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IBM Cloud Pak for Data vs Talend Data Management Platform comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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
25th
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
13
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
20
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 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 - PeerSpot reviewer
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.
Selim Seddiki - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"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."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"DataStage allows me to connect to different data sources."
"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."
"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."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"Cloud Pak is a very, very, very good system."
"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."
"The most valuable features of the Talend Data Management Platform are the components."
"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"The most valuable feature is the data loading and scripting language"
"We can develop our own code if we do not see the functionality we need."
"The availability of connectors is great."
"The tool was mainly used for ETL processes to apply governance rules on data."
 

Cons

"The solution's catalog searching or map search needs to be improved."
"The solution could have more connectors."
"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."
"The solution's user experience is an area that has room for improvement."
"The technical support could be a little better."
"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."
"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 product must improve its performance."
"Performance and speed could be improved."
"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 wonder if, at the same price, the API component could be added, which would be beneficial."
"The solution's memory sometimes bottlenecks and that can be challenging."
"They lack in memory capacity."
"We'd like to see more connectors it the future."
"The stability is good, but the performance is slower when I work on a huge amount of data."
"Data management could also encompass APIs and real-time streaming data integration."
 

Pricing and Cost Advice

"The solution is 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."
"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's pricing is competitive with that of other vendors."
"It's quite expensive."
"I think that this product is too expensive for smaller companies."
"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 tool is cheap."
"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 solution's pricing is very reasonable and half the cost of Informatica."
"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."
"License renewal is on a yearly basis."
"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
27%
Computer Software Company
11%
Manufacturing Company
10%
Government
7%
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
8%
Government
6%
 

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.
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.
What needs improvement with IBM Cloud Pak for Data?
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...
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.
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.
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...
 

Also Known As

Cloud Pak for Data
Talend Integration Suite
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
Accent Group, Acticall, Allianz Global Investors Distributors LLC, Car & Boat Media, Cdiscount.com
Find out what your peers are saying about IBM Cloud Pak for Data vs. Talend Data Management Platform and other solutions. Updated: April 2025.
850,236 professionals have used our research since 2012.