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Skeema v1.8.0 released

Skeema v1.8.0 is now available! This new release adds support for non-Linux database servers, SSH tunnels in the Premium CLI, and MariaDB 10.8 support.

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Exploring AWS Aurora v3 for MySQL 8

AWS unveiled Aurora v3 a couple months ago, finally including support for MySQL 8 in their premium database-as-a-service offering. In this post, we’ll review some of its functionality, with a focus on DDL functionality and schema design.

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Skeema v1.7.0 released

Skeema v1.7.0 has been released! This new version adds support for Aurora MySQL 8 and MariaDB 10.7, 64-bit Linux ARM builds, self-update functionality in the Premium CLI, and more.

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Skeema v1.6.0 released

Skeema v1.6.0 is now available! This release adds new SSL / TLS options; premium improvements for routines, views, and triggers such as definer stripping; and new builds for M1 Macs and packages for Alpine Linux.

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Safely switching MySQL charsets using Skeema

Converting your database to a different character set can be a difficult and perilous process. In this post, we’ll cover several ways that Skeema can help simplify this task.

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Announcing the Premium CLI

We are pleased to announce the release of the Premium edition of the Skeema CLI, with support for views, triggers, AWS Aurora, native Windows build, and more!

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Skeema v1.5.0 released

Skeema v1.5.0 has been released! This new version adds diff support for tables with check constraints, and also includes major enhancements to Skeema’s internal connection and query behaviors.

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New online command reference

Skeema’s documentation has received a major overhaul, including a brand new command reference.

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DB AMA video session with live demos

Join Skeema’s creator, Evan Elias, for a video discussion on August 11 at 8am PT! The session is part of the DB AMA series, and will include live demos and Q&A.

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Skeema v1.4.0 released

Skeema v1.4.0 has been released! This new version includes diff support for partitioned tables and generated columns. Several other enhancements are included, especially for users with large-scale database deployments.

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