IBM Cloud Pak for Data vs Precisely Connect comparison

IBM and Precisely are both solutions in the Data Integration category. IBM is ranked #26 with an average rating of 7.0, while Precisely is ranked #42 with an average rating of 8.0. IBM holds a 1.8% mindshare in DI, compared to Precisely’s 0.5% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 100% of Precisely users who would recommend it.

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,186 Views
2,055 Comparison Views

86% willing to recommend

Precisely Connect

Read 1 Precisely Connect review

512 Views
415 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

Precisely Connect

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM Cloud Pak for Data and Precisely Connect based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.

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

Buyer's Guide

Data Integration

October 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

26th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Precisely Connect

Ranking in Data Integration

42nd

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 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 Precisely Connect is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
IBM Cloud Pak for Data	1.8%
Precisely Connect	0.5%
Other	97.7%

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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reviewer2667306

Data Engineer at a consultancy with 1-10 employees

AI compliance integration elevates data quality and decision-making

I usually implement Precisely and Collibra tools for clients to enhance data quality. My main use case involves working with the data catalog of Precisely to integrate data management processes and ensure data governance Precisely has the AI Act already implemented into the data catalog, which…

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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."

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

"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."

"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."

"Its data preparation capabilities are highly valuable."

"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 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."

More IBM Cloud Pak for Data pros

"Using Precisely improves data quality, which can lead to a 30% increase in revenue and boost net income by 20% to 25% if implemented correctly."

"Precisely has the AI Act already implemented into the data catalog, which allows the integration of the European Artificial Intelligence Act into our processes."

Cons

"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 product must improve its performance."

"The technical support could be a little better."

"The solution's user experience is an area that has room for 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 product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."

"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 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."

More IBM Cloud Pak for Data cons

"Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more user-friendly."

Pricing and Cost Advice

"It's quite expensive."

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

"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."

"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 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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Manufacturing Company

10%

Computer Software Company

Government

Financial Services Firm

21%

Insurance Company

16%

Government

10%

Consumer Goods Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Large Enterprise	8

No data available

Questions from the Community

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

My primary use case for Cloud Pak is that I am the reference Data steward for the Africa regions in the banks where I work. My main objective is to capture the reference data in Caltech or Data and...

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What is your experience regarding pricing and costs for Precisely Connect?

Precisely has a high entry price, which is why it is not suitable for small to mid-sized organizations.

See all answers

What needs improvement with Precisely Connect?

Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more user-friendly.

See all answers

What is your primary use case for Precisely Connect?

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Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 44% of the time

Denodo vs IBM Cloud Pak for Data

Compared 13% of the time

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

Compared 11% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 8% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 8% of the time

More IBM Cloud Pak for Data Competitors

Qlik Replicate vs Precisely Connect

Compared 42% of the time

Talend Data Management Platform vs Precisely Connect

Compared 21% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Precisely Connect

Compared 19% of the time

Informatica PowerCenter vs Precisely Connect

Compared 18% of the time

More Precisely Connect Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

October 2025

Download IBM Cloud Pak for Data product report

Buyer's Guide

Data Integration

October 2025

Download Precisely Connect product report

Also Known As

Cloud Pak for Data

DMExpress, Syncsort DMX, Syncsort Connect ETL

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

Transforming and delivering application data for analytics with speed, efficiency and a flexible “design once, deploy anywhere” approach

Precisely

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Hermes, Kantar Worldpanel, Kojima Press Industry Co. Ltd., OTC Markets Group, Experian, Co-operative Group, State of Tennessee Department of Human Services, Centers for Medicare & Medicaid Services, Silverton, comScore

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: October 2025.

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