IBM Cloud Pak for Data vs Talend Open Studio [EOL] comparison

IBM and Qlik are both solutions in the Data Integration category. Additionally, 88% of IBM users are willing to recommend the solution, compared to 98% of Qlik users who would recommend it.

IBM Cloud Pak for Data

Read 14 IBM Cloud Pak for Data reviews

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2,033 Comparison Views

88% willing to recommend

Talend Open Studio [EOL]

Read 51 Talend Open Studio [EOL] reviews

98% willing to recommend

IBM Cloud Pak for Data

Talend Open Studio [EOL]

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Executive SummaryUpdated on Nov 18, 2025

Talend Open Studio and IBM Cloud Pak for Data compete in the data integration and data management category. IBM Cloud Pak for Data seems to have the upper hand with its advanced AI capabilities and data virtualization, appealing more to enterprises.

Features: Talend Open Studio offers user-friendly data integration with numerous pre-built connectors, customizable ETL jobs, and a simple interface, making it ideal for smaller businesses. IBM Cloud Pak for Data includes advanced data virtualization, AI capabilities via Watson Studio, and containerization for flexible cloud deployment, catering to larger enterprises.

Room for Improvement: Talend Open Studio needs better installation configuration, comprehensive documentation, more training resources, and improved technical support. IBM Cloud Pak for Data could benefit from streamlined installation, enhanced integration capabilities with additional connectors, and a simplified architecture.

Ease of Deployment and Customer Service: Talend Open Studio supports versatile on-premises deployments with community-driven technical support, which may be limited. IBM Cloud Pak for Data offers flexible deployment options in hybrid and public clouds, but its complexity can be challenging for smaller setups. IBM provides professional support but could improve its responsiveness.

Pricing and ROI: Talend Open Studio is cost-effective with its open-source version, suitable for small to medium-sized enterprises, though it can be expensive at an enterprise level. IBM Cloud Pak for Data is more expensive, fitting for larger corporations. It offers favorable ROI for extensive data integration needs but may not justify costs for smaller businesses.

To learn more, read our detailed Data Integration Report (Updated: December 2025).

Buyer's Guide

Data Integration

December 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

IBM Cloud Pak for Data

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Integration (23rd), Data Virtualization (3rd)

Talend Open Studio [EOL]

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Michelle Leslie

Data asset management engineer at a tech services company with 1-10 employees

Starts strong with data management capabilities but needs a demo database

What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated. There are so many components to data management, and more often than not, people understand one thing really well. They may understand DataStage and how to move data around, but they do not see the impact of moving data incorrectly. They also do not see the impact of everyone understanding a piece of data in the same way. I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in. It would be great if Cloud Pak, from a data modeling point of view, allowed us to import our PDMs, for example. It would be ideal to import and create business terms in Cloud Pak. The PEA would be great to create the technical data. The association between the business and the technical metadata could then be automated by pulling it through from your ACE models. The data modeling component is available in Cloud Pak. Additionally, when it comes to Cloud Pak, even though it has the NextGen DataStage built into it, there is Cloud Pak for data integration as well. Currently, I do not think we have a full enough understanding of how CP4D and CP4I can enhance each other.

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Sushrit Moundekar

Program Manager at InfoCepts

Has supported building flexible data pipelines and streamlined ETL orchestration

There should be a dedicated support team for Talend Open Studio. We do have a support team, but at times it is critical for us to fix certain things within one or two hours. Usually, the support team takes some 12 hours, which is the standard edition of support. If we could have round-the-clock support, we would be able to resolve many issues which we encounter during the development part. The initial setup for Talend Open Studio is a little complex. We need to have a dedicated person who has an understanding of Talend Open Studio as a tool. It takes some level of expertise, so it is not an easy process, but once we have a dedicated associate who is knowledgeable in that particular field, it becomes comparatively easier.

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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

"I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography."

"The most valuable features are data virtualization and reporting."

"Cloud Pak is a very, very, very good system."

"It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten."

"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources."

"IBM Cognos is very stable and has been around for many years, with many users familiar with it, making it a reliable solution for our institution."

"What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data."

"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."

More IBM Cloud Pak for Data pros

"The API integration and big data approach are very good because of how you extract data from JSP files or big data web repositories like MongoDB."

"The most valuable feature of Talend Open Studio is the tMap component. There is a lot of functionality in one component."

"The most valuable feature for me when it comes to this solution is that it's easy to use."

"I can connect with different databases such as Oracle Database or SQL Server. It allows you to extract the data from one database to another. I can structure the data by filtering and mapping the fields. It is very user-friendly. You need to know the basics of SQL development or SQL queries, and you can use this tool."

"It has got so many connectors. It is intuitive and easy to use."

"I didn't have many problems installing it. It seemed very straightforward to me."

"Talend lets you do everything — mapping, workflow, and orchestration — in a single place."

"Talend Studio has the ability to use it to ensure data quality."

More Talend Open Studio [EOL] pros

Cons

"The solution's user experience is an area that has room for improvement."

"The product must improve its performance."

"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."

"The solution could have more connectors."

"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."

"The technical support could be a little better."

"The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem."

"What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated."

More IBM Cloud Pak for Data cons

"The price for Talend Data Integration should be less expensive."

"The user interface could be made simpler."

