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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
6.0
Denodo boosts efficiency with reduced data interface time, improved KPIs, lower churn, and enhanced satisfaction within six months.
Sentiment score
6.9
IBM Cloud Pak for Data helps large enterprises improve data quality, boosting AI processes and enhancing decision-making productivity.
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
 

Customer Service

Sentiment score
6.9
Denodo support excels in responsiveness and expertise, though some face delays; comprehensive documentation aids user implementation.
Sentiment score
7.4
IBM Cloud Pak for Data's support is responsive and available 24/7, despite some delays due to system complexity.
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
I would rate IBM's support at about a seven or eight out of ten because we have good support coverage owing to our long association with IBM.
EDW Manager at a university with 1,001-5,000 employees
Customer support should be more responsive and reach and respond on time.
Senior Data Analyst at Wipro
 

Scalability Issues

Sentiment score
7.1
Denodo supports enterprise scaling with reliable cloud use, despite manual scaling challenges; highly rated for integration and load balancing.
Sentiment score
7.5
IBM Cloud Pak for Data is praised for impressive scalability and compatibility, despite being resource-intensive, with ratings mostly 8-10.
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
While the solution scales well on a single machine, I have doubts about its scalability when deployed as part of a Java component cluster.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
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
 

Stability Issues

Sentiment score
7.1
Denodo is praised for stability and performance, with minor issues quickly resolved and excellent production reliability.
Sentiment score
7.7
IBM Cloud Pak for Data is generally stable and well-rated, with users emphasizing scalability despite minor tool integration concerns.
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
 

Room For Improvement

Users seek improvements in Denodo's data catalog, integration, performance, security, scalability, documentation, and support resources.
IBM Cloud Pak for Data needs better integration, support, features, and pricing to attract small businesses and simplify adoption.
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
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.
Data asset management engineer at a tech services company with 1-10 employees
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.
EDW Manager at a university with 1,001-5,000 employees
 

Setup Cost

Denodo's pricing is costly yet fair, complex, suitable for larger enterprises, with potential discounts and educational trials available.
IBM Cloud Pak for Data's high pricing and complexity make it more suitable for large enterprises than smaller companies.
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
 

Valuable Features

Denodo offers exceptional data virtualization, rapid access, strong security, efficient integration, and user-friendly features for seamless data management.
IBM Cloud Pak for Data excels with data virtualization, low-code navigation, robust security, and efficient data integration and collaboration.
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
 

Categories and Ranking

Denodo
Ranking in Data Integration
8th
Ranking in Data Virtualization
1st
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
40
Ranking in other categories
Cloud Data Integration (5th), Data Management Platforms (DMP) (3rd), AI Data Analysis (4th)
IBM Cloud Pak for Data
Ranking in Data Integration
23rd
Ranking in Data Virtualization
3rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
15
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Data Virtualization category, the mindshare of Denodo is 21.9%, down from 41.0% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 12.8%, down from 17.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Virtualization Market Share Distribution
ProductMarket Share (%)
Denodo21.9%
IBM Cloud Pak for Data12.8%
Other65.3%
Data Virtualization
 

Featured Reviews

Douglas Camargo - PeerSpot reviewer
Senior Backend Engineer at a pharma/biotech company with 51-200 employees
Has simplified multi-database querying and accelerated solution delivery with minimal setup
Denodo offers a great query language, the VQL, which was very easy to understand for someone that only knows SQL. It was easy to work with, and it was easy to integrate various types of databases in general. The usability of the platform is very great. The federated queries were also a feature that I used a lot. The easy usability of Denodo helped my work and made things easier for productivity. We were able to ship code faster than if we needed to use another type of data visualization tool or even an ETL. When we have multiple databases, the standard or common approach is just to have an ETL that matches the data, and we need to write this whole ETL. With Denodo, we can simplify this whole work to a few queries or setups in the databases and just make a few queries. This was actually easier, and it was faster to deliver a solution for a client instead of building a whole ETL pipeline or simply backfilling one database in another. Denodo simplifies your work and helps you ship code or ship solutions in a faster way. I really like the UI that Denodo has on the web app version. It was very simple and actually very beautiful to see. For a complicated program, it was very easy to understand how it works, even for someone who is just approaching the data engineering career or side of the programming language.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Manufacturing Company
12%
Computer Software Company
7%
Government
7%
Financial Services Firm
27%
Manufacturing Company
10%
Computer Software Company
8%
Government
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise6
Large Enterprise20
By reviewers
Company SizeCount
Small Business7
Large Enterprise12
 

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?
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.
 

Also Known As

No data available
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: December 2025.
881,114 professionals have used our research since 2012.