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IBM Cloud Pak for Data vs Unifi comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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
23rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
15
Ranking in other categories
Data Virtualization (3rd)
Unifi
Ranking in Data Integration
57th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
2
Ranking in other categories
Data Governance (40th), Data Preparation Tools (7th)
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.3%, down from 1.6% compared to the previous year. The mindshare of Unifi is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
IBM Cloud Pak for Data1.3%
Unifi0.7%
Other98.0%
Data Integration
 

Featured Reviews

ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. 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. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.
Doug Isabelle - PeerSpot reviewer
Owner at Doc-IT
Good management and pricing but not great for enterprise environments
In a high-density location, we're running into connectivity drops. There may be too many rouge devices broadcasting, and the devices is getting interference from another channel. The only to fix this is to reboot and we need something that reboots on the fly. We also need better security for VLANs and VPNs. There are issues with certain Apple devices. Technical support is not very helpful. The initial setup, which seemed straightforward at first, had to be redone. This may not have been the fault of the product. We're not sure what went wrong.

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."
"IBM Cognos is very stable and has been around for many years, with many users familiar with it, making it a reliable solution for our institution."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"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."
"IBM Watson Catalog and data pipelines are the most valuable features of the solution."
"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."
"It's easy to manage and support the user, our guests, and our customers if they have a problem."
"The controller makes it easy to control everything from one platform. The management is easy."
 

Cons

"The product must improve its performance."
"The technical support could be a little better."
"The solution's catalog searching or map search needs to be improved."
"The setup for IBM Cloud Pak for Data is very complex, and our teams responsible for standing up the environment struggled a lot."
"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 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 product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"It's stable, but it depends on the office and location."
"There are issues with certain Apple devices."
 

Pricing and Cost Advice

"Cloud Pak's cost is a little high."
"The solution is 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."
"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."
"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."
"There is no license. The solution is free."
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Manufacturing Company
10%
Computer Software Company
8%
Government
4%
Retailer
12%
Comms Service Provider
10%
Financial Services Firm
10%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Large Enterprise12
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
The pricing and setup cost are handled by a different procurement team. Our IT procurement team is centralized, so licensing and the actual cost of the software are taken care of by a different tea...
What needs improvement with IBM Cloud Pak for Data?
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.
What is your primary use case for IBM Cloud Pak for Data?
The main use case for IBM Cognos is for business intelligence and reporting.
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Also Known As

Cloud Pak for Data
No data available
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
Big Incites, Cloudera, Flywheel Data, Hortonworks, MapR, Platfora, Qlik, Tableau Software, zData Inc.
Find out what your peers are saying about IBM Cloud Pak for Data vs. Unifi and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.