Hazelcast Auto Database Integration

The Industry's Most Efficient Database Integration Tool for Data Grids.

Effortless Integration with Your Database

Hazelcast Auto Database Integration is a highly efficient, time-saving tool for companies working with databases. It streamlines the development of Hazelcast applications by generating a Java domain model representation (POJOs and more) of the database, allowing companies to be productive with Hazelcast in no time.



Automatic Generation of Java Domain Model

Automatically generates a Java domain model for the given database with POJOs (Portable), SerializationFactories, ClassDefinitions, MapStores, MapLoaders, ClientConfiguration, Ingest, and Index.

Reduced Maintenance of Java Domain Model

Changes in the database schema do not entail manual configurations. Instead, automatic schema migration can be performed to quickly adapt the application to the new schema.

Easy Project Config and Capacity Expansion

The IMDG does not need the generated classes on its classpath. New Hazelcast nodes can be added to an existing IMDG with no additional configuration or prior knowledge of existing applications.

Initial Data Ingest Support

Utility methods for bootstrapping the IMDG from an existing database via a single call are generated. These methods support the parallel loading of tables.

Data is Persistent

Updates to the grid can easily be propagated into the database using write-through, write-behind or IMDG-only operations. Client-side persistence is also offered with write-through or Hazelcast only updates.

Familiar Java Stream API

As an alternative to the Hazelcast API, developers are given the option to express CRUD operations as standard Java Streams. Using familiar APIs can reduce the learning curve and lower the risk for mistakes.

”This partnership automates some of the tedious intricacies of deployments and reduces the potential for errors, which could cut maintenance costs.”

Greg Luck
CTO of Hazelcast

Integrates with Any RDMBS

Hazelcast Auto DBI coexists nicely with the current backend and works for any RDBMS; MySQL, DB2, Microsoft SQL Server, Oracle, AS/400, PostgreSQL, MariaDB, SQLite, Informix or Snowflake.