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What is Rocket Data Virtualization?
When data is spread across mainframes, on-prem systems, and cloud platforms, teams waste time reconciling numbers and waiting on complex integrations or migrations. Moving large datasets is costly and risky, and delays access to the information leaders need to make timely decisions.
Rocket® Data Virtualization™ is a data virtualization and federated query solution for hybrid enterprises. It provides a governed, unified view of data across mainframe, distributed, and cloud sources—so users and applications can access and combine information in real time without copying or physically moving data.
Key capabilities:
• Unified virtual data layer (single logical view) across sources
• Federated queries for BI/analytics and operational reporting
• Centralized governance and security controls
• Exposing legacy data to cloud apps via standard interfaces
Results: faster time to insight, lower integration costs, and reduced migration risk.
What is Hyper-Q?
Adaptive Data Virtualizationâ„¢ technology allows organizations to run their existing applications on modern cloud data warehouses with minimal changes or configuration. By utilizing Datometry Hyper-Qâ„¢, companies can quickly adopt new cloud databases, effectively control ongoing operational expenses, and improve their analytical capabilities, thereby hastening their digital transformation initiatives. This virtualization software from Datometry enables any legacy application to operate on any cloud database, promoting seamless interoperability between applications and various databases. As a result, businesses can choose their desired cloud database without the risk of dismantling, rewriting, or replacing their current applications. Moreover, it guarantees runtime compatibility for applications by emulating and transforming the functionalities of traditional data warehouses. This innovative solution can be easily implemented across major cloud platforms such as Azure, AWS, and GCP. Furthermore, applications can utilize existing JDBC, ODBC, and native connectors without needing modifications, ensuring a seamless transition to cloud environments. It also facilitates connections with prominent cloud data warehouses, including Azure Synapse Analytics, AWS Redshift, and Google BigQuery, which enhances opportunities for data integration and comprehensive analysis. With these capabilities, organizations are better positioned to leverage cloud technologies and drive business innovation.
Integrations Supported
Amazon Redshift
Amazon Web Services (AWS)
Azure Synapse Analytics
Cognizant
DXC Cloud
Google Cloud BigQuery
Google Cloud Platform
IBM Cloud
Microsoft 365
Microsoft Azure
Integrations Supported
Amazon Redshift
Amazon Web Services (AWS)
Azure Synapse Analytics
Cognizant
DXC Cloud
Google Cloud BigQuery
Google Cloud Platform
IBM Cloud
Microsoft 365
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Rocket Software
Date Founded
1990
Company Location
United States
Company Website
www.rocketsoftware.com/product-categories/data-virtualization
Company Facts
Organization Name
Datometry
Date Founded
2013
Company Location
United States
Company Website
datometry.com/products/database-migration/
Categories and Features
Categories and Features
Virtualization
Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring