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App & Data Integration
Capabilities
Application integration Data integration API management B2B integration Event integration
Solutions
Banking Manufacturing Logistics Retail Insurance Utilities Communications Marketing Sales Finance
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Mainframe data modernization

Simple, secure, effective. Migration, modernization, and integration for your mainframe data.

Unlock the value of your mainframe data
For enterprises looking for an easy, secure, and cost effective way to provide their mainframe data to those who would benefit from it, StreamSets offers Mainframe Collector. This is the easiest and most efficient way to access mainframe data while adhering to your mainframe security framework (no changes necessary). Best of all, data is presented to data consumers in a relational format that can be easily queried with SQL without impacting mainframe performance.
Why should you use StreamSets Mainframe Collector?
Watch this explainer video for a brief overview
Easy & intuitive data access presented in relational format and queried with SQL
Adapts to existing security frameworks
Delivery to modern data platforms including AWS, Snowflake, Azure, Google, Databricks, HPE
Lower in cost and requires less effort than alternative solutions
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Use cases 
Business analytics
  • Optimize sales and pricing
  • Inspect customer behavior
  • Improve operations (optimize equipment & production)
  • Supply chain optimization (purchase, build, distribute, support, return)
Improving service
  • Provide direct access to transactions and historic records
  • Citizen and Government
Reporting GRC and ESG
  • Know your customer (KYC)
  • Consumption of resources (carbon footprint)
StreamSets Mainframe Collector
Easily Include Your Mainframe Data In Your Cloud Data Analytics Platform
Awards and recognition
Frequently asked questions
  • What are the reasons for mainframe data modernization?
    Over the last decade there has been a push toward digital transformation, driven by the cloud. Data-driven decision making has become critical for every organization, and organizations use cloud analytics platforms like Snowflake, Databricks, Amazon, Google, and Microsoft to get the best insights. To take those insights to the next level, it’s important to include the decades of transactional and operational data stored in mainframes. This can only happen by modernizing mainframe data with a mainframe connector or mainframe integration software.
  • What is mainframe data modernization?
    Mainframe data modernization is the process of making mainframe data compatible with and moving it to modern cloud-based systems.
  • What are the risks of mainframe modernization?
    • High costs
    • Loss of application knowledge
    • Skill shortage
    • Performance and stability issues
    • Resistance to new technologies
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The name Software AG and all Software AG product names are either trademarks or registered trademarks of Software AG and/or its subsidiaries and/or its affiliates and/or their licensors. Other company and product names mentioned herein may be trademarks of their respective owners.
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