New Release for Grafana ClickHouse Plugin

Grafana is a very powerful and popular open source dashboard tool used in many ClickHouse projects. ClickHouse in Grafana is enabled by the Grafana ClickHouse plugin developed by the company Vertamedia, a ClickHouse early adopter.  Many users in the community now depend on the Vertamedia implementation.

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Using ODBC with Clickhouse

20 Sept 2018
This article shows different ways of how you can use ClickHouse in connection with other data sources to make queries use all of ClickHouse optimization features in order to make results come faster. Also, it is good practice when you have some infrastructure elements already linked to some other data sources or tools that supports ODBC.

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Clickhouse-copier in practice


Clickhouse-copier is a tool designed to copy data from one ClickHouse environment to another. The tool is a part of standard ClickHouse server distribution. It can work in a fully parallel mode and distribute the data in the most efficient way. In this article, we review a few typical examples when clickhouse-copier can be used.

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Tableau with ClickHouse

July 19, 2018
ClickHouse users often require data to be accessed in a user-friendly way. There is a number of tools that can display big data using visualization effects, charts, filters, etc. Tableau is one of the popular ones. In this article, we will explain how Tableau can be used with ClickHouse data source.

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Circular Replication Cluster Topology in ClickHouse


In some cases, there is a need to configure a distributed cluster with replication but there are not enough servers in order to place every replica on a separate node. It is better to have multiple replicas at the same nodes configured in a special way, that allows to continue executing queries even in the case of a node failure. Such replication configuration can be found in different distributed systems, it is often referred to as ‘circular’ or ‘ring’ replication. In this article, we will discuss how to set up circular replication in ClickHouse.

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ClickTail Introduction

Altinity is happy to introduce ClickTail -- an easy to use tool for ingesting log file data into ClickHouse and making it available for exploration. Its favorite format is JSON, but it understands how to parse a range of other well-known log formats.

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Aggregate MySQL data at high speed with ClickHouse

Feb 12, 2018
There are multiple ways how ClickHouse and MySQL can work together. External Dictionaries, ProxySQL support or [realtime streaming] of MySQL binary logs into ClickHouse. A few weeks ago ClickHouse team has released mysql() table function that allows to access MySQL data directly from ClickHouse. This opens up a number of interesting capabilities. Accidentally we have found [a blog article in Japanese] by Mikage Sawatari? , that tests a new way of integration and translated it for our blog with some minor edits.

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Logstash with ClickHouse

Dec 18, 2017  
There are many cases where ClickHouse is a good or even the best solution for storing analytics data. One common example is web servers logs processing. In this article, we guide you through Nginx web server example but it is applicable to other web servers as well.

We will use Logstash with ClickHouse in order to process web logs. Logstash is a commonly used tool for parsing different kinds of logs and putting them somewhere else. For example, in ClickHouse. This solution is a part of Altinity Demo Appliance

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ClickHouse vs Amazon RedShift Benchmark #2: STAR2002 dataset

Jul 3, 2017   
We continue to benchmark ClickHouse against other analytic DBMSs. We were inspired by the benchmark with star2002 experiment dataset described here, and decided to replicate it using ClickHouse. That gives another interesting comparison vs Amazon RedShift.

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ClickHouse vs Amazon RedShift Benchmark

Jun 19, 2017   
We continue benchmarking ClickHouse. In this article we discuss a benchmark against Amazon RedShift.

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ClickHouse Dictionaries Benchmarking

Apr 26, 2017   
There are few ClickHouse benchmarks in the web already. Most of them use denormalized database schema. However, in denormalization is not always possible or desirable. In this article we will compare the query performance between denormalized and normalized schema where normalization is modelled using unique ClickHouse external dictionaries feature.

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