CrateDB v4.5 is now stable and ready to use
2021-03-31
Apart from including the Enterprise features and new statements as the CREATE TABLE AS, with CrateDB v4.5 we've done work behind the scenes—with improvements in the documentation, error messages, and stability.
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Community Development General Product
CrateDB Doubling Down on Permissive Licensing and the Elasticsearch Lockdown
2021-01-27
Crate.io will no longer use Elastic’s Elasticsearch as an upstream project for CrateDB and open source its entire codebase under the APLv2 with CrateDB 4.5
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Amazon Timestream is finally released: these are our first impressions
2020-10-22
After two years in preview, Amazon Timestream is now out in the world. After checking it out, we share some of our thoughts (and some data as well).
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Comparing databases for an Industrial IoT use-case: MongoDB, TimescaleDB, InfluxDB and CrateDB
2020-07-13
We compared how MongoDB, TimescaleDB, InfluxDB, and CrateDB perform for an industrial IoT use-case. We talk about our experience in this blog post.
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How to set up a CrateDB cluster with Kubernetes
2020-06-10
Setting up a CrateDB cluster with Kubernetes can be done in just a few steps, and scaling up and down is straightforward. We tell you how in this tutorial.
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CrateDB, Machine Learning, and Hydroelectric Power: Part Two
2019-08-16
We go into some technical details of the VKW proof-of-concept and show you how to use Python to construct a machine learning model that can be used to predict events.
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Machine Learning and CrateDB, Part Three: Experiment Design & Linear Regression
2019-02-13
In the third part of this miniseries, I show you how to predict the number of Twitter followers a user has using regression analysis.
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Machine Learning and CrateDB, Part Two: Getting Started With Jupyter
2018-12-04
In part two of this miniseries, learn how to get started with machine learning using Python and Jupyter Notebook.
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Machine Learning and CrateDB, Part One
2018-10-19
Part one of a miniseries that introduces you to the fundamentals of machine learning and shows you how to get started with some hands-on coding.
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On Writing Beautiful Tests
2018-08-30
Testing and thinking about modes of failure as you design code will help you to write more robust software, which is, in turn, easier to maintain. It also makes your code easier to refactor and easier to modify.
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