IBM Cloud Pak for Data vs Informatica PowerExchange comparison

IBM Cloud Pak for Data vs. Informatica PowerExchange

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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)

Informatica PowerExchange

Ranking in Data Integration

18th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

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 Informatica PowerExchange is 1.1%, up from 1.0% 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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Mohammad Faizan Ahmad

Sr. Technical Engineer at Investcorp Bank BSC

Helpful in handling areas like complex data sources and data processing but needs improved support services

The major challenge with the tool stems from the fact that if you are implementing it in the cloud, then it has to be within the framework. Another challenge is the large volume of data. Informatica PowerExchange is a product through which we enable connectivity, so it is not an application product or a stand-alone tool, but Informatica's core systems or IICS uses it to connect to multiple systems. The major challenge associated with the tool is on the infrastructure side. The tool's features could be something faster with more connectors. A number of connectors can help connect to a wide variety of applications. The tool should focus on reducing the resilient time, like, if any network disconnectivity happens, then auto-reconnection and the retry method should be more robust so that manual intervention is not required. We communicate with the tool's support team as we need to raise our issues with them. I have already worked with Informatica and have a total experience of around eight to nine years; the one problem with the tool is its support team since they take a lot of time to address a particular issue. If one time you schedule a call and explain the situation to them about the issue, the support team will raise tickets and take notes. They will ask you to share the logs or screenshots of the errors, and you will get no resolution. The support team will randomly give you some documents and expect you to go through them, and if you get back to them with questions, a new person will be allocated, and you will have to start explaining everything again. I would not say it is a pleasant experience.

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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

"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."

"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."

"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."

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

"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."

"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."

More IBM Cloud Pak for Data pros

"It is easy to integrate the solution with other tools."

"The agentless RCDC enablement through PowerExchange is a great idea and has worked very well so far."

"Provides a significant amount of control over the landscape and overall implementation."

"Mainstream integration and real-time integration are the best features."

"Overall, it's a good tool. It's currently number one on the market. It pretty much has all the necessary capabilities to pull the incremental data from the source system, technically speaking."

"The transformation work called for Informatica PowerExchange. It was easy to work with this and very stable."

"I would rate Informatica PowerExchange nine out of ten due to its robust functionality within the Informatica ecosystem and its seamless integration with other Informatica products."

"The solution can connect to different systems i.e. mainframe, IMS or AS/400 Legacy Systems."

More Informatica PowerExchange pros

Cons

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

"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."

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

"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 technical support could be a little better."

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

"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."

More IBM Cloud Pak for Data cons

"They should make it quick and easy for use of citizen data integration or for people or integrators developing at the customer side. They could be development teams within the business team. For them, the product owners can consider making it a little bit more seamless and a little bit more democratized."

"The connectivity with T24 core banking could be improved."

"The product is not suitable for application integration."

"The product's high costs can be an area of concern where improvements are required."

"I would like the stability to improve."

"Informatica is very expensive in all aspects, so the pricing is something that could be improved."

"Pushdown optimization could be improved."

"I have minimal exposure to PowerExchange at this point."

More Informatica PowerExchange cons

Pricing and Cost Advice

"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."

"The solution is expensive."

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

"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."

"It's quite 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."

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

"There is a need to pay towards the licensing cost of the product. It is an expensive product."

"The cost of PowerExchange is reasonable. It does not rely on complicated formulas or unrealistic equations. The pricing model is straightforward. There is one component, and real-time integration is included. Some other solutions require purchasing additional modules or third-party plugins for this capability."

"Many users don't prefer to use the product, considering the high costs attached to the licensing part of the solution."

"An annual package license fee is required."

"It's expensive. In fact, nobody would buy any product of Informatica if the price was the only consideration. It costs money, and it doesn't come cheap, but it provides value for money in many ways."

"There are licensing and connector costs. Basically, Informatica is pay-as-you-use."

"The product is not very expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

10%

Government

Financial Services Firm

27%

Computer Software Company

12%

Insurance Company

10%

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.

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 do you like most about Informatica PowerExchange?

The product’s flexibility is valuable.

What is your experience regarding pricing and costs for Informatica PowerExchange?

The pricing and cost depend heavily on SAP's licensing structure, especially if using SAP integration services. Informatica is seen as broader in integrations.

What needs improvement with Informatica PowerExchange?

One area that could be improved is performance, as PowerExchange sometimes has less performance compared to native connectors when dealing with a huge volume of data. Additionally, the tool faces t...

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Comparisons

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Denodo vs IBM Cloud Pak for Data

Compared 10% of the time

Talend Data Fabric vs IBM Cloud Pak for Data

Compared 2% of the time

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Informatica PowerCenter vs Informatica PowerExchange

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Informatica Intelligent Data Management Cloud (IDMC) vs Informatica PowerExchange

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Oracle GoldenGate vs Informatica PowerExchange

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AWS Database Migration Service vs Informatica PowerExchange

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Product Reports

IBM Cloud Pak for Data

Download IBM Cloud Pak for Data product report

Informatica PowerExchange

Download Informatica PowerExchange product report

Also Known As

Cloud Pak for Data

PowerExchange, Connectors

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

Informatica PowerExchange Connectors provides high performance, out-of-the-box connectivity without having to develop custom data access programs.

Informatica

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

ACH Food, BNSF Railway Company, Illinois State University

IBM Cloud Pak for Data vs. Informatica PowerExchange