Currently, there are installations with more multiple trillion rows or hundreds of terabytes of data per single node.

-
Easy to use
-

Easy to use

+

Easy to use

ClickHouse is simple and works out-of-the-box. It streamlines all your data processing: ingest all your structured data into the system and it becomes instantly available for building reports. SQL dialect allows expressing the desired result without involving any custom non-standard API that could be found in some DBMS.

+
+ Highly reliable +
+
+

Highly reliable

+

ClickHouse can be configured as a purely distributed system located on independent nodes, without any single points of failure. It also includes a lot of enterprise-grade security features and fail-safe mechanisms against human errors.

+