Altinity Blog

Amplifying ClickHouse Capacity with Multi-Volume Storage (Part 2)


This article is a continuation of the series describing multi-volume storage, which greatly increases ClickHouse server capacity using tiered storage. In the previous article we introduced why tiered storage is important, described multi-volume organization in ClickHouse, and worked through a concrete example of setting up disk definitions. 

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Altinity Stable Releases repository and new 19.13.7.57 Altinity Stable ClickHouse

Altinity is glad to announce the certification of 19.13.7.57 ClickHouse release as Altinity Stable. This is a minor upgrade over the previous 19.11.8 release, but we recommend users install it before moving to more recent releases due to a few important fixes and changes. 

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Amplifying ClickHouse Capacity with Multi-Volume Storage (Part 1)


As longtime users know well, ClickHouse has traditionally had a basic storage model.  Each ClickHouse server is a single process that accesses data located on a single storage device. The design offers operational simplicity--a great virtue--but restricts users to a single class of storage for all data. The downside is difficult cost/performance choices, especially for large clusters. 

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Altinity and ClickHouse at KubeCon 2019


The Altinity team just returned from sponsoring at KubeCon North America in San Diego November 19-21. I would like to thank all the people who visited our booth, especially current customers and ClickHouse users. It’s starting to be a real crowd!

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Altinity Announces Production-Ready Kubernetes Operator for ClickHouse Data Warehouses


Altinity is pleased to announce a production-ready version 0.7.0 of the innovative ClickHouse Kubernetes Operator. The new operator release enables users to confidently use Kubernetes to run ClickHouse, a popular real-time data. warehouse used by a worldwide open source community.

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Using Live View Tables with a Real Dataset


My previous blog article introduced Live View tables, a new feature in ClickHouse that enables users to subscribe to query results and get new results as the underlying input changes.
In this article, we will continue to explore using Live View tables but now using a real dataset.

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Making Data Come to Life with ClickHouse Live View Tables


Have you ever wanted to get a notification from your database when the query result has changed due to new data? Have you ever wanted to build a real-time dashboard where your graphs would change in real-time based on fresh aggregates from your ClickHouse cluster? Well, starting in the 19.14.3.3 ClickHouse release, an experimental feature was added to ClickHouse that you most likely did not notice.

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