Unlocking the Power of Modern Data Strategies with VirtualZ™
As businesses continue to embrace digital transformation, integrating legacy data into modern cloud platforms has become increasingly crucial.
VirtualZ’s Mainframe-to-Cloud Data Integration solution is specifically designed to facilitate this integration, allowing organizations to seamlessly access and analyze mainframe data within cloud environments such as Snowflake, Google BigQuery, and Amazon Redshift.
By leveraging VirtualZ’s powerful Lozen™ and PropelZ™ software, companies can enhance their data strategy while reducing the complexity and costs associated with traditional ETL processes.
Why Choose VirtualZ for Data Integration?
VirtualZ’s Mainframe-to-Cloud Data Integration solution encompasses all the software and services needed to enable efficient data migration and integration. This robust solution allows organizations to accelerate their analytics, business intelligence (BI), and artificial intelligence (AI) initiatives, paving the way for data-driven decision-making.
Key Features of Mainframe-to-Cloud Data Integration
- Real-Time Data Access with Lozen: Lozen provides organizations with real-time, read-write access to their mainframe data, enabling hybrid cloud applications to utilize current data without the delays of replication.
- Cost-Effective Data Integration: By integrating mainframe data directly into cloud platforms, organizations can eliminate the need for costly ETL tools and cumbersome manual data migration processes. This not only reduces integration costs but also streamlines operations.
- No-Code, Out-of-the-Box Integration: Our solution is designed for ease of use, requiring no custom coding or complex configurations. Lozen and PropelZ install and run immediately, providing organizations with instant access and migration capabilities.
- Flexible Data Integration Options: VirtualZ’s software supports a wide array of cloud data platforms, including Snowflake, Amazon Redshift, and Databricks. This flexibility allows businesses to choose the optimal storage and processing platforms tailored to their specific needs.
- Scalable and Resilient Data Management: Our solution ensures unlimited scalability, enabling businesses to manage and integrate large volumes of mainframe data in the cloud without sacrificing performance. This scalability is essential for accommodating growing data needs.
- Enhanced Security and Compliance: VirtualZ’s solution maintains robust security by leveraging existing mainframe security protocols, ensuring secure data access while remaining compliant with industry standards.
Benefits for Customers
- Instant Data Access: Organizations can enable real-time, read-write access to their mainframe data in cloud environments like Snowflake, eliminating replication delays.
- Cost Efficiency: Companies can save significantly on integration costs by utilizing no-code software and avoiding the expense of traditional ETL tools.
- Seamless Integration: The no-code solution allows for instant integration with cloud platforms like Google BigQuery and Azure Synapse Analytics, minimizing time-to-market and development efforts.
- Scalability and Flexibility: Organizations can easily scale their data storage and processing capabilities to meet changing business demands without the need for additional physical hardware.
- Enhanced Data Security: By integrating existing mainframe security protocols with cloud-native solutions, businesses can maintain high levels of data security and compliance.
Conclusion
VirtualZ’s Mainframe-to-Cloud Data Integration solution transforms how organizations manage and utilize their mainframe data.
By leveraging the capabilities of Lozen and PropelZ, businesses can modernize their data strategies, unlock advanced analytics opportunities, and enhance their overall business intelligence — all while preserving the robustness and security of their mainframe infrastructure.
