IBM Cloud Pak for Data vs Workato comparison

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IBM Cloud Pak for Data

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Executive Summary

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

Find out in this report how the two Data Virtualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Cloud Pak for Data vs. Workato Report (Updated: May 2023).

IBM Cloud Pak for Data vs. Workato

May 2023

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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

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (25th), Data Virtualization (3rd)

Workato

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Integration Platform as a Service (iPaaS) (7th)

Mindshare comparison

IBM Cloud Pak for Data and Workato aren’t in the same category and serve different purposes. IBM Cloud Pak for Data is designed for Data Virtualization and holds a mindshare of 19.3%, up 14.9% compared to last year.
Workato, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 4.3% mindshare, up 4.2% since last year.

Data Virtualization

Integration Platform as a Service (iPaaS)

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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Rohit Sircar

Integration Solutions Lead | Digital Core Transformation Service Line at Hexaware Technologies Limited

Great automation and strong workflows useful for integration

The initial setup is quite straightforward. When connecting Workato with your on-premises system, you have to install the Workato agent on your network. It was not complex but a long process to configure and settle. Workato has not gone live for us yet, so only the developers are currently using it. But in terms of users, we will have close to 250 and maybe 30 additional direct users. We are seeing a lot of different use cases where we can add new recipes because we started small, and there are many different areas where we can implement Workato for automation.

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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

"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."

"DataStage allows me to connect to different data sources."

"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."

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

"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."

More IBM Cloud Pak for Data pros

"Stability-wise, I rate the solution a ten out of ten."

"It is easier to use than other technical open-source technologies."

"Workato is less expensive and offers similar integration capabilities."

"The most valuable features are easy integration, quick tab to develop, quick tab to market, and interactive integration platform."

"The features of Workato are very user-friendly."

"Workato allows us to streamline our operations by replacing multiple legacy systems with a single integrated platform."

"I definitely recommend Workato to others; it is the best product in our technology stack, allowing us to integrate legacy systems and address diverse requirements."

"It is very easy to use. It takes complex workloads away, and it provides very smooth integration. It has got a lot of out-of-the-box connectors. It has got a lot of out-of-the-box APIs, which makes it really easy to integrate with applications for different use cases, whether it is in finance, HR, or customer operations. It is by far our favorite integration product."

More Workato pros

Cons

"The technical support could be a little better."

"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."

"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."

"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."

"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."

"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."

"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

"It is tedious to make a tailor-fit function."

"Integrating on-prem applications is challenging, even though they have an on-prem agent."

"The management dashboard in the solution is an area with shortcomings that needs improvement."

"The Electronic Data Interchange (EDI) capabilities could be improved."

"The data flow and debugging processes need improvement, especially for tracing issues."

"From a technical standpoint, the security features at the data orchestration level could be more organized, and improvements in certificate management are necessary."

"I would like to see the dashboarding and reporting processes improved."

"The data flow and debugging processes need improvement, especially for tracing issues. Additionally, Workato struggles with scalability when handling high volumes of data, such as terabytes, requiring chunking for initial data loads."

More Workato cons

Pricing and Cost Advice

"The solution is 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."

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

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

"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."

"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."

"On a scale of one to ten, the pricing is around a six. We have a consumption model and the pricing is higher. If you are using any kind of ML-based approach, machine learning, or some advanced analytics, you may have to pay more."

"Workato is an expensive solution."

"Speaking about price, I would say that it's market-related. Also, there are costs in addition to the standard license fees since different add-ons depend on what you require."

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

11%

Manufacturing Company

10%

Government

Educational Organization

32%

Financial Services Firm

10%

Computer Software Company

Manufacturing Company

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 Workato?

Workato is low code, intuitive, and easy to use.

What needs improvement with Workato?

One area for improvement is the CI/CD pipeline, which lacks a version control system similar to GitHub ( /products/github-reviews ) for easier deployment. Though it has a recipe life cycle manageme...

What is your primary use case for Workato?

I am using Workato ( /products/workato-reviews ) for integrating and automating solutions for finance, HR, and IT. Specific use cases include onboarding and offboarding for HR, handling invoices fo...

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Product Reports

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IBM Cloud Pak for Data

April 2025

Download Workato product report

April 2025

Also Known As

Cloud Pak for Data

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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

Named a Leader in iPaaS for Dynamic Integrations by Forrester, Workato is a modern automation and integration platform. With its enterprise-grade capabilities, you can seamlessly integrate and orchestrate workflow automation across cloud and on-premise applications, files and databases without coding.

The Workato team comes from a deep background in building integration products and will continue to expand and change the automation and integration space.

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Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Panera Bread, Berkshire Hathaway, Salesforce, Box, Splunk, ComScore, IBM, Complex Media, Microsoft, Home Depot, Cisco, News Corp, Braille Institute