Table of Contents
By default SavaPage is packaged with Apache Derby as internal database. This gives you the opportunity to evaluate SavaPage on a small scale right away. However, in a production environment with multiple users, we strongly advise you to use PostgreSQL as external database server.
Using the internal database in situations with multiple users and thus concurrent use, will inevitably lead to locking, deadlock and out-of-memory errors, which can make the system totally unresponsive.
Other situations can be extra reason to choose for an external database, like:
Organizational policy dictates that all applications must be consolidated on a single database infrastructure.
You want to take advantage of existing maintenance and backup procedures that are present on your current database infrastructure.
You want to use third party reporting tools to view and analyze the SavaPage database.
You want optimal (tailored) performance, since SavaPage is intensively used by a very large user population. So, for example, you want to deploy a dedicated database server as a scalable solution.
This chapter describes how to connect and migrate to an external database. For database tuning, see Section 11.3.2, “Database Connection Settings”.
SavaPage is able to use any database that has a JDBC driver available that is supported by Hibernate Dialects. However, PostgreSQL on GNU/Linux servers is our first choice. PostgreSQL is designed to be highly scalable, is optimized for concurrent use, and handles datasets of any size efficiently. It behave robust with thousands of users and is very well suited for large scale SavaPage implementations. Above that, PostgreSQL is Free and Open Source software, and complies to Open Standards.
Of course it is possible to connect SavaPage to your existing database infrastructure other than PostgreSQL (for instance Oracle). Please contact your SavaPage Community Representative to assist you with configuring the connection.
 Hibernate is an object-relational mapping tool for the Java programming language. It provides a framework for mapping an object-oriented domain model to a relational database. Hibernate supports several SQL Dialects. Each dialect specifies the database type and is responsible for connecting to the database and generating the appropriate SQL statements.