IBM Cloud Pak for Data vs Talend Data Management Platform comparison

IBM and Talend are both solutions in the Data Integration category. IBM is ranked #24 with an average rating of 7.7, while Talend is ranked #21 with an average rating of 7.8. IBM holds a 2.0% mindshare in DI, compared to Talend’s 1.2% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 86% of Talend users who would recommend it.

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,349 Views
2,208 Comparison Views

86% willing to recommend

Talend Data Management Plat...

Read 21 Talend Data Management Platform reviews

1,953 Views
1,504 Comparison Views

86% willing to recommend

IBM Cloud Pak for Data

Talend Data Management Plat...

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Executive SummaryUpdated on Dec 19, 2024

Talend Data Management Platform and IBM Cloud Pak for Data compete in the data management and analytics sector. Talend is recognized for its ease of use and integration capabilities, while IBM stands out with its advanced AI and machine learning features.

Features: Talend Data Management Platform provides open-source ETL transformations, the Talend Admin Console for collaborative project management, and efficient cloud interaction capabilities. IBM Cloud Pak for Data features Watson Studio and Watson Machine Learning for AI deployment, data governance with Watson Knowledge Catalog, and effective containerization to facilitate cloud transitions.

Room for Improvement: Talend faces challenges with installation errors, a lack of multitasking capabilities, and slow ETL transformations. Users also point out the need for better documentation and scalability. IBM Cloud Pak for Data could improve its AI lifecycle management, simplify installation processes, and offer more connectors while addressing resource demands and performance stability.

Ease of Deployment and Customer Service: Talend is deployed in on-premises configurations, facing technical support and deployment challenges. Its community and support framework have mixed reviews. IBM Cloud Pak for Data is available on public and hybrid clouds, offering robust solutions but needing streamlined support and better multi-cloud alignment. Talend is suitable for traditional setups, while IBM fits cloud-centric environments with room for support enhancements.

Pricing and ROI: Talend presents a cost-effective solution with a flexible pricing structure, though its subscription model may not fit all businesses. It offers quick ROI through time and resource savings. IBM Cloud Pak for Data is considered expensive for small businesses but offers a competitive cost relative to its features, with significant initial setup costs. Talend provides accessible entry costs, whereas IBM requires a higher investment, balanced by its extensive features.

To learn more, read our detailed IBM Cloud Pak for Data vs. Talend Data Management Platform Report (Updated: July 2025).

Buyer's Guide

IBM Cloud Pak for Data vs. Talend Data Management Platform

July 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

Ranking in Data Integration

24th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Talend Data Management Plat...

Ranking in Data Integration

21st

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 2.0%, up from 1.7% compared to the previous year. The mindshare of Talend Data Management Platform is 1.2%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

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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Jason Hale

Enterprise Architect at Waikato Regional Council

Comprehensive documentation and smooth collaboration have transformed our development process

There are always areas for improvement. They have actually in the last 12 months done a lot of work on the UI. If you had contacted me at Christmas last year, the UI was really dated. Now, they have not finished cleaning it up or bringing it into a new flash version. But because it has such a simple design, it is actually so easy to use. They have taken a lot of the complexity out of it, so you just click on a button and it does it all for you. I think one weakness, which I might have worked around today, is spatial data. But that might change by Monday. That is again because there is so much functionality, actually the real weakness is they have got too much functionality, if that is a weakness. Because there are 10 ways to do everything, and each way has its own pros and cons, and you really have to make your decision about which way to implement it. When you have five developers or three developers doing something, it is very easy for three people to do the same thing three different ways. On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something. It means that a lot of our custom environments are fantastic because we can just plug it in a slightly different way. But because it does so much, it is a lot to get your head around the whole thing. We tend to focus on the small stuff that we are adding value to right now.

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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."

"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."

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

"Its data preparation capabilities are highly valuable."

"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 Watson Catalog and data pipelines are the most valuable features of the solution."

"DataStage allows me to connect to different data sources."

"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."

More IBM Cloud Pak for Data pros

"We can develop our own code if we do not see the functionality we need."

"The tool was mainly used for ETL processes to apply governance rules on data."

"The solution is very user-friendly and easy to understand."

"The process of upgrading the software is quite easy."

"I like everything about this product, but the biggest thing is the ease of use."

"The availability of connectors is great."

"The basic tools are easy to pick up and understand."

"They're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application."

More Talend Data Management Platform pros

Cons

"Cloud Pak would be improved with integration with cloud service providers like Cloudera."

"The product must improve its performance."

"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."

"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."

"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."

"There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement."

"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."

"The technical support could be a little better."

More IBM Cloud Pak for Data cons

"We'd like to see more connectors it the future."

"I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one."

"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."

"The stability is good, but the performance is slower when I work on a huge amount of data."

"The sales and market department could improve the Talend Data Management Platform."

"The documentation from version to version could be more accurate."

"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."

"The biggest challenge with Talend was its performance."

More Talend Data Management Platform cons

Pricing and Cost Advice

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

"The solution is expensive."

"It's quite expensive."

"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."

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

"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 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."

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

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

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

"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."

"License renewal is on a yearly basis."

"The tool is cheap."

"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

30%

Manufacturing Company

11%

Computer Software Company

Government

Financial Services Firm

16%

Computer Software Company

14%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM Cloud Pak for Data?

DataStage allows me to connect to different data sources.

See all answers

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

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.

See all answers

What needs improvement with IBM Cloud Pak for Data?

See all answers

What do you like most about Talend Data Management Platform?

We can develop our own code if we do not see the functionality we need.

See all answers

What is your experience regarding pricing and costs for Talend Data Management Platform?

Talend was an open-source tool, so there were no fees associated with it.

See all answers

What needs improvement with Talend Data Management Platform?

I understand this might relate more to another platform, like the cloud API cloud platform. Nevertheless, data management could also encompass APIs and real-time streaming data integration. I wonde...

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 10% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 9% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 8% of the time

More IBM Cloud Pak for Data Competitors

Collibra Catalog vs Talend Data Management Platform

Compared 14% of the time

SAP Data Services vs Talend Data Management Platform

Compared 10% of the time

Ab Initio Co>Operating System vs Talend Data Management Platform

Compared 8% of the time

Talend Open Studio vs Talend Data Management Platform

Compared 8% of the time

Pentaho Data Integration and Analytics vs Talend Data Management Platform

Compared 7% of the time

More Talend Data Management Platform Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

August 2025

Download IBM Cloud Pak for Data product report

Buyer's Guide

Talend Data Management Platform

July 2025

Download Talend Data Management Platform product report

Also Known As

Cloud Pak for Data

Talend Integration Suite

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 offers robust data integration in an open and scalable architecture to maximize its value to your business. Simple, graphical tools and wizards get you up and running quickly with native code generation that streamlines development.

Talend

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Accent Group, Acticall, Allianz Global Investors Distributors LLC, Car & Boat Media, Cdiscount.com

Buyer's Guide

IBM Cloud Pak for Data vs. Talend Data Management Platform

July 2025

Free Report: IBM Cloud Pak for Data vs. Talend Data Management Platform

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