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Stratio Generative AI Data Fabric vs ibi Open Data Hub for Mainframe comparison

Information Builders and Stratio are both solutions in the Data Integration category. Information Builders is ranked #58, while Stratio is ranked #105. Additionally, 100% of Information Builders users are willing to recommend the solution.
ibi Open Data Hub for Mainf...
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100% willing to recommend
Stratio Generative AI Data ...
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  • 19 Comparison Views
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 22, 2025

ibi Open Data Hub for Mainframe and Stratio Generative AI Data Fabric compete in the data management sector. Stratio Generative AI Data Fabric seems to have the upper hand due to its advanced AI-driven functionalities.

Features: ibi Open Data Hub for Mainframe supports legacy integration with robust data access from mainframe systems. It is a strong fit for environments heavily reliant on mainframes. Stratio Generative AI Data Fabric offers AI-driven analytics and real-time data processing, allowing for deeper insights and automation. This makes Stratio ideal for businesses focusing on comprehensive AI capabilities.

Ease of Deployment and Customer Service: ibi Open Data Hub for Mainframe features seamless deployment within mainframe environments and reliable customer support. Stratio Generative AI Data Fabric provides modular and flexible deployment options, adaptable to varied IT setups. Its wider adaptability is supported by effective customer service, appealing to organizations with diverse infrastructures.

Pricing and ROI: ibi Open Data Hub for Mainframe's competitive pricing attracts organizations with existing mainframe investments, ensuring low initial costs. Stratio Generative AI Data Fabric may involve higher initial expenses but aims to deliver significant ROI through advanced data automation and AI features. For those aiming at a major data transformation, Stratio's potential ROI justifies the investment.

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Buyer's Guide
Data Integration
June 2025
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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

ibi Open Data Hub for Mainf...
Ranking in Data Integration
58th
Average Rating
10.0
Reviews Sentiment
5.4
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Stratio Generative AI Data ...
Ranking in Data Integration
105th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Featured Reviews

it_user3876 - PeerSpot reviewer
Provides High Reliability and Data Security
• Data in the datahub refreshes nightly. As the data only refreshes once every day, it is necessary to have to wait for any changes to thesource systems to become available.The daily refresh can be extremely useful for reconciling data. • DataHub only displays details of current members of the Organization. So it has much limited data available for generation of dynamic reports. • DataHub is volatile. The records are completely re-loaded each day. It puts burden on the system. • There are very few summary tables available due to storage of data in a detailed format. • The detailed information is not stored in the DataHub. It is stored in the relevant source system. Only commonly required data is stored within the DataHub.
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Compared 37% of the time
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Product Reports

Buyer's Guide
Data Integration
June 2025
ibi Open Data Hub for Mainframe reportDownload ibi Open Data Hub for Mainframe product report
Buyer's Guide
Data Integration
June 2025
Stratio Generative AI Data Fabric reportDownload Stratio Generative AI Data Fabric product report
 

Also Known As

iWay Data Hub, Data Hub, Information Builders Data Hub
No data available
 

Overview

The ibi Open Data Hub for Mainframe offers streamlined access to mainframe data directly within chosen BI tools, simplifying a traditionally cumbersome process. It enables real-time analysis of mainframe data, eliminating delays associated with data warehouse updates. Compatible with various BI tools like Tableau and Power BI, it ensures flexibility in software selection. Security protocols maintain data integrity, and features ensure data availability and reliability. Key benefits include improved data availability, simplified retrieval processes, enhanced analytics capabilities, and modernization without data migration.

Information Builders

Stratio Generative AI Data Fabric brings innovative, intelligent data solutions tailored for enhancing efficiency and performance across business processes.

This technology offers an advanced platform built to improve data management and analysis through its generative AI capabilities. It seamlessly integrates with existing infrastructure to optimize data processes, allowing organizations to unlock actionable insights and drive real-time decision-making. By leveraging machine learning algorithms, it enables businesses to harness the full potential of their data assets, providing a competitive advantage in a digital landscape.

What are the key features of Stratio Generative AI Data Fabric?
  • Data Integration: Streamlines data from multiple sources into a cohesive framework.
  • Real-Time Analysis: Provides instant analytics for informed decision-making.
  • Scalability: Adapts to growing data needs without performance loss.
  • AI-Powered Automation: Reduces manual tasks with automated workflows.
What benefits does Stratio Generative AI Data Fabric offer?
  • Cost Efficiency: Lowers operational expenses through automation.
  • Enhanced Performance: Boosts data processing speeds significantly.
  • Improved Insights: Generates deeper analytics for strategic planning.
  • Increased ROI: Enhances revenue potential with data-driven strategies.

In industries like finance and retail, Stratio Generative AI Data Fabric is implemented to streamline data workflows and provide enhanced customer analytics, enabling companies to personalize services and anticipate market trends effectively.

Stratio
 

Sample Customers

Ford Motor Company, City of Erlanger, Kentucky Police Dept., Helzberg Diamond Inc.
Information Not Available
Buyer's Guide
Data Integration
June 2025
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