Slides are online (and downloadable) at http://www.slideshare.net/Sheeri/scale-db-preso-for-boston-my-sql-meetup-92009 Mike Hogan, CEO of ScaleDB spoke about ScaleDB at the Boston MySQL User Group in September 2009: ScaleDB is a storage engine for MySQL that delivers shared-disk clustering. It has been described as the Oracle RAC of MySQL. Using ScaleDB, you can scale your cluster by simply adding nodes, without partitioning your data. Each node has full read/write capability, eliminating the need for slaves, while delivering cluster-level load balancing. ScaleDB is looking for additional beta testers, sign up at http://www.scaledb.com

In the words of Sheeri: "At the January 2009 Boston User Group I presented a session on the new partitioning feature in MySQL 5.1. I go through how to define partitions, how partitioning makes queries faster, the different types of partitioning and when to use each type, and the restrictions and limitations of partitioning. The slides are available at http://www.technocation.org/files/doc/2009_01_Partitioning.pdf Notes: The partitioning part of the MySQL Manual is at: http://dev.mysql.com/doc/refman/5.1/en/partitioning-overview.html. The functions that are not allowed in partitioning expressions are listed at: http://dev.mysql.com/doc/refman/5.1/en/partitioning-limitations.html We also had an interesting development — according to the manual, an INSERT to a partitioned table that includes values that do not have a partition should insert all values up to the failure point. The example I used (and  []