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Description
Incorporating mainframe and IBM i systems into top IT analytics and operations platforms is essential for gaining a comprehensive, enterprise-wide perspective that can bolster your digital business. In our constantly connected digital era, the IT department has become the backbone of organizational success, as even a single security incident or service disruption can halt operations entirely. Effectively tracking the myriad of applications and infrastructure components within this increasingly intricate environment and addressing problems proactively is no small feat. Fortunately, a variety of platforms exist that allow for real-time monitoring of IT security and operations across the enterprise, enabling swift action when needed. However, the challenge arises because these contemporary tools often do not provide native support for mainframe or IBM i systems. Consequently, if your business relies on these vital servers while managing them independently, you may be exposing yourself to significant risks due to a critical information gap. Therefore, integrating these systems with modern analytics tools could not only enhance visibility but also strengthen your overall operational resilience.
Description
Conventional techniques for integrating mainframe data, such as ETL, data warehouses, and connector development, are increasingly inadequate in terms of speed, accuracy, and efficiency in today’s business landscape. As the amount of data generated and stored on mainframes continues to surge, these outdated methods fall further behind. Data virtualization emerges as the solution to bridge this growing divide, automating the accessibility of mainframe data for developers and applications alike. This approach allows organizations to discover and map their data just once, after which it can be easily virtualized and reused across various platforms. Ultimately, this capability enables your data to align with your business goals and aspirations. By leveraging data virtualization on z/OS, organizations can simplify the complexities associated with mainframe resources. Moreover, data virtualization facilitates the integration of data from numerous disparate sources into a cohesive logical repository, significantly enhancing the ability to connect mainframe information with distributed applications. This method also allows for the enrichment of mainframe data by incorporating insights from location, social media, and other external datasets, promoting a more comprehensive understanding of business dynamics.
API Access
Has API
API Access
Has API
Integrations
IBM Cloud
Elastic Cloud
OpenText Content Management (Extended ECM)
ServiceNow
Splunk Cloud Platform
Splunk Enterprise
Trillium Geolocation
Integrations
IBM Cloud
Elastic Cloud
OpenText Content Management (Extended ECM)
ServiceNow
Splunk Cloud Platform
Splunk Enterprise
Trillium Geolocation
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Precisely
Founded
1968
Country
United States
Website
www.precisely.com/product/precisely-ironstream/ironstream
Vendor Details
Company Name
Rocket
Founded
1990
Country
United States
Website
www.rocketsoftware.com/product-categories/data-virtualization
Product Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services