Denodo vs IBM Cloud Pak for Data comparison

Denodo and IBM are both solutions in the Data Virtualization category. Denodo is ranked #1 with an average rating of 8.8, while IBM is ranked #3 with an average rating of 8.0. Denodo holds a 40.8% mindshare in DV, compared to IBM’s 19.8% mindshare. Additionally, 94% of Denodo users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Denodo

Read 36 Denodo reviews

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340 Comparison Views

94% willing to recommend

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

265 Views
145 Comparison Views

86% willing to recommend

Denodo

IBM Cloud Pak for Data

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Executive SummaryUpdated on Aug 14, 2024

Denodo and IBM Cloud Pak for Data are two prominent data integration platforms. Denodo generally receives more favorable feedback on its ease of deployment and customer service. IBM Cloud Pak for Data is often highlighted for its comprehensive set of features, making it a preferable choice for many users.

Features: Denodo is highly rated for its data virtualization capabilities, allowing seamless integration of distributed data. IBM Cloud Pak for Data offers a broader suite of tools, including AI and machine learning integrations, which users find valuable. Denodo excels in data connectivity, but IBM's extensive features provide an edge in overall functionality.

Room for Improvement: Users suggest that Denodo could enhance its performance at scale and improve its data cataloging features. IBM Cloud Pak for Data users point out that the platform could benefit from more intuitive administrative tools and better integration with non-IBM systems. Denodo could also work on providing better templating options, while IBM users mention the need for a smoother upgrade process.

Ease of Deployment and Customer Service: Denodo is praised for its straightforward deployment process and responsive customer service. IBM Cloud Pak for Data is also recognized for strong customer support but has a more complex deployment process due to its comprehensive feature set.

Pricing and ROI: Denodo is often seen as offering better initial setup costs and quicker ROI due to its streamlined deployment. IBM Cloud Pak for Data, while perceived as more expensive, justifies the cost with its extensive functionalities and longer-term ROI. Users find Denodo cost-effective in the short term, whereas IBM is considered worthwhile for its long-term benefits.

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

Buyer's Guide

Denodo vs. IBM Cloud Pak for Data

June 2025

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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

Denodo

Ranking in Data Integration

13th

Ranking in Data Virtualization

1st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Integration (10th)

IBM Cloud Pak for Data

Ranking in Data Integration

24th

Ranking in Data Virtualization

3rd

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Data Virtualization category, the mindshare of Denodo is 40.8%, up from 40.1% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 19.8%, up from 15.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Virtualization

Featured Reviews

Snehasish Das

Technology Leader at eTCaaS

Enable efficient AI and ML development through a unified virtual data environment

The most valuable feature in Denodo is data virtualization. This feature focuses on creating a virtualized data environment that allows for simpler connections between data sources and systems. It significantly eases the process of developing AI and ML strategies by centralizing access to various data sources and allowing algorithms to efficiently connect to and utilize data.

Read full review

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

Quotes from Members

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

Pros

"Denodo's best features are its performance, easy data transformation, and the job scheduler."

"The most valuable feature is Data Catalogs."

"The data catalog feature is valuable as it helps define data structures without storing data."

"It provides useful APIs and integrates with other systems."

"Denodo's capabilities offer a strong and intuitive solution for data access."

"Denodo is lightweight in terms of how it leads you to combine your discrete data systems at one spot."

"While we may not be using all the features of Denodo at this time, we have found the data virtualization features to be very useful in helping us connect our data sources together, bringing all our data into one platform."

"Overall, I would rate Denodo a nine out of ten."

More Denodo pros

"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."

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

"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."

"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."

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

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

"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."

More IBM Cloud Pak for Data pros

Cons

"Denodo shows stability concerns due to its dependency on external environments, such as JVM."

"While AI and ML integration is present, understanding its implementation better could be beneficial."

"The support is not the best and should be improved."

"The solution should have its own acceleration technology."

"I would like to see a proper way to avoid killing the sourcing systems."

"There have been some issues when you are at a table. Currently, Denodo exports data sets for a tabular model. When you are finished modeling your database or data warehouse they export a link to be used in Tableau. They should support other tools like Power BI."

"Documentation needs to be improved"

"We can't scale it to meet digital requirements."

More Denodo cons

"The solution's catalog searching or map search needs to be improved."

"The technical support could be a little better."

"The solution's user experience is an area that has room for improvement."

"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 product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."

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

"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 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

Pricing and Cost Advice

"Depending on the size of the client you want to work with, it can be prohibitively expensive at times."

"Talking with my manager and others, nobody has complained about the pricing so far which is a positive sign."

"For us, the cost has been okay. Also, there are no additional costs; it's just the standard licensing fee."

"The licensing charges for this solution are payable annually."

"The pricing is pretty good, and I would rate it at four out of five."

