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t just works - Migrate from any version (incl. an empty database) to the latest version of the schema Automatic migration on startup - Ship migrations together with the application and run them automatically on startup Convention Over Configuration - Classpath Scanning to automatically discover Sql and Java migrations Plain Old Sql - SQL scripts for regular migrations (incl. placeholder replacement). No proprietary XML formats, no lock-in. No limits - Java classes for advanced migrations Highly reliable - Safe for cluster environments (Multiple machines can migrate in parallel) Maven support - Maven plugin for migrating manually Fail fast - Inconsistent database or failed migration prevents app from starting. Schema Clean - Drop all tables, views, triggers, ... from a schema without dropping the schema itself

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DdlUtils is a small, easy-to-use component for working with Database Definition (DDL) files. These are XML files that contain the definition of a database schema, e.g. tables and columns. These files can be fed into DdlUtils via its Ant task or programmatically in order to create the corresponding database or alter it so that it corresponds to the DDL. Likewise, DdlUtils can generate a DDL file for an existing database. DdlUtils uses the Turbine XML format, which is shared by Torque and OJB. This format expresses the database schema in a database-independent way by using JDBC datatypes instead of raw SQL datatypes which are inherently database specific. An example of such a file is:

Daffodil Replicator is a Java tool for data synchronization, data migration, and data backup between various database servers. Daffodil Replicator works over standard JDBC driver and supports replication across heterogeneous databases. At present, it supports following databases: Microsoft SQL Server, Oracle, Daffodil DB, DB2, Derby, MySql, and PostGreSql. Daffodil Replicator is available in both enterprise and open source versions referred as Daffodil Replicator(E) and Daffodil Replicator(OS) respectively. For more details on Daffodil Replicator (E) or Daffodil Replicator (OS), click on the links on the left.

SymmetricDS is web-enabled, database independent, data synchronization/replication software. It uses web and database technologies to replicate tables between relational databases in near real time. The software was designed to scale for a large number of databases, work across low-bandwidth connections, and withstand periods of network outage. By using database triggers, SymmetricDS guarantees that data changes are captured and atomicity is preserved. Support for database vendors is provided through a Database Dialect layer, with implementations for MySQL, Oracle, SQL Server, PostgreSQL, DB2, Firebird, HSQLDB, H2, and Apache Derby included. Synchronization can be configured to push data (trickle-back) or pull data (trickle-poll) at an interval. SymmetricDS allows for synchronization between two or more tiers of nodes, such as the following: A farm of web server nodes fronting an enterprise-class general office database A handful of regional servers for synchronizing from the general office to remote geographical areas 1000(s) of store server nodes using a departmental class database to sync with a regional node 10(s) of Point of Sale (POS) register nodes using an embedded database to sync with a store server Deployment options include the following: Web application archive (WAR) deployed to an application server such as Tomcat, Jetty, or JBoss Standalone service Embedded in an application SymmetricDS is written in Java and licensed as open source software under the GNU Lesser General Public License (LGPL).

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A Scala ORM and DSL for talking with Databases with minimum verbosity and maximum type safety

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Teiid is a data virtualization system that allows applications to use data from multiple, heterogenous data stores. Teiid is comprised of tools, components and services for creating and executing bi-directional data services.  Through abstraction and federation, data is accessed and integrated in real-time across distributed data sources without copying or otherwise moving data from its system of record.