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Denodo vs IBM Cloud Pak for Data comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 14, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.5
Denodo boosts ROI by enabling rapid reporting, improving decision-making, and streamlining data integration for enhanced efficiency and customer satisfaction.
Sentiment score
5.5
IBM Cloud Pak for Data benefits larger companies by enhancing AI, saving time, reducing costs, and improving data-driven decisions.
It provides a positive return on investment for those who can connect multiple data sources and make data-driven decisions easily.
Information Technology Manager at Lockheed Martin
If you don't need to write a whole ETL to make the data virtualization, you need way fewer people to write a query instead of writing an ETL pipeline.
Senior Backend Engineer at a pharma/biotech company with 51-200 employees
I have seen a return on investment, which showed up in improved customer satisfaction scores.
Vice President at a financial services firm with 10,001+ employees
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Senior Data Analyst at Wipro Limited
It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.
Engineer at Turner Construction
 

Customer Service

Sentiment score
6.9
Denodo support is responsive and helpful, but some users face delays in bug resolution and unfriendliness in the portal.
Sentiment score
7.1
IBM Cloud Pak for Data support is effective, rated positively by users, though some desire faster initial responses and localization.
They have a good methodology for learning how to use the tool.
Data Architecture and Engineering Specialist at coprocenva
Denodo's customer support team is very competent and responsive.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
If we raise a ticket, it can be resolved or addressed within a reasonable time frame, so support is good.
Principal Architect at a manufacturing company with 10,001+ employees
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Data asset management engineer at a tech services company with 1-10 employees
The customer support for IBM Cloud Pak for Data is great and responsive.
Engineer at Turner Construction
The response time for IBM's technical support is excellent.
Sales Director at Jordan Business Systems
 

Scalability Issues

Sentiment score
7.1
Denodo effectively scales across organizations, managing many users and data sources, but performance may vary with automation and configuration.
Sentiment score
6.6
IBM Cloud Pak for Data impresses users with its scalable infrastructure, efficiently handling large data and maintaining performance without downtime.
For huge data requests, it cannot scale automatically; admin action is required.
Principal Architect at a manufacturing company with 10,001+ employees
Denodo's scalability comes into play specifically when there is data transfer.
Vice President at a financial services firm with 10,001+ employees
My client has almost 100 million records, and the performance was impacted in a way that required optimization.
Data Consultant at IT-Bots
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data's scalability is very good; it can be used by any size of organization.
Engineer at Turner Construction
 

Stability Issues

Sentiment score
7.0
Denodo is stable and reliable in production, with minor issues, praised for robustness but needs technical expertise for optimization.
Sentiment score
7.8
IBM Cloud Pak for Data is stable with good performance, though opinions vary on consistency due to its complexity.
I would rate it nine out of ten because it is very reliable, always performing as expected.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
If JVM does not function properly, it may cause Denodo to fail to connect to different sources.
Technology Leader at eTCaaS
Denodo is stable and good.
Data Engineer at a consultancy with 11-50 employees
The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.
Sales Director at Jordan Business Systems
 

Room For Improvement

Denodo should expand markets, improve UI and integration, address performance issues, and enhance support and documentation.
IBM Cloud Pak for Data struggles with infrastructure demands, deployment size, integration, and requires technical support and simplified experiences.
Ensuring data caching is up to date is critical.
Director Software Engineer at a computer software company with 10,001+ employees
Denodo needs better communication on how the product can be deployed for specific solutions.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
The system has dependencies on other environments, like JVM, which can affect its performance.
Technology Leader at eTCaaS
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.
Engineer at Turner Construction
To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration.
Senior Project Manager at EY
 

Setup Cost

Denodo pricing is high, suitable for larger enterprises, with variable costs and value-enhancing features, seen as fair by many.
IBM Cloud Pak for Data is costly for small businesses but affordable and competitive for large enterprises with negotiable pricing.
For small companies, it's not a solution that most small companies can afford.
Senior Backend Engineer at a pharma/biotech company with 51-200 employees
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
Denodo's pricing is not affordable for small companies and is more suitable for medium to large enterprises.
Technology Leader at eTCaaS
The setup cost is very expensive.
Data asset management engineer at a tech services company with 1-10 employees
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.
Senior Data Analyst at Wipro Limited
The list price is high, but the flexibility in pricing is adequate.
Solution Manager at Intalion
 

