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CLICKHOUSE V21.11 RELEASED

ClickHouse® is an open-source, high performance columnar OLAP database
management system for real-time analytics using SQL.

Add to Your Calendar
18 Nov - Europe, Americas
Add to Your Calendar
22 Nov - Asia, Europe

Read the Blog Post

CLICKHOUSE ANNOUNCES $250 MILLION IN FUNDING

Raising the Company’s Valuation to $2B

Read the Blog Post Read the News Read the Press Release


WHY CLICKHOUSE

Our feature rich and hardware efficient OLAP data management system is the right
choice for your organization.


PERFORMANCE

ClickHouse supports best in the industry query performance, while significantly
reducing storage requirements through our innovative use of columnar storage and
compression.

--------------------------------------------------------------------------------


SCALABILITY

Battle tested in production, with linear horizontal scalability from
single-server deployments to clusters with many thousands of nodes.

--------------------------------------------------------------------------------


RELIABILITY

ClickHouse deployments feature best in class availability. There are no single
points of failure, with the architecture supporting multi-master replication,
performing effectively in multi-region configurations.

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SECURITY

ClickHouse comes with enterprise grade security features and fail-safe
mechanisms protecting against data corruption from application bugs and human
errors.

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CLICKHOUSE USERS

ClickHouse was born and in production inside Yandex over a decade ago and now
stores 10’s of trillions of rows of data serving a query throughput of 2TB per
second for Yandex Metrica. It has also become the de facto standard inside
Yandex for advertising systems, monitoring and observability data, business
intelligence, recommendations platforms, OLAP, and even cars telemetry.

Read the Case Study
 * Stores 10’s of trillions of rows of data
 * Query throughput of 2TB per second
 * Became de facto standard inside Yandex

Uber moved it’s logging platform to ClickHouse increasing developer productivity
and overall reliability of the platform while seeing 3x data compression, 10x
performance increase, and ½ the reduction in hardware cost.

Read the Case Study
 * 3x data compression
 * 10x performance increase
 * ½ the reduction in hardware cost

eBay adopted ClickHouse for their real time OLAP events (Logs + Metrics)
infrastructure. The simplified architecture with ClickHouse allowed them to
reduce their DevOps activity and troubleshooting, reduced the overall
infrastructure by 90%, and they saw a stronger integration with Grafana and
ClickHouse for visualization and alerting.

Read the Case Study
 * Reduced DevOps activity and troubleshooting
 * 10 times less hardware
 * Stronger integration with Grafana

Cloudflare was having challenges scaling their CitusDB-based system which had a
high TCO and maintenance costs due to the complex architecture. By moving their
HTTP analytics data to ClickHouse they were able to scale to 8M requests per
second, deleted 10’s of thousands of lines of code, reduced their MTTR, and saw
a 7x improvement on customer queries per second they could serve.

Read the Case Study
 * Scaled to 8M requests per second
 * Reduced their MTTR
 * 7x improvement on query throughput

Spotify's A/B Experimentation platform is serving thousands of sub-second
queries per second on petabyte-scale datasets with Clickhouse. They reduced the
amount of low-variance work by an order of magnitude and enabled feature teams
to self-serve insights by introducing a unified SQL interface for Data Platform
and tools for automatic decision making for Experimentation.

Read the Case Study
 * Reduced the amount of low-variance work
 * Enabled feature teams to self-serve insights
 * Tools for automatic decision making

ClickHouse helps serve the Client Analytics platform for reporting, deep data
analysis as well as advanced data science to provide Deutsche Bank’s front
office a clear view on their client's activity and profitability.

Read the Case Study
 * Platform for reporting and deep data analysis
 * Advanced data science
 * Provide clear view of client's activity and profitability


CLICKHOUSE WORKS 100-1000X FASTER THAN TRADITIONAL APPROACHES

ClickHouse's performance exceeds comparable column-oriented database management
systems that are available on the market. It processes hundreds of millions to
over a billion rows and tens of gigabytes of data per server per second.

Detailed comparison


INDEPENDENT BENCHMARKS

 * GitLab
   ClickHouse vs TimescaleDB
 * Mark Litwintschik
   1.1 Billion Taxi Rides: 108-core ClickHouse Cluster
 * Brandon Harris
   ClickHouse, Redshift and 2.5 Billion Rows of Time Series Data
 * Percona
   ClickHouse vs MariaDB ColumnStore


QUICK START

 * Ubuntu or Debian
 * CentOS or RedHat
 * Other Linux (x86)
 * Linux (ARM)
 * macOS (Intel)
 * Mac (Apple Silicon)
 * FreeBSD (x86_64)

sudo apt-get install apt-transport-https ca-certificates dirmngr
sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv E0C56BD4

echo "deb https://repo.clickhouse.com/deb/stable/ main/" | sudo tee \
    /etc/apt/sources.list.d/clickhouse.list
sudo apt-get update

sudo apt-get install -y clickhouse-server clickhouse-client

sudo service clickhouse-server start
clickhouse-client

sudo yum install yum-utils
sudo rpm --import https://repo.clickhouse.com/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.com/rpm/clickhouse.repo
sudo yum install clickhouse-server clickhouse-client

sudo /etc/init.d/clickhouse-server start
clickhouse-client

export LATEST_VERSION=$(curl -s https://repo.clickhouse.com/tgz/stable/ | \
    grep -Eo '[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+' | sort -V -r | head -n 1)
curl -O https://repo.clickhouse.com/tgz/stable/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/stable/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/stable/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/stable/clickhouse-client-$LATEST_VERSION.tgz

tar -xzvf clickhouse-common-static-$LATEST_VERSION.tgz
sudo clickhouse-common-static-$LATEST_VERSION/install/doinst.sh

tar -xzvf clickhouse-common-static-dbg-$LATEST_VERSION.tgz
sudo clickhouse-common-static-dbg-$LATEST_VERSION/install/doinst.sh

tar -xzvf clickhouse-server-$LATEST_VERSION.tgz
sudo clickhouse-server-$LATEST_VERSION/install/doinst.sh
sudo /etc/init.d/clickhouse-server start

tar -xzvf clickhouse-client-$LATEST_VERSION.tgz
sudo clickhouse-client-$LATEST_VERSION/install/doinst.sh

# ARM (AArch64) build works on Amazon Graviton, Oracle Cloud, Huawei Cloud ARM machines.
# The support for AArch64 is pre-production ready.

wget 'https://builds.clickhouse.com/master/aarch64/clickhouse'
chmod a+x ./clickhouse
sudo ./clickhouse install

wget 'https://builds.clickhouse.com/master/macos/clickhouse'
chmod a+x ./clickhouse
./clickhouse

wget 'https://builds.clickhouse.com/master/macos-aarch64/clickhouse'
chmod a+x ./clickhouse
./clickhouse

wget 'https://builds.clickhouse.com/master/freebsd/clickhouse'
chmod a+x ./clickhouse
sudo ./clickhouse install

There's a number of alternative options to get started, most notably the
official Docker images of ClickHouse. To learn more about our future cloud
offerings, contact us.

After you got connected to your ClickHouse server, you can proceed to:

Tutorial Documentation



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ClickHouse source code is published under the Apache 2.0 License. Software is
distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
either express or implied.