Google Contributes Data Partitioning Capability to Hibernate

Today RedHat announced three new top level Hibernate projects: Validator, Search, and Shards. Search and Validator are both promotions of existing work. Shards which was contributed by Google is a horizontal partitioning solution build on top of Hibernate Core. From the press release:

Hibernate Shards, contributed by Google, offers critical data clustering and support for horizontal partitioning (also called sharding) to Hibernate. Now, customers can keep their data in more than one relational database for whatever reason-too much data or to isolate certain datasets, for instance-without added complexity when building and managing applications. Hibernate Shards is designed to encapsulate and reduce the complexity of building applications that work with sharded datasets.

"The ability to improve scalability by seamlessly distributing data across multiple databases is crucial for enterprise applications that transact against large or physically distributed datasets," said Google software engineer Max Ross. "We're pleased to contribute our implementation for horizontal partitioning to open source via Hibernate, and we look forward to working with the Hibernate team to further this technology."

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