IBM Cloud Pak for Data vs SnapLogic comparison

Read 24 SnapLogic reviews

2,461 Views
1,692 Comparison Views

87% willing to recommend

IBM Cloud Pak for Data

Comparison Buyer's Guide

Download the report

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: April 2025).

IBM Cloud Pak for Data vs. SnapLogic

April 2025

Download the complete report

Helped 847,862 peers since 2012

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)

SnapLogic

Ranking in Data Integration

21st

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Process Automation (15th), Cloud Data Integration (12th), Integration Platform as a Service (iPaaS) (10th)

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 SnapLogic is 1.5%, up from 1.5% 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.

Read full review

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.

Read full review

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 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."

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

"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."

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

"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."

"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."

More IBM Cloud Pak for Data pros

"The feature I found most valuable in SnapLogic is low-code development. Low-code development has been very useful for simple processes, which is required for business users such as extracting details from a file or getting things reported by calling your web service. Calling your web service also becomes easier with SnapLogic because of the snaps available, so if you have the documentation, you can call an API. You don't have to write all those clients to call an API, so that is another feature I found very easy in SnapLogic. Configuring and managing all the file systems also become very handy with the solution."

"SnapLogic is an IPA tool that leverages a low code environment to connect to multiple sources, extract data, and store it in Azure data lake."

"The vendor handles the maintenance of the solution"

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

"SnapLogic is more user-friendly than Boomi in terms of debugging. You can move the mouse to a place, and it will record and show the data easily."

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

"They are very good at building out new aspects according to customer requirements."

"SnapLogice is a low-code development tool."

More SnapLogic pros

Cons

"The solution could have more connectors."

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

"The technical support could be a little better."

"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 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."

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

More IBM Cloud Pak for Data cons

"While it performs well, there is some room for improvement in this area."

"They should expand in terms of features for SaaS-based market requirements in different sectors."

"SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps."

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

"If the AI capabilities and integrations were more intuitive and easy for new users to learn, it would be greatly beneficial."

"One area for improvement in SnapLogic is the transparency in the flow of data. It needs to have more transparency. Right now, users only have a preview option at the end of any job flow, so at the end of any Snap Pack, there is a data preview option that lets you review the data and see how it's moving. What would make the solution better is more debugging and more access to change data from the preview panel or more functionality in terms of the preview option."

"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."

"The dashboards regarding scheduled tasks need further improvement."

More SnapLogic cons

Pricing and Cost Advice

"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."

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

"The solution is expensive."

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

"It's quite expensive."

"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."

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

"When comparing it with solutions like Apigee or MuleSoft, it still offers better value."

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

"The license model is based on consumption."

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

"It is a higher initial cost than other easy-to-use integration apps."

"The pricing is okay."

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

More SnapLogic pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

847,862 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

10%

Government

Financial Services Firm

25%

Manufacturing Company

10%

Computer Software Company

Real Estate/Law Firm

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 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?

I am quite happy with the solution and do not have specific requirements at the moment. I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive...

What is your primary use case for SnapLogic?

I mainly use it for data integration and some API tasks.

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Comparisons

Compared 40% 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 8% of the time

More IBM Cloud Pak for Data Competitors

AWS Glue vs SnapLogic

Compared 16% of the time

IBM InfoSphere DataStage vs SnapLogic

Compared 8% of the time

Alteryx Designer vs SnapLogic

Compared 6% of the time

Azure Data Factory vs SnapLogic

Compared 6% of the time

MuleSoft Anypoint Platform vs SnapLogic

Compared 5% of the time

More SnapLogic Competitors

Product Reports

Download IBM Cloud Pak for Data product report

IBM Cloud Pak for Data

April 2025

Download SnapLogic product report

March 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!