"I don't know the actual cost, but it's tens of thousands of dollars per month."

"I am not super familiar with the pricing, but so far, it seems good. We have been happy. We haven't seen any problems. The only time we had to pay extra was during the upgrade. We didn't upgrade at the time they told us to upgrade, and we had to pay extra to keep the service. They had stopped the support for the older version and moved to the newer version. It was not their fault. It was our fault because we didn't get on board quickly."

"There is an express edition and a licensed enterprise edition."

More Denodo pricing and cost advice

"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."

"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."

"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 think that this product is too expensive for smaller companies."

"It's quite expensive."

"The solution is expensive."

"The solution's pricing is competitive with that of other vendors."

"Cloud Pak's cost is a little high."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

10%

Manufacturing Company

Government

Financial Services Firm

30%

Manufacturing Company

10%

Computer Software Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

See all answers

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...

See all answers

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...

See all answers

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

Comparisons

Azure Data Factory vs Denodo

Compared 11% of the time

MuleSoft Anypoint Platform vs Denodo

Compared 8% of the time

Perforce Delphix vs Denodo

Compared 7% of the time

Informatica PowerCenter vs Denodo

Compared 6% of the time

AWS Glue vs Denodo

Compared 5% of the time

More Denodo Competitors

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 41% of the time

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

Compared 15% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 10% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 9% of the time

Informatica PowerCenter vs IBM Cloud Pak for Data

Compared 5% of the time

More IBM Cloud Pak for Data Competitors

Product Reports

Buyer's Guide

Denodo

June 2025

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Buyer's Guide

IBM Cloud Pak for Data

June 2025

Download IBM Cloud Pak for Data product report

Also Known As

No data available

Cloud Pak for Data

Overview

Denodo is a leading data integration, management, and delivery platform that uses a logical approach to enable data science, hybrid and multi-cloud data integration, self-service BI, and enterprise data services. Organizations of different sizes across various industries utilize the product to get above the data silos. The solution offers organizations the freedom to migrate data to the cloud, or logically unify data warehouses and data lakes, without affecting business. This can ultimately result in the evolution of data strategies.

The platform accelerates data provisioning through reduced data replication, provides business users the freedom to select their preferred applications, and enables consistent security and governance across multiple systems. The solution offers one of the leading logical data fabric solutions by initiating data virtualization and eliminating the complexity and exposing the data in business-friendly formats.

Denodo also offers modern data integration and management for hybrid and multi-cloud environments for Denodo Platform for Cloud. This service can be purchased through the bring-your-own-license (BYOL) option. Users seeking faster deployment can license the product to popular cloud providers, including Amazon AWS, Google Cloud Platform, and Microsoft Azure. The solution integrates, manages, and delivers data in complex environments with high performance, governance, and security. It also offers additional solutions, such as the Denodo Platform for Cloud Modernization, the Denodo Platform for Cloud Data Integration, and the Denodo Platform for Cloud Analytics, which overcome common cloud data challenges.

Denodo Features

At the beginning of 2022, version 8.0 of Denodo introduced several new key features of the platform. These include:

Scalability: Denodo can scale from departmental or project to enterprise-wide with geographically distributed nodes. It can also handle large transactional loads of users, sources, and transactions as well as analytical loads of data volumes.
Query optimizers: This feature offers advanced cost-based and source constraint-based query optimization that includes query rewrite, query delegations, data movements, and join optimization.
Intelligent caching: This feature makes full, portal, and time-based caching possible.
Fine-grained security model: This Denodo feature makes integration with external systems possible.
Monitoring and auditing: Denodo offers enterprise-grade monitoring and auditing, which allows for integration with system management products, including Tivoli, Unicenter, and HP BTO.
Development and deployment support: The product offers full lifecycle support for the development and deployment of applications, providing users with all required tools.

Denodo Benefits

Denodo offers various benefits for its users through its services. Some of the greatest advantages of using this platform include:

The solution accelerates time to market for all types of business data through its services.
Denodo provides IT agility, which helps companies respond to business-changing demands in a timely manner.
Users can decide how much data replication they want to reduce through Denodo and use the product in full control.
The solution meets the industry's security and privacy requirements by providing high-grade protection for users' data.
Users can benefit from centralized control of data query executions for complete governance and full security.
Denodo offers legacy replacement, multi-cloud deployments, and cloud migrations with minimal disruptions and a fair price.
The solution utilizes artificial intelligence (AI) and machine learning (ML) to unlock data potential for customers.

Reviews from Real Users

Naresh M., a senior application developer at a financial services firm, appreciates Denodo because it offers quick and simple web services creation.

Alisson M., a senior BigData DevOps engineer at Schaeffler, says that Denodo is great for queries and scouting data.

Denodo

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

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

Buyer's Guide

Denodo vs. IBM Cloud Pak for Data

June 2025

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