I will be presenting at the ClickHouse MySQL Silicon Valley Meetup on Wednesday, October 25, 2017, at 6:30 PM.

ClickHouse is a real-time analytical database system. Even though they’re only celebrating one year as open source software, it has already proved itself ready for the serious workloads. We will talk about ClickHouse in general, some internals and why it is so fast. ClickHouse works in conjunction with MySQL – traditionally weak for analytical workloads – and this presentation demonstrates how to make the two systems work together.

My talk will cover how we can improve the experience with real-time analytics using ClickHouse, and how we can …

In this blog, I’ll use ClickHouse and Tabix to look at a new very large dataset for research.

It is hard to come across interesting datasets, especially a big one (and by big I mean one billion rows or more). Before, I’ve used on-time airline performance available from BUREAU OF TRANSPORTATION STATISTICS. Another recent example is NYC Taxi and Uber Trips data, with over one billion records.

However, today I wanted to mention an interesting dataset I found recently that has been available since 2015. This is Reddit’s comments and submissions dataset, made possible thanks to Reddit’s generous API. The …

In this blog, I’ll look at how to use ClickHouse for parallel log processing.

Percona is seen primarily for our expertise in MySQL and MongoDB (at this time), but neither is quite suitable to perform heavy analytical workloads. There is a need to analyze data sets, and a very popular task is crunching log files. Below I’ll show how ClickHouse can be used to efficiently perform this task. ClickHouse is attractive because it has multi-core parallel query processing, and it can even execute a single query using multiple CPUs in the background.

I am going to check how ClickHouse utilizes multiple CPU cores and threads. I will use a server with two sockets, equipped with “Intel(R) Xeon(R) CPU E5-2683 v3 @ 2.00GHz” in each. That gives a total of 28 CPU cores / 56 CPU threads.

To analyze workload, I’ll use an Apache log file from one of Percona’s servers. …

Join Percona’s CTO Vadim Tkachenko @VadimTk and Altinity’s Co-Founder, Alexander Zaitsev as they present Supercharge Your Analytics with ClickHouse on Thursday, September 14, 2017, at 10:00 am PDT / 1:00 pm EDT (UTC-7).

Reserve Your Spot

ClickHouse is a real-time analytical database system. Even though they’re only celebrating one year as open source software, it has already proved itself ready for serious …

In this blog, we’ll look at ClickHouse on its one year anniversary.

It’s been a year already since the Yandex team released ClickHouse as open source software. I’ve had an interest in this project from the very start, as I didn’t think there was an open source analytical database that could compete with industry leaders like Vertica (for example).

This was an exciting year for ClickHouse early adopters. Let’s look at what it accomplished so far.

ClickHouse initially generated interest due to the Yandex name – the most popular search engine in Russia. It wasn’t long before jaw-dropping responses popped up: guys, this thing is crazy fast! Many early adopters who tried ClickHouse were really impressed.

Fast doesn’t mean convenient …

Welcome to the first day of the Percona Live Open Source Database Conference 2017, and the first set of Percona Live keynotes!

It’s a beautiful day in Santa Clara, but we don’t know because we’re inside the Hyatt Regency Convention Center listening to various rock stars in the open source database community talk about open source technologies. Day one of the conference kicked off with four keynote talks, all of which discussed issues and technologies that are addressed by open source solutions:

Percona Welcoming Keynote

Peter Zaitsev (Percona)

Peter Zaitsev, CEO of Percona, welcomed everyone to Percona Live Open Source …