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Articles about Product (8)

rust-cratedb 1.0

With the 1.0 release of a Rust driver for CrateDB, this post shares how the driver works and explains the design decisions during its creation.

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Benchmarking Complex Query Performance in CrateDB and PostgreSQL

Benchmarking Complex Query Performance in CrateDB and PostgreSQL

In this post we put together a benchmark that compares CrateDB v.1.14 versus PostgreSQL v9.6 performance in terms of query throughput and query time.

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CrateDB Scalability Benchmark: Query Throughput

CrateDB Scalability Benchmark: Query Throughput

This post describes a query throughput benchmark showing how CrateDB provides linear improvements in query throughput as the cluster grows.

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Monitoring A Scalable SQL Database

Monitoring A Scalable SQL Database

The most important part of monitoring a CrateDB cluster is the understanding of which metrics you care about and why.

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How we orchestrated a SQL database with Docker Swarm Mode

How to orchestrate the deployment and scaling of a shared-nothing SQL database (CrateDB) on Docker 1.12 using Docker Swarm mode.

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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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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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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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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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