VirtualZ
PropelZ
Mainframe Data Access for Data Lakes
Simplify extracting and loading mainframe data into cloud-based data lakes.
Multi-Cloud Support
Compatibility with leading cloud data warehouse and data lake solutions, giving organizations flexibility in selecting the right platform for their needs.
Automated Data Pipeline
Automate the extraction, transformation, and loading (ETL) of mainframe data into cloud data lakes, eliminating manual processes and ensuring that data is always available for analysis.
Secure Data Transfer
Ensure the secure and encrypted transfer of mainframe data to cloud-based data lakes, protecting sensitive information throughout the process.
Data Optimization
Optimize mainframe data for efficient storage in cloud environments, improving access speeds and minimizing space usage for faster analytics.
Scalable Storage
Leverage the scalability of cloud storage, allowing organizations to store large volumes of mainframe data without significant infrastructure overhead.
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Cost Savings
Reduces on-premises storage expenses by transitioning mainframe data to cost-effective and scalable cloud-based data lakes.
Simplified Data Management
Streamlines data management by integrating mainframe data with cloud-native data lakes, enhancing ease of access and governance.
Accelerated Insights
Provides real-time access to mainframe data from cloud platforms, enabling faster and more efficient analytics and reporting.
Increased Flexibility
Offers multi-cloud compatibility, enabling businesses to choose the best platform for their operational and analytical needs.
Enhanced Data Availability
Ensures that mainframe data is readily available for cloud-native applications, improving operational efficiency and driving better business outcomes.