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What is Adabas & Natural?
In a rapidly evolving world, having a forward-thinking partner is crucial to navigate the future effectively. This partner will help you ensure the longevity of your valuable Adabas & Natural applications well into 2050 and beyond. For years, your reliance on Adabas & Natural has met your operational demands, and now it's time to embrace a future that enhances your investment while capitalizing on the unique business logic within your essential systems. We aim to be that strategic ally, committed to driving the digital transformation of your legacy systems in a seamless and risk-free manner. Together, we can tackle the generational shift in developers, upgrade your applications to lower costs, expand the capabilities of your core systems, and accelerate development in a modern environment. Utilize advanced Adabas & Natural technologies to optimize your IT infrastructure and quickly rejuvenate your applications with confidence. Integrate effortlessly with new services via APIs, tap into cloud solutions for running Adabas & Natural, and attract new developer talent through a DevOps methodology. Furthermore, shifting mainframe workloads to zIIP can lead to significant cost reductions while enhancing your operational efficiency for the future. Ultimately, the path to modernization is not solely about adopting new technologies; it's about positioning your organization for success in a constantly changing landscape while fostering innovation and agility.
What is AWS Transform?
AWS Transform is a cutting-edge AI service provided by Amazon Web Services that streamlines the modernization of legacy workloads, especially those tied to .NET, mainframe systems, and VMware environments. By harnessing AWS's wealth of expertise in migration and modernization, this service employs dedicated AI agents to undertake various tasks such as assessment, code analysis, dependency mapping, refactoring, decomposition, validation, and planning, all of which can be executed concurrently to boost the efficiency of large-scale transformations. Different teams can collaborate seamlessly and manage modernization initiatives from inception to completion through a shared workspace and a natural-language chat interface. AWS claims that AWS Transform can speed up the migration of .NET applications by as much as four times, significantly accelerate VMware configuration changes, and reduce mainframe migration durations from several years to just a few months. In addition, this service seeks to decrease expenses related to legacy licensing, infrastructure, and continuous maintenance, making it an essential tool for organizations aiming to optimize their operations. By offering a holistic approach to modernization, AWS Transform not only simplifies the transformation process but also fosters enhanced teamwork among diverse groups, ultimately driving greater efficiency and innovation within organizations.
Integrations Supported
Amazon Web Services (AWS)
.NET
IBM z/OS
IRI CoSort
Intellisys
Microsoft Azure
Rocket Data Replicate & Sync
Tidal Accelerator
VMware Cloud
Integrations Supported
Amazon Web Services (AWS)
.NET
IBM z/OS
IRI CoSort
Intellisys
Microsoft Azure
Rocket Data Replicate & Sync
Tidal Accelerator
VMware Cloud
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Software AG
Date Founded
1969
Company Location
Germany
Company Website
www.softwareag.com/en/adabas-natural/
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/transform/
Categories and Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Database Backup
Automatic Backup
Backup Locations
Backup Scope Settings
Differential Backup
Filegroup Backup
Full Backup
Incremental Backup
Manual Backup
Multiple Backups