AUTOMATED DATA MIGRATION

IDMS to Cloud Migration

Our Automated IDMS Migration solution delivers modern Cloud-enabled databases and supporting applications that are functionally equivalent to their legacy counterparts. Our software converts the IDMS database into a relational model, providing instant access to vendor and third party tools for reporting, monitoring, maintaining, and documenting. In addition, it eliminates IDMS licensing costs and allows the data to be accessed and analyzed by a vast talent pool of DBAs with modern skillsets.

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Why modernize?

CHALLENGES

Scarcity of domain expertise

Developers and database administrators who understand mainframe technology are reaching retirement age and no one is trained to replace them, resulting in a steadily diminishing talent pool. As this shortage grows, the costs and risk of relying on legacy systems will continue to rise.

Limited flexibility

Successful digital transformation and business agility hinges on good data. Non-relational databases and the underlying assets that support them were not designed for today’s business demands or modern IT. This results in difficult integrations, inaccessible data, and limited flexibility.

Exorbitant costs

Mainframes cost as much as 4,500 per cent more to operate than equivalent Cloud counterparts. This figure is compounded by rising licensing and maintenance fees for ancillary mainframe applications and databases.

Automated IDMS Migration

OUR SOLUTION

Our Automated IDMS Migration solution includes the generation of a new relational database to replace the functionality, set relationships, indexes, and data structures that are currently part of the IDMS network database. The new target database can reside on or off-mainframe, and can use any of the standard relational database management systems (SQL Server, Oracle, Db2, PostgreSQL).

Automated IDMS Migration provides a complete replacement for all IDMS database functionality including multi-member sets, chained and sorted sets, bill-of-material structures, group and occurring fields, DBKEY usage, and more. Primary keys, foreign keys, and index definitions are automatically created, and all constraints are generated into the resulting DDL. Table spaces, indexes, table names, and column names are all generated according to your naming standards.

The IDMS data extract and relational load process is simple, straightforward, and fast. We can provide a number of extract variations for customers that have special requirements for a short IDMS data migration window. Our Data Migration software gives us numerous capabilities for tailoring your data migration so that the new database meets your requirements.

The IDMS database definition can be re-collected and processed through our Automated IDMS Migration software anytime throughout the project lifecycle. This prevents the need to put a freeze on changes to the IDMS structure, a huge win for critical business systems that change often.

Refactoring ancillary applications

Our Automated Refactoring solution provides a turnkey modernization of the applications that use the IDMS database including ADS/Online (ADSO), COBOL, Assembler, Easytrieve, JCL and Procs for IDMS applications. This service also includes IDMS-based application components such as process modules, maps, ADSA structures, edit and code tables, automatic editing, IDD messages, scratch and queue processing, and IDMS-DC language subroutines.

Our solution preserves the benefits of legacy systems while empowering organizations to leverage the advantages of newer platforms, especially the Cloud. This unlocks a whole new world of automation and scalability from automated testing to quality assurance, and the ability to leverage containerized deployments and orchestration with Docker and Kubernetes.

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Over 35 years of mainframe modernization experience

More than 500 successful modernization projects completed

Over 2.5 billion lines of code refactored through automation

Intelligent modernization, unparalleled experience

OUR PROCESS

Additional insights to help you modernize

RESOURCES

  • 2020 Mainframe Modernization Report

    Explore the global trends in the mainframe market, the challenges facing organizations and the case for application modernization among large enterprises with annual revenues over $1 billion.

    Read report
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  • Liberate legacy data

    This whitepaper provides insight to the common challenges in handling legacy data and options for solving them.

    Read whitepaper
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  • Dwr Cymru Welsh Water I Utilities

    Tools Read case study
  • Progressive Casualty Insurance

    Tools Read case study
  • Liberating Legacy Data from IDMS and IDMSX

    Webinar Watch on demand
  • Companies House

    Tools Read case study

News & Opinions

BLOG // 15-06-2021

Natural and Adabas Migration: Mitigating Disaster with the Power of Aut…

by Brandon Edenfield, Managing Director of Application Modernization

Natural and Adabas Migration: Mitigating Disaster with the Power of Automation