Denodo vs IBM Cloud Pak for Data comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Denodo
Ranking in Data Integration
12th
Ranking in Data Virtualization
1st
Average Rating
7.8
Number of Reviews
29
Ranking in other categories
Cloud Data Integration (8th)
IBM Cloud Pak for Data
Ranking in Data Integration
16th
Ranking in Data Virtualization
3rd
Average Rating
8.0
Number of Reviews
11
Ranking in other categories
No ranking in other categories
 

Market share comparison

As of June 2024, in the Data Virtualization category, the market share of Denodo is 43.8% and it increased by 14.7% compared to the previous year. The market share of IBM Cloud Pak for Data is 25.0% and it increased by 58.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Virtualization
Unique Categories:
Data Integration
2.0%
Cloud Data Integration
2.7%
 

Featured Reviews

Dash Bibhuprasad - PeerSpot reviewer
Sep 7, 2022
Saves our underwriters' time with data virtualization, but could provide more learning resources
As a company, we first did a proof-of-concept for about four months to make sure the product was a perfect fit for us or not, and beyond that I have only used Denodo for another year or so, so I know that we haven't used the product to its fullest yet. Indeed, a lot of Denodo has changed since we had our first presentation on it with the Denodo sales team who gave us a rundown of all the features. Nevertheless, there are multiple ideas I could suggest in terms of improvement. First of all, the visualization and reporting could be better. Of course, the data virtualization is good, but the data visualization could be improved with regards to the real-time dashboarding of the graphs, pie charts, etc. For the real-time data, the dashboard should preferably be updated automatically every hour. Let's say, as a CEO or CFO, I just want to know how much premium the company will get at any hour of the day. This data should be readily available on the dashboard. This is largely why we stick with Power BI's dashboarding features (besides the simple fact that Power BI works well hand-in-hand with Azure), and why we still haven't used Denodo's data visualization features as much as the data virtualization features. Another area we have been struggling with is the integration of Denodo with both Salesforce and MuleSoft, which we use to track the customers in our sales system, such as when sending insurance quotes. When we first tried to integrate Salesforce, we found that there was some type of version incompatibility. We had a hard time talking with Salesforce about this, but eventually we upgraded our version and the integration was resolved. Yet, this was a challenge that I feel we didn't need to go through, as we were not able to quickly map out the issue. And with MuleSoft, we have not been able to integrate it properly at all. I have also seen our users complain about the availability of data sources, where they are sometimes not able to connect to all the sources they need. This kind of complaint, however, is difficult to diagnose, and I don't know for sure whether it is due to how we have Denodo set up in the company, or whether it's an actual issue with Denodo itself. These complaints were mainly made during the first few months of our usage, so it is possible that the problems stemmed from a lack of knowledge on how to use Denodo correctly, especially since the individual feedback would generally be something vague like, "Okay, I'm not able to do this". To help resolve these complaints, I would suggest that Denodo work on better documentation and perhaps some kind of virtual training. For example, there's an insurance software company called Guidewire, and when we first brought Guidewire into the company they sent us a lot of training videos even before the actual integration took place. For Denodo, it would be beneficial to make sure that the team that will be using it has some kind of training on how to use the product at least a month beforehand, and there could even be some kind of feedback or Q&A sessions to go along with the training. If Denodo were able to provide this kind of training, it would be very helpful to users in insurance and banking companies because the staff are typically older and not always technically-minded. They say, "You are pushing us too hard", so they need encouragement when it comes to adoption of a new software product.
KR
Aug 21, 2023
A scalable data analytics and digital transformation tool that provides useful features and integrations
I was not fully part of the core team or implementation. The solution is suitable for data analytics and digital transformation. People considering the solution must decide their use case before exploring the tool’s functionalities or components. Typically, people use an IT-heavy approach, adopting functionalities first and then looking for use cases. I would advise them to do the exact opposite. Whatever we do should be in line with the business purpose and the business vision. We must be mindful of the business model and the organization's maturity to consume the insights. These technologies are targeted towards delivering the right decision-making aids. We should not make it an IT agenda. Overall, I rate the product a nine out of ten.

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 features of Denodo are the extraction option for adapters, and there are many things for the views, that are cached. Denodo is not storing the data, it looks first to tune the query, and these things are for the agents."
"The most valuable features are data lineage and the concept of a semantic layer."
"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."
"The ability to transfer data is very valuable."
"One thing that we have noticed is that when you have a BI tool, you end up building a lot of the logic in the BI tool, but as a company, every company wants to be tool agnostic because today, you could be in the Qlik Sense, and tomorrow, you may decide to go with Tableau or something else that is there. If you have put a lot of logic within the tool, transitioning or moving away from one BI tool to another tool becomes a very intensive process. By keeping the logic in Denodo, you can move to any tool."
"This solution provides us with the ability to sync data, and make it available for anyone to use across the business."
"It is a go-to tool for data virtualization. The virtualization and data catalog are the features of why we chose Denodo."
"The performance and the speed to market are the most valuable features of this solution."
"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 of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"The most valuable features are data virtualization and reporting."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"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."
"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."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
 

Cons

"The feature that you have to connect on LDAP needs improvement."
"Documentation needs to be improved"
"Denodo currently integrates with ChatGPT, but the ability to manage and utilize them directly within Denodo would be a significant improvement."
"Denodo has some difficulty supporting large numbers of records."
"Monitoring event logs can be improved. In the older version, there was a monitoring schedule to get event reports and properly audit the reports. In the newer version, it is not there, and we have to manually configure data and audit events."
"The git configuration really should be improved."
"The support is not the best and should be improved."
"The data catalog certainly has room for improvement. It is functional but we look forward to development. We are in constant contact with Denodo and they are fully aware of our needs."
"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."
"The technical support could be a little better."
"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."
"There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement."
"The solution could have more connectors."
"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."
 

Pricing and Cost Advice

"Cost wise, on a scale from one to five, with one being the cheapest and five being the most expensive, Denodo would be at three. We get all the features in a bundle."
"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."
"There is an express edition and a licensed enterprise edition."
"The licensing should be improved, as the cost per connector is quite expensive."
"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."
"The licensing charges for this solution are payable annually."
"I don't know the actual cost, but it's tens of thousands of dollars per month."
"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."
"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."
"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."
"Cloud Pak's cost is a little high."
"The solution is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Manufacturing Company
10%
Computer Software Company
9%
Energy/Utilities Company
8%
Financial Services Firm
27%
Computer Software Company
11%
Manufacturing Company
8%
Government
7%
 

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...
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 do you like most about IBM Cloud Pak for Data?
DataStage allows me to connect to different data sources.
What needs improvement with IBM Cloud Pak for Data?
The product must improve its performance. We see typical cloud-related issues in the solution. IBM can still focus more on keeping the performance up and keeping it 100% available all the time.
 

Also Known As

No data available
Cloud Pak for Data
 

Learn More

 

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: May 2024.
787,061 professionals have used our research since 2012.