IBM Cloud Pak for Data vs SnapLogic comparison

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IBM Cloud Pak for Data

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Executive SummaryUpdated on Dec 19, 2024

SnapLogic and IBM Cloud Pak for Data are competing in the data integration market. IBM Cloud Pak for Data often has the upper hand due to its comprehensive analytics and AI-driven insights, offering greater long-term value despite higher pricing.

Features: SnapLogic offers code-free, drag-and-drop functionality, pre-built connectors, and scalability for rapid cloud environment integration. IBM Cloud Pak for Data provides AI and machine learning capabilities, comprehensive data governance, and a robust analytics toolset essential for deep data insights.

Room for Improvement: SnapLogic could enhance its real-time analytics features, expand its AI capabilities, and improve strategic insights. IBM Cloud Pak for Data could benefit from simplifying its complex interface, reducing deployment time, and offering more straightforward onboarding processes.

Ease of Deployment and Customer Service: SnapLogic uses a cloud-native model prioritizing speed and simplicity, supported by extensive customer assistance. IBM Cloud Pak for Data employs a containerized approach geared for hybrid clouds, with support requiring specialized guidance due to its complexity.

Pricing and ROI: SnapLogic generally provides a cost-effective setup with quicker ROI due to its straightforward integration approach. IBM Cloud Pak for Data involves higher upfront costs justified by extensive features and strategic data analytics advantages, yielding ROI over an extended period.

To learn more, read our detailed IBM Cloud Pak for Data vs. SnapLogic Report (Updated: September 2025).

IBM Cloud Pak for Data vs. SnapLogic

September 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)

SnapLogic

Ranking in Data Integration

19th

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Process Automation (13th), Cloud Data Integration (14th), Integration Platform as a Service (iPaaS) (8th)

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 SnapLogic is 1.1%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
SnapLogic	1.1%
IBM Cloud Pak for Data	1.8%
Other	97.1%

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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VinethSuresh

Senior Data Analyst at a pharma/biotech company with 10,001+ employees

Achieves rapid results in data migration and has an intuitive user interface

I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL. The interface is interactive, allowing me to quickly learn how to run pipelines and achieve production-ready results swiftly. This agility translates to cost savings, especially for smaller projects and proofs of concept, as less time and effort are needed to deliver results.

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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

"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."

"Cloud Pak is a very, very, very good system."

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

"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 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."

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

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

More IBM Cloud Pak for Data pros

"I found SnapLogic valuable and what I found most valuable about it was its ETL feature. I also found its automation feature valuable. It can be used for automating manual activities. It can be used as a middleware for certain transactional data processing and minimal datasets and ETL activities."

"The solution is easy to implement and easy to use. It's basically just drag and drop."

"The technical support from SnapLogic is excellent, and I would give it a complete ten."

"The API architecture makes it easy for orchestration."

"I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL."

"The vendor handles the maintenance of the solution"

"Overall product rating is nine out of ten."

"The solutions ability to connect "snaps" or components to the graphic user interface is very intuitive, prevents errors, and makes implementations easy."

More SnapLogic pros

Cons

"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 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 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."

"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 solution could have more connectors."

"The technical support could be a little better."

More IBM Cloud Pak for Data cons

"SnapLogic doesn't provide any on-premises software, so users have only cloud-based software to use."

"The setup cost would be four or five. There would be only one point of improvement if the price could be lower."

"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."

"We'd like there to be more ways for users to get more comfortable and have more experience with the solution to make it easier to use."

"The dashboards regarding scheduled tasks need further improvement."

"I don't think the support has better knowledge about technologies and tool support. There were lots of times when we had an issue, and it took me quite a long time to explain the problem. I feel like some of the support staff don't know their product well."

"The support is the most important improvement they could make."

"The solution isn't ideal for complex processing or logic. We use another solution for that."

More SnapLogic cons

Pricing and Cost Advice

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

"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."

"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 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 cost with SnapLogic is an annual license and better than Informatica."

"They have pricing/usage tiers that are easy to move up or down."

"SnapLogic is not expensive. It's reasonably priced."

"I used the free trial."

"By scaling the solution incrementally the cost is controlled and more beneficial to the client."

"The license model is based on consumption."

"From the ROI perspective, the price is extremely high"

"The pricing is okay."

More SnapLogic pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Manufacturing Company

10%

Computer Software Company

Government

Financial Services Firm

22%

Manufacturing Company

11%

Real Estate/Law Firm

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	5
Large Enterprise	10

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.

What needs improvement with IBM Cloud Pak for Data?

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...

What do you like most about SnapLogic?

Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.

What needs improvement with SnapLogic?

In the future, SnapLogic can make connectors with LLM connectors which are available recently. They can work on that aspect. Sometimes those connectors have low performance or don't generate accura...

What is your primary use case for SnapLogic?

Regarding automation, there were multiple business requirements to automate processes, such as sales processes and finance data. They wanted to integrate with different systems and achieve accurate...

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Comparisons

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Compared 11% of the time

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Compared 9% of the time

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Compared 8% of the time

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Matillion Data Productivity Cloud vs SnapLogic

Compared 7% of the time

Microsoft Azure Logic Apps vs SnapLogic

Compared 6% of the time

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Product Reports

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IBM Cloud Pak for Data

October 2025

Download SnapLogic product report

September 2025

Also Known As

Cloud Pak for Data

DataFlow

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

The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!