IBM Cloud Pak for Data vs TIBCO BusinessWorks comparison

IBM and TIBCO are both solutions in the Data Integration category. IBM is ranked #24 with an average rating of 7.7, while TIBCO is ranked #17 with an average rating of 8.4. IBM holds a 2.0% mindshare in DI, compared to TIBCO’s 1.1% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 90% of TIBCO users who would recommend it.

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,349 Views
2,208 Comparison Views

86% willing to recommend

TIBCO BusinessWorks

Read 28 TIBCO BusinessWorks reviews

3,269 Views
1,667 Comparison Views

90% willing to recommend

IBM Cloud Pak for Data

TIBCO BusinessWorks

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

TIBCO BusinessWorks and IBM Cloud Pak for Data are both competitive in the enterprise integration and analytics sector. IBM Cloud Pak for Data appears to have the upper hand due to its powerful data governance and AI capabilities.

Features: TIBCO BusinessWorks offers excellent transformation capabilities, easy integration with legacy systems, and provides high availability and effective load balancing. IBM Cloud Pak for Data stands out with its advanced AI capabilities, integration features through Watson services, and powerful data governance tools.

Room for Improvement: TIBCO BusinessWorks needs better cloud integration, simplified licensing, and improvements in memory usage. IBM Cloud Pak for Data requires enhanced performance, better connectors, and streamlined deployment processes.

Ease of Deployment and Customer Service: TIBCO BusinessWorks primarily deploys on-premises and receives mixed reviews for its technical support. IBM Cloud Pak for Data is flexible with hybrid and public cloud options and generally receives positive support ratings, although fast issue resolution needs improvement.

Pricing and ROI: TIBCO BusinessWorks is considered expensive, suited for large enterprises with notable ROI over time. IBM Cloud Pak for Data has a competitive pricing structure, leaning towards higher costs, but offers more flexibility than alternatives like Informatica, providing significant ROI and value for large organizations.

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

Buyer's Guide

IBM Cloud Pak for Data vs. TIBCO BusinessWorks

July 2025

Download the complete report

Helped 865,384 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

24th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

TIBCO BusinessWorks

Ranking in Data Integration

17th

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 2.0%, up from 1.7% compared to the previous year. The mindshare of TIBCO BusinessWorks is 1.1%, up from 0.8% 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

Moustafa Fares

Senior Analyst at Etisalat

Connects systems securely, simplifies data communication, and benefits from AI integration potential

I would like to see an AI project with BusinessWorks. I haven't worked with cloud architecture using BusinessWorks, so I would like to work with it as a cloud architect. I am still learning the documentation, so I don't have a complete experience with TIBCO. The learning curve takes time compared to webMethods.

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

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

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

"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."

"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."

"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."

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

"Its data preparation capabilities are highly valuable."

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

More IBM Cloud Pak for Data pros

"The Business Studio interface based on SCA Standards helps to show the business logic at first look and improve code maintenance."

"Drag and drop make it easier to build the service end to end."

"One of the most valuable features is data transformation. We have some legacy systems which are in old technology, like SOAP, whereas the new ones are in REST. So we use BusinessWorks to transform data from one format to another, from SOAP to REST."

"It is a very robust system."

"Areas for improvement would be the cloud fitness of the product and the ease of migrating to newer versions."

"XML to JSON transformations, out-of-the-box, helps to build REST services."

"The ability to link to different technologies is valuable to us."

More TIBCO BusinessWorks pros

Cons

"The solution could have more connectors."

"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 technical support could be a little better."

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

"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 product must improve its performance."

"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."

More IBM Cloud Pak for Data cons

"The cost of the solution has room for improvement."

"The solution’s customer support should be improved."

"Could be more user friendly in the development area."

"I would like the solution to be integrated into the cloud."

"The container-based image is too large and this makes auto-scaling difficult."

"There is room for improvement on the learning side."

"TIBCO BusinessWorks could be improved with cloud support."

"The cost has room for improvement."

More TIBCO BusinessWorks 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."

"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."

"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."

"The cost depends on the components required."

"My understanding is that the licensing is very costly."

"I think BusinessWorks is more expensive compared to other products. We have the ELA, so at least we have some sort of bargain or discount with that. But for a start-up, it's very expensive compared to other ESBs."

"TIBCO BusinessWorks is a very expensive solution."

"The solution is too expensive. It's one of the most expensive solutions out there, particularly because there are so many open-source competitors on the market. I don't know the exact numbers, however."

"It is a bit expensive for medium-sized companies. If you are migrating from the current version to the container-supported version, it is quite expensive. The existing licensing will not work because the product platform itself is different."

"The license is expensive, and I would rate it one out of ten."

"TIBCO licensing is yearly and very costly for a company like ours."

More TIBCO BusinessWorks 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

865,384 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

30%

Manufacturing Company

11%

Computer Software Company

Government

Financial Services Firm

22%

Computer Software Company

Retailer

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.

See all answers

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

How does TIBCO BusinessWorks compare with Mule Anypoint Platform?

Our organization ran comparison tests to determine whether TIBCO BusinessWorks or Mule Anypoint platform integration and connectivity software was the better fit for us. We decided to go with Mule...

See all answers

What do you like most about TIBCO BusinessWorks?

The ability to link to different technologies is valuable to us.

See all answers

What is your experience regarding pricing and costs for TIBCO BusinessWorks?

Pricing is for an enterprise application, so the company pays for it with a company license. Everything comes packaged with the license.

See all answers

Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 40% of the time

Denodo vs IBM Cloud Pak for Data

Compared 12% of the time

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

Compared 10% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 9% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 8% of the time

More IBM Cloud Pak for Data Competitors

Spring Cloud Data Flow vs TIBCO BusinessWorks

Compared 20% of the time

IBM App Connect vs TIBCO BusinessWorks

Compared 13% of the time

Talend Open Studio vs TIBCO BusinessWorks

Compared 11% of the time

SSIS vs TIBCO BusinessWorks

Compared 10% of the time

Adeptia Connect vs TIBCO BusinessWorks

Compared 9% of the time

More TIBCO BusinessWorks Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

August 2025

Download IBM Cloud Pak for Data product report

Buyer's Guide

TIBCO BusinessWorks

July 2025

Download TIBCO BusinessWorks product report

Also Known As

Cloud Pak for Data

No data available

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

TIBCO BusinessWorks allows to connect applications, whether on-premises or in the cloud, providing proven reliability and scalability, out-of-the-box. With a drag-and-drop graphical development environment, TIBCO BusinessWorks eliminates the pain and cost of point-to-point application integration, connecting and unifying business processes across applications, data sources, and APIs, with access to real-time data across all your platforms.

TIBCO

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Euler Hermes, QSuper, Scandinavian Airlines

Buyer's Guide

IBM Cloud Pak for Data vs. TIBCO BusinessWorks

July 2025

Free Report: IBM Cloud Pak for Data vs. TIBCO BusinessWorks

Find out what your peers are saying about IBM Cloud Pak for Data vs. TIBCO BusinessWorks and other solutions. Updated: July 2025.

DOWNLOAD NOW

865,384 professionals have used our research since 2012.

See our IBM Cloud Pak for Data vs. TIBCO BusinessWorks report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.