"It doesn't have the ability to keep the repository of the source code (visual pipeline). It can be integrated with Git."

"The server-side should be completely revamped."

"It needs better installation configuration for other databases. Although the installation allows you to select another database, this doesn't mean that all connection points in the application point to the database selected. You actually need to do a search through the entire install to locate the configuration settings and change them."

"In the next release, Open Studio should include cloud storage as an input."

"As for improvement or additional features, I would like to know how to use Java in Talend and also how to use Talend in the cloud or in big data. I would prefer to have storage directly on Talend."

"In terms of features, it has all the features that I need. However, it consumes a lot of resources. It is using a lot of RAM, and they need to fix the issue related to resource consumption. It currently requires more than 24 gigabytes of RAM, which is a big amount of RAM."

More Talend Open Studio [EOL] cons

Pricing and Cost Advice

"It's quite expensive."

"The solution's pricing is competitive with that of other vendors."

"The solution is expensive."

"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."

"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."

"I think that this product is too expensive for smaller companies."

"Cloud Pak's cost is a little high."

"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."

"Pricing is always a challenge. It is quite an expensive model, but because the platform is so simple to use, we haven't had to purchase any additional licenses."

"Talend is free and you can download it."

"The paid version of this solution has a very high price, but even with the limitations, the Community version works fine."

"Right now, because we're using the open-source version, there's no cost."

"It is an open-source tool which means it is a free solution."

"The cost for one year for the ETL tools, not for the big data, is 6K per year. It is a good price."

"For Talend Open Studio, there is a need to make yearly payments towards the licensing cost. Talend Open Studio is a bit expensive, in my opinion."

"It is an open-source product."

More Talend Open Studio [EOL] pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Manufacturing Company

10%

Computer Software Company

Government

Financial Services Firm

16%

Computer Software Company

11%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Large Enterprise	10

By reviewers
Company Size	Count
Small Business	22
Midsize Enterprise	13
Large Enterprise	18

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?

The pricing and setup cost are handled by a different procurement team. Our IT procurement team is centralized, so licensing and the actual cost of the software are taken care of by a different tea...

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What needs improvement with IBM Cloud Pak for Data?

I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.

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What is your primary use case for IBM Cloud Pak for Data?

The main use case for IBM Cognos is for business intelligence and reporting.

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How does Talend Open Studio compare with AWS Glue?

We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...

See all answers

What do you like most about Talend Open Studio?

It is easy to use and covers most of the functions needed. We can use the code without any extra effort. The open source is very good. They have the same commercials with additional connectors. The...

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What is your experience regarding pricing and costs for Talend Open Studio?

The setup cost is expensive, so there are considerations.

See all answers

Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 40% of the time

Denodo vs IBM Cloud Pak for Data

Compared 12% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data

Compared 8% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 7% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 6% of the time

More IBM Cloud Pak for Data Competitors

SSIS vs Talend Open Studio [EOL]

Compared 10% of the time

Informatica PowerCenter vs Talend Open Studio [EOL]

Compared 9% of the time

IBM InfoSphere DataStage vs Talend Open Studio [EOL]

Compared 7% of the time

Oracle Data Integrator (ODI) vs Talend Open Studio [EOL]

Compared 4% of the time

Talend Data Fabric vs Talend Open Studio [EOL]

Compared 4% of the time

More Talend Open Studio [EOL] Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

January 2026

Download IBM Cloud Pak for Data product report

Buyer's Guide

Talend Open Studio [EOL]

December 2025

Download Talend Open Studio [EOL] product report

Also Known As

Cloud Pak for Data

Open Studio

Overview

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

IBM

Talend Open Studio [EOL] is a user-friendly data integration tool that offers comprehensive ETL capabilities with extensive connector options. Its open-source nature and integration with a range of data sources make it a versatile choice for data integration tasks.

Talend Open Studio [EOL] provides flexibility and scalability for data integration by supporting relational and NoSQL databases. It is Java-based, allowing customization and data quality features, backed by community support. Challenges include limitations in scheduling and monitoring, technical support, resource consumption, and version control. The complex installation process and need for better documentation and easier use for beginners are notable issues. Despite these, it remains a strong option for connecting legacy applications, building data warehouses, and automating processes with data migration, synchronization, transformation, and loading from ERP systems, APIs, and databases like PostgreSQL, Oracle, and SQL Server.

What are the standout features of Talend Open Studio [EOL]?

User-friendly interface: Easy to navigate and reduces the learning curve.
ETL capabilities: Powerful features for extracting, transforming, and loading data.
Connector options: Extensive connections with multiple data sources.
Customization: Java-based for tailored functionality.
Data quality support: Facilitates clean and accurate data integration.
Open-source and community support: Benefits from collective enhancements and fixes.

What benefits and ROI should users look for in reviews?

Flexibility: Supports multiple data sources and integration needs.
Scalability: Efficiently handles increased data and complex projects.
Cost-effectiveness: Open-source nature reduces software costs.
Community resources: Access to shared knowledge and solutions.

Talend Open Studio [EOL] is implemented across sectors like telecom, finance, and real estate for managing data flows, constructing information hubs, and enhancing business intelligence. Companies utilize it for data migration, synchronization, and transformation, ensuring efficient data integration in diverse applications.

Qlik

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Almerys, BF&M, Findus

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