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Kubernetes and Crate

Kubernetes and Crate

During our hackathon last weekend we came up with a template that would easily let users spin up a Crate cluster with Kubernetes.

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Happy Birthday Kubernetes!

Happy Birthday Kubernetes!

During the Endocode's Kubernetes birthday party on 21 July, we came up with the idea to kickstart our Kubernetes support with a Hackathon!

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Release: Crate 0.41.0 (Testing)

CrateDB Version 0.41.0 comes with a brand new set of arithmetic functions for you to crunch and squeeze all the numbers from your tables.

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Upgrade Your Cluster to 0.55.x

Crate Version 0.55 introduces a lot of great features, fixes and changes. Some of these required making changes to our code base that require extra steps to upgrade your clusters than with previous Crate versions.

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Orchestrating a SQL Database Cluster with Docker 1.12

Orchestrating a SQL Database Cluster with Docker 1.12

At DockerCon 2016, Docker announced Docker 1.12 with new, integrated support for cluster orchestration and security. The orchestration capabilities make it even easier to launch, scale, and administer clustered software like the Crate SQL database.

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Crate 0.55, Our Biggest Release Yet?

Crate is regularly updated, so we don't normally write a blog post for each release, but our forthcoming 0.55 release is so chock-full of features that we felt it deserved something special.

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Deep Analysis of Big Data with Crate and Zoomdata

Deep Analysis of Big Data with Crate and Zoomdata

Using Zoomdata with CrateDB is a powerful and easy way to put data to work for your business.

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Bulk Inserts with unnest

Bulk Inserts with unnest

CrateDB 0.55 introduces support for unnesting. Unnest uses arrays to generate a transient table with each array representing a column.

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Insert Performance Boost on Replicated Tables

Insert Performance Boost on Replicated Tables

How we were able to greatly increase CrateDB's performance for replicated tables.

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How to Import from Custom Data Sources with a Plugin

How to Import from Custom Data Sources with a Plugin

Ingesting and handling large amounts of data with CrateDB is easy. Here's a best practice guide explaining some of the crucial aspects.

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