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What is Rocket Enterprise Analyzer?
Rocket Enterprise Analyzer is an advanced platform designed for application intelligence and static analysis, offering organizations in-depth insights into their complex mainframe or legacy application portfolios. This tool meticulously reviews source code, databases, job schedulers, and system definitions, even when handling large volumes of data, while creating a centralized repository that encompasses the entire application structure. Utilizing detailed dependency mapping, visual representations of control-flow and data-flow, impact analyses, and metrics on code utilization, it reveals the intricate relationships among modules, data elements, and processes. The platform supports languages and environments typically associated with mainframe and legacy systems, enabling a high-level architectural understanding without requiring insights from the original developers or relying on outdated documentation. Furthermore, it includes an AI-powered Natural Language Analysis Assistant, which allows developers to engage with the codebase through simple, everyday language queries, thus simplifying the analysis process and boosting productivity. This forward-thinking approach not only makes navigating complex systems easier but also equips teams with the ability to make well-informed decisions based on comprehensive, real-time data insights. By integrating these capabilities, the platform effectively transforms the way organizations manage and understand their legacy systems.
What is Rocket Data Virtualization?
Traditional methods for integrating mainframe data, like ETL, data warehouses, and connector development, are becoming increasingly insufficient in terms of speed, accuracy, and efficiency in the current business environment. With the ever-growing volume of data generated and stored on mainframes, these timeworn approaches are increasingly outpaced. Data virtualization presents itself as a modern solution to this widening gap, streamlining the access of mainframe data for both developers and applications. This innovative method enables organizations to identify and map their data just once, allowing for easy virtualization and reuse across multiple platforms. Consequently, this capability ensures that data remains in alignment with overarching business objectives and goals. By implementing data virtualization on z/OS, organizations can effectively navigate the complexities associated with mainframe resources. Furthermore, data virtualization promotes the integration of information from various disparate sources into a unified logical repository, which significantly enhances the connection between mainframe data and distributed applications. In addition, this technique allows for the enrichment of mainframe data through the incorporation of insights derived from location, social media, and other external datasets, leading to a more holistic understanding of business dynamics. As organizations seek to remain competitive, embracing such advanced methodologies can foster agility and innovation in decision-making processes.
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
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
Company Location
United States
Company Website
www.rocketsoftware.com/en-us/products/enterprise-suite/enterprise-analyzer
Company Facts
Organization Name
Rocket
Date Founded
1990
Company Location
United States
Company Website
www.rocketsoftware.com/product-categories/data-virtualization