AI TOOL PROFILE
OpenLegacy Hub: Legacy Modernization Software
- Software Development
- Application Modernization
- Enterprise companies
- Mid-market companies
- Organizations using IBM mainframes
- Organizations using IBM i series
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise companies, Mid-market companies, Organizations using IBM mainframes, Organizations using IBM i series
- Key use cases
- Phased Cloud Migration, APIzation of Core Systems, Legacy Data Integration, System Decoupling
- Integrations
- AWS, Azure, GCP, GitHub, GitLab
- Official website
- Visit OpenLegacy Hub official website
How AI is used
OpenLegacy Hub is a modernization platform designed to bridge the gap between legacy back-end systems and modern cloud environments. It connects directly to mainframes and IBM i systems, allowing businesses to expose legacy logic as digital services without requiring a complete rewrite of the original code.
The tool is built for companies in sectors like finance, insurance, manufacturing, and retail. It helps these organizations move toward cloud architectures using a phased approach to reduce migration risk.
Key components include a Modernization Planner for visualizing dependencies and an Integration Studio for generating APIs. The platform supports various protocols and deployment options, including hybrid and on-premises setups, and does not require additional middleware to function.
Buyers should confirm if their specific legacy protocols and cloud targets are supported and evaluate how the platform's no-code or low-code options align with their internal development skills.
Key Features
AI-Assisted Automation
Uses AI to analyze legacy systems and generate standardized, documented APIs.
Modernization Planner
Visualizes system dependencies to help identify decoupling points and create phased migration roadmaps.
Integration Studio
An engine that turns mainframe and IBM i logic into cloud-ready services using no-code, low-code, or full-code options.
Multi-Protocol Support
Supports communication standards including REST, SOAP, Kafka, MQ, and gRPC.
Flexible Deployment
Supports deployment to AWS, Azure, GCP, hybrid environments, or on-premises setups.
Direct Connectivity
Connects directly to legacy systems without the need for an ESB or iPaaS layer.
Use Cases
Phased Cloud Migration
Supporting a gradual move to the cloud by creating a coexistence layer between legacy systems and new cloud services.
APIzation of Core Systems
Exposing CICS, IMS, or COBOL transactions as APIs for use in mobile apps and partner portals.
Legacy Data Integration
Streaming data from mainframes or IBM i systems into Kafka, cloud data lakes, or AI platforms.
System Decoupling
Implementing internal and external decoupling patterns to replace program-to-program calls with APIs.
Integrations
- AWS
- Azure
- GCP
- GitHub
- GitLab
- Jenkins
- Azure DevOps
FAQ
What does OpenLegacy Hub do?
- It connects to legacy systems like mainframes and IBM i to automatically generate digital services and APIs, allowing these systems to work with modern cloud applications without changing the underlying legacy code.
Does it require specialized legacy skills to use?
- While legacy SMEs are helpful for complex cases, the platform is designed with no-code and low-code options so that modern cloud and API teams can deliver services without needing to be COBOL or RPG experts.
Where can OpenLegacy services be deployed?
- Generated services can be deployed on-premises, in hybrid environments, or on major cloud platforms including AWS, Azure, and GCP.
Source category: Software Development
Source subcategory: Application Modernization
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