AUTOMATED DATA MODERNIZATION AND REFACTORING

Natural and Adabas

Our Automated Natural and Adabas Modernization solution delivers modern, Cloud-enabled applications and databases that are functionally equivalent to their legacy counterparts, eliminating the hassle and expense of Natural, Adabas, Software AG licensing, and the mainframe. This reduces cost, allows for deeper integration, and enables customization to meet business requirements. In addition, it allows the resulting relational database to be accessed and analyzed by a vast talent pool of DBAs with modern skillsets.

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Discussing the 2022 Mainframe Modernization Report

60 minutes

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Why modernize?

CHALLENGES

Scarcity of domain expertise

Developers who understand Natural and Adabas 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 Natural will continue to rise.

Limited flexibility

Companies are rapidly moving to modern environments and practices such as DevOps and the Cloud. Natural, Adabas, and the underlying systems that support them were not designed for modern IT, resulting in difficult integrations 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.

Natural and Adabas Modernization

OUR SOLUTION

Our Natural and Adabas Modernization solution includes the generation of a new relational database to replace the functionality, multiple-occurring fields and groups, and other data element structures that are part of your Adabas inverted list 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). In addition to this, it also includes Automated Refactoring, which preserves the benefits of legacy Natural-based systems while empowering organizations to leverage the advantages of newer platforms, especially the Cloud. This unlocks a whole new world of quality and scalability from automated testing to quality assurance, and the ability to leverage containerized deployments and orchestration with Docker and Kubernetes.

Automated Adabas Modernization

Our Automated Adabas Modernization solution includes the generation of a new relational database to replace the functionality, multiple-occurring fields and groups, and other data element structures that are part of your Adabas inverted list 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 Adabas Modernization provides a complete replacement for all legacy database functionality including MU and PE management, ISN usage, super descriptors, sub descriptors, and more. The resulting database is fully relational, primary 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 Adabas 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 Adabas 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 Adabas database definition can be re-collected and processed through our Automated Adabas Migration software anytime throughout the project lifecycle. This prevents the need to put a freeze on changes to the Adabas structure, a huge win for critical business systems that change often.

Automated Natural Refactoring

Many Natural transformation solutions create structurally similar programs in the target language but require additional re-engineering efforts to yield desired results. Our Automated Natural Refactoring solution, harnessing a powerful combination of our Application Transparency Platform (ATP®) software and an iterative transformation methodology, delivers a modern Java or C# application based on fully maintainable open systems.

Our Automated Natural Refactoring process was designed with the following requirements in mind:

  • Refactored applications must remain functionally equivalent to their original counterparts
  • Refactored applications must be easily maintainable, attain SonarQube A ratings, and follow object-oriented concepts and paradigms
  • Refactored applications should perform as well as, or better than, the original applications
  • Refactored applications should be Cloud-ready and delivered using a standard DevOps toolchain and best practices

Once the Natural applications and associated databases are refactored, Java and C# developers can extend application functionality for Cloud optimization using standard DevOps tools and CI/CD concepts that simply aren’t available for mainframe applications. Precious business logic from the legacy system is preserved, while levels of optimization can be applied to deliver efficiencies and business benefits such as elasticity, granular service definition, and easy integration with Cloud-native services.

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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 resources to help you modernize

 
 

WHITEPAPER

Data Migration: Liberate legacy data

This whitepaper outlines the challenge of data locked in legacy systems, the options for solving them, and a breakdown of our solutions.

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ON DEMAND

Natural/Adabas migration strategy

Discover considerations for mapping a migration path, and how to modernize Natural/Adabas applications for a more secure future.

Watch on demand

 

 

 
 

REPORT

2022 Mainframe Modernization Report

Exploring the impact of the new era of digitalization and change on the current state of legacy systems and organizations' modernization plans.

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Jul 29, 2022 by Rob Anderson, Vice President of Marketing and Product, Advanced

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Aug 11, 2021 by Rob Anderson, Vice President of Marketing and Product, Advanced

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Jun 15, 2021 by Rob Anderson, Vice President of Marketing and Product, Advanced

News & Opinions

BLOG // 27-01-2023

Microsoft Roundtable Recap: Mainframe Transformation Insights – Migrate…

by Tim Jones, Managing Director - Application Modernization

Microsoft Roundtable Recap: Mainframe Transformation Insights – Migrate or Transform

Cloud – the path to legacy modernization

Organizations are actively aiming to reduce their dependency on legacy systems such as mainframes. From our 2022 Mainframe Modernization Business Baro…

by Tim Jones, Managing Director - Application Modernization

BLOG // 20-01-2023
Cloud – the path to legacy modernization

Six modernization predictions for 2023

The post-pandemic era of digitalization brought a tsunami of innovation and change for the enterprise, and this will continue on in 2023. As we turn t…

by Tim Jones, Managing Director - Application Modernization

BLOG // 12-01-2023
Six modernization predictions for 2023