DBMoto Cloud G Edition offers a special solution to replicate data between corporate systems such as IBM DB2, Oracle, SQL Server, Informix, MySQL and Sybase and the Google App Engine™ Datastore. Moving or sharing data between remote, disconnected data sets to support real-time reporting, analytics or operational functions can be difficult and time-consuming. Rather than using laborious methods of full-copy refreshes across slow lines, DBMoto Cloud G Edition applies Change Data Capture to make fast, efficient data updates between source and target data sets.
DBMoto® Cloud G Edition™ performs Change Data Capture operations between relational databases and Google App Engine™ Datastore via the Cloud. For optimal performance, the DBMoto Cloud G Edition product is designed to capture changes in a source database and propagate those changes to a target system. Initially, it is typically necessary to generate a snapshot of the tables involved at the source system and update the target system with the entire set of captured data.
DBMoto Cloud G Edition provides the same proven and reliable technology as DBMoto® Data Replication and Change Data Capture to manage data updates and data sharing – with the added bonus of being able to transmit relational data from source to target using the Cloud. Change Data Capture, which significantly minimizes the amount of data movement for data updates, is fully available for the supported databases, and can now be used to update remote data behind firewalls.
DBMoto Cloud G Edition replicates data between Google App Engine™ Datatore and all major database platforms such as IBM DB2 (including i/System i/iSeries/AS400, AIX, Linux, Windows, and z/OS), Oracle, Microsoft SQL Server, Sybase ASE, SQL Anywhere, MySQL, IBM Informix, Ingres, PostgreSQL and Gupta Technologies SQLBase. In Refresh (Snapshot) Mode, DBMoto Cloud G Edition reads data and writes the result on the target system. In Mirroring Mode, DBMoto Cloud G Edition performs one-way and bi-directional mirroring with CDC to synchronize data between local relational databases and Google® Datastore data.
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Key Features:
  • Data replication between source databases and Google App Engine™ Datastore, using DBMoto GBroker and Google App Engine™ Servlet for data transfer
  • Change Data Capture technology – to minimize data traffic between source and target databases
  • Support for real-time (in addition to batch) data access and movement
  • Support for any size data set
  • The ability to read source database transaction logs (to streamline data access)
  • The ability to synchronize data transactions that happen both in the relational database and in the Google App Engine™ Datastore
  • Support for databases running on any platform
  • Support for multiple relational databases
  • Powerful, easy-to-use administrative Wizards
System Requirements:

For the PC system with the DBMoto installation, these requirements assume that DBMoto Cloud G Edition will be configured with DBMoto, the GBroker and the GBrokerConfigurator on the same system

  • Windows Server 2003/2008/2012 32-bit or 64-bit
  • .NET Framework 3.5 or higher
  • Internet access capability
  • .NET, OLE DB or ODBC connection to the source database to be used in replication (except for DB2 all versions)
  • Pentium i7 (equivalent) or above
  • At least 15GB of harddisk space
  • Minimum 8GB RAM

For testing your environment before deploying to Google App Engine:

  • Java SDK version 6
  • Google App Engine SDK for Java
  • Gson library
Database Sources Supported (Mirroring and Synchronization Modes):
  • Firebird
  • Gupta Technologies SQLBase Server V8.5.0 and later
  • IBM DB2 for i and AS/400 V4R3 and later
  • IBM DB2 for zOS (OS/390) v5 and later Oracle v8 and later
  • IBM DB2 for Windows v5 and later
  • IBM DB2 for AIX, Linux, HP/UX, Solaris v5 and later
  • IBM Informix
  • IBM Netezza
  • Ingres
  • Microsoft SQL Server v6.5 and later
  • MySQL v3.23 and later
  • Oracle v8 and later
  • PostgresSQL
  • Sybase ASE v12.50 and later
  • Sybase SQL Anywhere
Database Targets Supported:
  • Google App DataStore
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HiT Software Inc. released DBMoto V9.5.0.20

May 25, 2018
  • PostgreSQL Log Reading as data source CDC
  • 2.5 bytes supports for IBM DB2/i
  • JSON datatype 
  • Enhanced replication performance