Valuable Features

Denodo excels in data integration, virtualization, governance, and scalability, enhancing user experience with API and query optimizations.
IBM Cloud Pak for Data offers robust governance, integration, AI lifecycle, and cloud flexibility with praised data management features.
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
Director Software Engineer at a computer software company with 10,001+ employees
The most valuable feature of Denodo is its uniformity of self-site data access types, which allows it to connect to almost any storage technology and feed it transparently.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
Denodo supports SQL base, so if you want to join two tables or two views, you can use SQL, which is an advantage as most developers or business people know SQL.
Principal Architect at a manufacturing company with 10,001+ employees
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.
Data asset management engineer at a tech services company with 1-10 employees
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.
EDW Manager at a university with 1,001-5,000 employees
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.
Senior Data Analyst at Wipro Limited
 

Categories and Ranking

Denodo
Ranking in Data Integration
6th
Ranking in Data Virtualization
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
42
Ranking in other categories
Cloud Data Integration (7th), Data Management Platforms (DMP) (4th), AI Data Analysis (2nd)
IBM Cloud Pak for Data
Ranking in Data Integration
19th
Ranking in Data Virtualization
3rd
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Data Virtualization category, the mindshare of Denodo is 22.1%, down from 40.9% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 11.3%, down from 19.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Virtualization Mindshare Distribution
ProductMindshare (%)
Denodo22.1%
IBM Cloud Pak for Data11.3%
Other66.6%
Data Virtualization
 

Featured Reviews

Patel-Dhulva - PeerSpot reviewer
Information Technology Manager at Lockheed Martin
Data virtualization has unified siloed sources and now supports real-time decisions
The best features Denodo offers stand out to me as the ability to develop REST web services fast and easily, create and combine new views, integrate different sources of data, and connect with other tools seamlessly. When I mention fast and easy creation of views and integration, I love the agile data provisioning and integration, where Denodo provides a comprehensive set of capabilities for implementing logical data integration, management, and delivery, which in turn enables agile data analytics and an informed decision-making process to be smooth. I also appreciate the performance optimization with AI, which improves performance optimization through the integration of artificial intelligence capabilities. Furthermore, I appreciate the unified security and governance, where it addresses the need for an organization to effectively manage security, data privacy, and data protection easily, offering a centralized platform that allows the application of governance policies and fine-grained security controls. Another feature I would add about Denodo is that it also provides a single point of control where we can establish security controls over the entire infrastructure and gain visibility into all our data assets. Denodo has positively impacted my organization as since we started using this tool, it has been very helpful because it is a huge advantage that we can connect to many different databases to provide data rapidly and accurately and also gain insights, which helps us to make data-driven decisions easily. It has proven to be a valuable environment for deploying data virtualization solutions, and its user community is active in finding and fixing issues more accurately. Through data insights from Denodo, we have been able to improve our decision making, which helps to better communication between the stakeholders thanks to the real-time experience. It also saves a lot of time.
ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro Limited
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Manufacturing Company
11%
Government
7%
Energy/Utilities Company
6%
Financial Services Firm
21%
Manufacturing Company
10%
Computer Software Company
7%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise6
Large Enterprise21
By reviewers
Company SizeCount
Small Business9
Large Enterprise15
 

Questions from the Community

Does Denodo provide useful data virtualization education? Is it useful to attend their training?
If you are a Denodo user, it makes sense to undergo their training. Different types of professionals can benefit from it, including administrators, developers, and architects. If you are keen on i...
In experience, what might Denodo be lacking or need improvement on?
I like Denodo a lot. It offers quick and easy web service deployment within minutes. There are not any flaws that I think make the product less good or effective. The only thing I can point out is...
Which industries can benefit from Denodo the most?
Denodo is suitable for pretty much all sectors that deal with: Big data Cloud solutions Data governance Logical data fabric Master data management In my opinion, organizations in different fields...
What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
Regarding the price, I know IBM is traditionally relatively expensive in the Hungarian market, but we work together with the local IBM sales team, and on a project basis they manage to negotiate th...
What needs improvement with IBM Cloud Pak for Data?
I see room for improvement in IBM Cloud Pak for Data, as it lacked the lake house. However, IBM issued the new product which is Watsonx.data. This is a new product for IBM and it provides all the m...
What is your primary use case for IBM Cloud Pak for Data?
I believe IBM Cloud Pak for Data is suitable for mid-size to bigger companies. It is not tailored for smaller customers. My customers use IBM DataStage for ETL processes. One client has implemented...
 

Also Known As

Denodo for AWS
Cloud Pak for Data
 

Overview

 

Sample Customers

Autodesk, VHA, AAA, Sumitomo Mitsui Trust Bank, Caterpillar, European Chemical Agency, Seagate, Nationwide, Time Warner Cable, Pantex, Inditex, BNSF Railways, Vodafone, CIT Group, Jazztel, Wolters Kluwer, Telefonica, TransAlta
Qatar Development Bank, GuideWell, Skanderborg Music Festival
Find out what your peers are saying about Denodo vs. IBM Cloud Pak for Data and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.