Rocket Data VirtualizationRocket Software
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Related Products
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About
At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry.
We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer.
Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative.
The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.
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About
Rocket® Data Virtualization (RDV) provides real‑time, zero‑copy access to mainframe and distributed data through a unified SQL abstraction layer. It lets organizations query and combine heterogeneous sources without data movement or replication, supporting analytics, AI/ML, and cloud‑native workloads while maintaining system‑of‑record governance. RDV connects to Db2, VSAM, IMS, Adabas, Datacom, and relational or cloud stores via JDBC/ODBC. Optimizations such as predicate pushdown, parallel execution, and adaptive caching deliver low‑latency access with minimal production impact. Security includes encryption, row/column‑level controls, data masking, and SAF/RACF integration, with high‑availability options for continuity. By keeping data in place and offloading read‑heavy workloads, RDV reduces mainframe CPU usage and enables governed enterprise data access without ETL or replication.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data engineers, data architects, data scientists, data testers, CIOs and business leaders
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Audience
Rocket® Data Virtualization is designed for enterprise data and integration teams in hybrid environments that need secure, governed, real-time access to data across mainframe, distributed, and cloud systems—without copying data—so they can accelerate analytics and application delivery while meeting performance and compliance requirements
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Company InformationK2View
Founded: 2009
United States
k2view.com
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Company InformationRocket Software
Founded: 1990
United States
www.rocketsoftware.com/product-categories/data-virtualization
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Categories |
Categories |
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Data Fabric Features
Data Access Management
Not Supported
Data Analytics
Not Supported
Data Collaboration
Not Supported
Data Lineage Tools
Supported
Data Networking / Connecting
Supported
Metadata Functionality
Supported
No Data Redundancy
Not Supported
Persistent Data Management
Not Supported
Data Management Features
Customer Data
Not Supported
Data Analysis
Not Supported
Data Capture
Not Supported
Data Integration
Supported
Data Migration
Supported
Data Quality Control
Not Supported
Data Security
Not Supported
Information Governance
Not Supported
Master Data Management
Supported
Match & Merge
Not Supported
Integration Features
Dashboard
Not Supported
ETL - Extract / Transform / Load
Supported
Metadata Management
Not Supported
Multiple Data Sources
Not Supported
Web Services
Not Supported
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Integrations
Azure Marketplace
Supported
IBM Cloud
Not Supported
Model Context Protocol (MCP)
Supported
Salesforce
Supported
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Integrations
Azure Marketplace
Not Supported
IBM Cloud
Supported
Model Context Protocol (MCP)
Not Supported
Salesforce
Not Supported
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