Qlik Talend Cloud vs ibi Open Data Hub for Mainframe comparison

Why PeerSpot?

Information Builders and Qlik are both solutions in the Data Integration category. Information Builders is ranked #65, while Qlik is ranked #7 with an average rating of 7.9. Information Builders holds a 0.6% mindshare in DI, compared to Qlik’s 2.5% mindshare. Additionally, 100% of Information Builders users are willing to recommend the solution, compared to 89% of Qlik users who would recommend it.

ibi Open Data Hub for Mainf...

Read 1 ibi Open Data Hub for Mainframe review

2,249 Views
1,687 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

21,375 Views
8,550 Comparison Views

89% willing to recommend

ibi Open Data Hub for Mainf...

Qlik Talend Cloud

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and ibi Open Data Hub for Mainframe are competing products in data management and integration. Despite Qlik Talend Cloud being cost-effective and offering excellent support, ibi Open Data Hub's superior features make it a more worthwhile investment.

Features: Qlik Talend Cloud provides robust data integration, transformation, and analytics capabilities, making it appealing for its intuitive data handling. In contrast, ibi Open Data Hub for Mainframe is known for comprehensive data aggregation and processing power on mainframe systems. The primary contrast is Qlik Talend Cloud's flexibility and agility for cloud environments, while ibi Open Data Hub is tailored to mainframe robustness.

Ease of Deployment and Customer Service: Qlik Talend Cloud is notable for its straightforward cloud-based deployment and responsive support, facilitating quick setup with minimal friction. ibi Open Data Hub for Mainframe has a more complex deployment process due to its mainframe focus but provides robust support for complex environments. Qlik Talend Cloud is advantageous for tech buyers seeking rapid deployment, whereas ibi Open Data Hub suits environments dependent on mainframe systems.

Pricing and ROI: Qlik Talend Cloud is cost-efficient with competitive pricing and a quick return on investment, appealing to budget-conscious buyers. ibi Open Data Hub for Mainframe entails higher initial costs but promises substantial long-term value and ROI through its advanced feature set. Buyers must weigh short-term cost savings with Qlik Talend Cloud against the long-term benefits and capabilities of ibi Open Data Hub.

To learn more, read our detailed Data Integration Report (Updated: October 2026).

Buyer's Guide

Data Integration

October 2026

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Helped 920,769 peers since 2012

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

65th

Average Rating

10.0

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Data Integration

7th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (4th), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (6th)

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of ibi Open Data Hub for Mainframe is 0.6%, up from 0.6% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.5%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	2.5%
ibi Open Data Hub for Mainframe	0.6%
Other	96.9%

Data Integration

Featured Reviews

it_user3876

Database Manager at a tech company with 51-200 employees

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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Henrique Fsantos

Data & Analytics Engineer at PicPay

Automated data pipelines have improved analytics workflows and provide trusted reporting data

The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

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Quotes from Members

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

Pros

"All staff members and users can request an account which can be accessed from all PCs on the company’s network."

"It has definitely streamlined certain processes."

"We are still in the process of evaluating them, but I love the way things look in Talend, and I'm all for Talend."

"The file fetch process is impeccable."

"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

"The best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship."

"What I like about the Talend MDM Platform is that it's a good vendor diagnostic tool."

"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."

More Qlik Talend Cloud pros

Cons

"DataHub is volatile; the records are completely re-loaded each day, which puts a burden on the system."

"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."

"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"I encountered scalability issues."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."

"I would say that some of the support elements need improvement."

"Processing large volumes of data sometimes consumes a lot of resources."

More Qlik Talend Cloud cons

Pricing and Cost Advice

Information not available

"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"The licensing cost is about 40,000 Euros a year."

"The licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."

"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"The product pricing is considered very good, especially compared to other data integration tools in the market."

"The solution's pricing is very reasonable and half the cost of Informatica."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

20%

Performing Arts

12%

Comms Service Provider

12%

Healthcare Company

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

Questions from the Community

Ask a question

Earn 20 points

What needs improvement with Talend Data Quality?

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...

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What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...

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What advice do you have for others considering Talend Data Quality?

Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...

See all answers

Comparisons

Tungsten RPA vs ibi Open Data Hub for Mainframe

Compared 17% of the time

SAP Data Services vs ibi Open Data Hub for Mainframe

Compared 12% of the time

Informatica PowerCenter vs ibi Open Data Hub for Mainframe

Compared 11% of the time

SSIS vs ibi Open Data Hub for Mainframe

Compared 7% of the time

TIBCO BusinessWorks vs ibi Open Data Hub for Mainframe

Compared 5% of the time

More ibi Open Data Hub for Mainframe Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Talend Cloud

Compared 3% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

Ataccama ONE Platform vs Qlik Talend Cloud

Compared 2% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

IBM webMethods Hybrid Integration vs Qlik Talend Cloud

Compared 2% of the time

More Qlik Talend Cloud Competitors

Product Reports

Buyer's Guide

Data Integration

October 2026

Download ibi Open Data Hub for Mainframe product report

Buyer's Guide

Qlik Talend Cloud

October 2026

Download Qlik Talend Cloud product report

Also Known As

iWay Data Hub, Data Hub, Information Builders Data Hub

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

ibi Open Data Hub for Mainframe enables seamless data integration and access, empowering businesses to leverage mainframe data efficiently. It provides robust tools to access mainframe data while ensuring security and control.

The platform offers comprehensive solutions for businesses seeking to harness the power of mainframe data. Combining advanced analytics with secure data access, ibi Open Data Hub for Mainframe ensures organizations can extract maximum value from their data resources. It focuses on efficient data handling, analytics, and reporting, enabling businesses to make informed decisions quickly.

What are the key features of ibi Open Data Hub for Mainframe?

Real-Time Data Access: Provides instant access to mainframe data, ensuring up-to-date information for analytics and reporting.
Security Management: Offers robust security measures, ensuring data protection and compliance with industry standards.
Scalable Architecture: Supports scalability, accommodating growing data demands without compromising performance.
Integration Capabilities: Seamlessly integrates with existing IT infrastructure, enhancing data workflows and processes.

What benefits and ROI should you consider?

Enhanced Data Insights: Provides actionable insights that drive strategic decisions and optimize operations.
Cost Efficiency: Reduces operational costs through streamlined data access and management processes.
Improved Agility: Accelerates response times and increases business agility by facilitating rapid access to essential data.

ibi Open Data Hub for Mainframe finds applications across industries, providing tailored solutions to sectors like finance, healthcare, and retail. In finance, it enhances data transparency and compliance, while in healthcare, it supports patient data management. Retail businesses benefit from improved customer data analysis, contributing to optimized sales strategies.

Information Builders

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

Ford Motor Company, City of Erlanger, Kentucky Police Dept., Helzberg Diamond Inc.

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: October 2026.

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