

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.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Customer support should be more responsive and reach and respond on time.
IBM support is very supportive, and I would rate them an eight out of ten based on our long relationship with them.
The technical support from TIBCO BusinessWorks is very good.
Customer service is very helpful.
I rate TIBCO technical support as fantastic on a scale of one to ten.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
It is not like AWS where I can add memory or more servers.
TIBCO BusinessWorks is quite stable and scales very well, so we are happy.
It is stable, however, every now and then, it just ends.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
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.
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
AI-driven features in TIBCO BusinessWorks would be beneficial, so that our business tech BA can do the development rather than needing programmers.
Performance and latency could be enhanced.
The learning curve takes time compared to webMethods.
The setup cost is very expensive.
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
Because we have enterprise licenses, the pricing for TIBCO BusinessWorks is quite reasonable for us, so we do not see any issue.
The current licensing cost for the product involves our resource sourcing team for negotiations.
Pricing is for an enterprise application, so the company pays for it with a company license.
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
It's a great software application for the middleware use cases to connect the front channels to the back ends in a secure and safer way.
When I have an architecture designed to plug in the service itself with BW, it makes things much easier.
TIBCO BusinessWorks' real-time data exchange capability has benefited our customers greatly; we conduct a lot of messaging with Superstream and external partners, so it works well for us.
| Product | Market Share (%) |
|---|---|
| TIBCO BusinessWorks | 1.0% |
| IBM Cloud Pak for Data | 1.3% |
| Other | 97.7% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 3 |
| Large Enterprise | 24 |
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.
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