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Software AG

Software AG offers JOPAZ, a mainframe optimization platform that shifts COBOL workloads off the central processor to instantly reduce MIPS consumption and free capacity for new initiatives.

Darmstadt, GermanyFounded 19691.9K50K+ followers
Updated 2 months ago

Funding

$388.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

SL
Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises running legacy COBOL applications on mainframes often face limited CPU capacity, high operational costs, and difficulty scaling workloads without compromising performance.

Solution

Software AG’s JOPAZ platform enables organizations to offload COBOL workloads from the central processor, instantly reducing MIPS consumption and freeing capacity for new initiatives. By integrating with IBM Z, Linux, and cloud environments, JOPAZ preserves existing application functionality while providing a pathway to modern DevOps pipelines. The solution includes automated workload analysis, dynamic workload redistribution, and seamless integration with Software AG’s Adabas & Natural and CONNX data virtualization tools, allowing customers to modernize, extend, and innovate on top of their mission‑critical systems.

Target Audience

Primary customers are large enterprises and government agencies that operate mission‑critical mainframe workloads and seek to improve capacity, reduce technical debt, and enable cloud‑native development.

Features

  • Real‑time COBOL workload shifting that reduces central processor MIPS without altering application code
  • Automated profiling and recommendation engine to identify optimal offload candidates
  • Compatibility with IBM Z®, Linux® and hybrid cloud deployments for flexible modernization
  • Integrated support for Adabas & Natural applications, enabling continued use of legacy data models
  • CONNX data virtualization layer to access and move data across structured and unstructured sources for analytics and AI
  • Dashboard and reporting tools that monitor performance impact and capacity gains
This profile is AI-generated and may contain inaccuracies.