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 #16 with an average rating of 8.2, while Talend is ranked #20 with an average rating of 7.9. IBM holds a 1.8% mindshare in DI, compared to Talend’s 1.2% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 85% of Talend users who would recommend it.

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,778 Views
1,932 Comparison Views

86% willing to recommend

Talend Data Management Plat...

Read 20 Talend Data Management Platform reviews

1,867 Views
1,543 Comparison Views

85% 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: April 2025).

Buyer's Guide

IBM Cloud Pak for Data vs. Talend Data Management Platform

April 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

16th

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

20th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.8%, up from 1.7% compared to the previous year. The mindshare of Talend Data Management Platform is 1.2%, down from 1.4% 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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Selim Seddiki

Consultant en intelligence décisionnelle at VO2 Group

Accessible support with easy upgrades and helpful patch support

The process of upgrading the software is quite easy. For instance, upgrading the Studio is straightforward, especially if done automatically. However, I typically do it manually by downloading the patch and placing it in the dedicated folder before restarting the studio. I have successfully requested the necessary patch from Talend support multiple times to align different studio versions across the team of developers. It was not difficult, and having access to Talend support directly from TNC proved quite beneficial. Our business has been running smoothly for three and a half years.

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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

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

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

"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."

"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."

"You can model the data there, connect the data models with the business processes and create data lineage processes."

"Scalability-wise, I rate the solution a nine or ten out of ten."

"The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."

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

More IBM Cloud Pak for Data pros

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

"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."

"The most valuable feature is integration."

"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."

"The solution is connected to various phones. It retrieves the configuration from the system."

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

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

"The availability of connectors is great."

More Talend Data Management Platform pros

Cons

"The solution's catalog searching or map search needs to be improved."

"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 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 product must improve its performance."

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

"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."

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

More IBM Cloud Pak for Data cons

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

"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."

"They lack in memory capacity."

"Once you get past the basic tools, it gets pretty complicated."

"Including either XML or JSON in the next release would definitely be a good transformation. I'm not sure if Talend has that feature, but it's one of those requirements that we are working around and have to do some parsing of XML so this could make it easier."

"The biggest challenge with Talend was its performance."

"The solution's memory sometimes bottlenecks and that can be challenging."

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

More Talend Data Management Platform cons

Pricing and Cost Advice

"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."

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

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

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

"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."

"The solution is expensive."

"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."

"It's quite expensive."

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

"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."

"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."

"License renewal is on a yearly basis."

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

"The tool is cheap."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

11%

Manufacturing Company

10%

Government

Computer Software Company

19%

Financial Services Firm

18%

Manufacturing Company

Government

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.

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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 41% of the time

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

Compared 17% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 12% of the time

Denodo vs IBM Cloud Pak for Data

Compared 11% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 7% of the time

More IBM Cloud Pak for Data Competitors

Collibra Catalog vs Talend Data Management Platform

Compared 16% of the time

Talend Open Studio vs Talend Data Management Platform

Compared 14% of the time

SAP Data Services vs Talend Data Management Platform

Compared 11% of the time

Talend Data Fabric vs Talend Data Management Platform

Compared 11% of the time

Ab Initio Co>Operating System vs Talend Data Management Platform

Compared 10% of the time

More Talend Data Management Platform Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

April 2025

Download IBM Cloud Pak for Data product report

Buyer's Guide

Talend Data Management Platform

March 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

April 2025

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

Find out what your peers are saying about IBM Cloud Pak for Data vs. Talend Data Management Platform and other solutions. Updated: April 2025.

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