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Denodo vs dbt 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

dbt
Ranking in Data Integration
31st
Average Rating
7.6
Reviews Sentiment
7.4
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Denodo
Ranking in Data Integration
9th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
37
Ranking in other categories
Data Virtualization (1st), Cloud Data Integration (5th)
 

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of dbt is 2.1%, up from 0.3% compared to the previous year. The mindshare of Denodo is 1.7%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Denodo1.7%
dbt2.1%
Other96.2%
Data Integration
 

Featured Reviews

Ninad Magdum - PeerSpot reviewer
Developer-friendly and easy to use, but doesn't have many optimization options
We also use stored procedures and Talend. They are not replaced by dbt completely. We use dbt only for the transformation process. My recommendations would depend on an organization’s requirements and problems. I will recommend the tool to others. The product is developer-friendly. However, it is still dependent on the data warehouse for big data and optimization. It's just a SQL transformation tool. It doesn't have a lot of optimization options like Spark. It's a good tool for Snowflake. If it were only for Snowflake, I would have rated it an eight out of ten. However, there are other data platforms. Overall, I rate the tool a six and a half out of ten.
Atanu Chatterjee - PeerSpot reviewer
Data virtualization and integration enabled while caching and scalability room for improvement
In terms of improvements for Denodo, regarding performance, in cases where there are multiple virtualizations—such as reading from one Denodo view that is virtualized, and from that view there's also virtualization, and another team is reading from that view—if multiple virtualizations happen with no caching in between, it becomes slow. This occurs because it is cascading; whenever at the top level someone is reading data, that request is getting cascaded to the nth level, causing issues, especially in cases such as Power BI reports. We need to consider implementing some persistent layer in between. The scaling process should improve because many things are getting automated. The scale-out part needs to be automated, though I am uncertain whether Denodo has already implemented that feature.

Quotes from Members

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

Pros

"The product is developer-friendly."
"It is easy to virtualize data using the solution."
"This solution provides us with the ability to sync data, and make it available for anyone to use across the business."
"The most valuable aspects of this solution are the short time frame in which you can deliver and connect."
"In general, it's good for us to make tests so we can scout the data."
"It is a go-to tool for data virtualization. The virtualization and data catalog are the features of why we chose Denodo."
"The most valuable feature is the performance. Denodo is very useful, especially in this huge pharma environment. I've found that older SAP solutions were very tightly coupled to each other, which resulted in data restrictions. Getting data from different sources was tough and tedious. Compared to these old solutions, Denodo is very easy to work with for the analytical team. Now that we've implemented this virtualization layer, we are capable of getting the data very smoothly. We implemented a very small unit, but the performance and integration have been very good."
"The most valuable feature is Data Catalogs."
"Denodo is very stable."
 

Cons

"The solution must add more Python-based implementations."
"The integration could use improvement, it's a lot of non-speed line processes that we have discovered, in the country. The configurations could use a lot more improvement."
"Denodo's training documentation could be improved by providing more material. From an administrative standpoint, I've found that only Denodo websites provide the usual tutorials. It may be because it's a bit of a restricted tool, but it results in trouble with learning. Normally, I can find help and solutions from other sources, but I haven't been able to find any for Denodo. Other that, it's fine and it performs well. I only have six months of experience, so I can't accurately suggest improvements."
"Denodo shows stability concerns due to its dependency on external environments, such as JVM."
"The dropdown menus feel antiquated to me, and the administrative portals need improvement."
"Lacks integrations with AWS, GCP and the like."
"It requires improving the story of how it can solve specific problems."
"I would like to see a connectivity option with third-party apps, for example, JDBC, and ODBC drivers. Currently, we need to install it separately from the Denodo side and then connect it."
"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."
 

Pricing and Cost Advice

"The solution’s pricing is affordable."
"There is an express edition and a licensed enterprise edition."
"The pricing is pretty good, and I would rate it at four out of five."
"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."
"Denodo provides a lightweight 30-day free trial, but when we do courses on top of it, it costs $150 for each person."
"For us, the cost has been okay. Also, there are no additional costs; it's just the standard licensing fee."
"The licensing should be improved, as the cost per connector is quite expensive."
"Talking with my manager and others, nobody has complained about the pricing so far which is a positive sign."
"Depending on the size of the client you want to work with, it can be prohibitively expensive at times."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Insurance Company
11%
Manufacturing Company
8%
Outsourcing Company
6%
Financial Services Firm
24%
Manufacturing Company
11%
Computer Software Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise6
Large Enterprise19
 

Questions from the Community

What is your experience regarding pricing and costs for dbt?
It is cheap because dbt is open source. If you compare the pay-per-service of Dbt with the open source option you can manage. We are managing the solution, when we were acquiring service from them....
What needs improvement with dbt?
SQL statements that beyond DML, are not possible. Currently, they are not possible in Dbt. Having more features in SQL statements will support us. Another issue is the terms of data ingestion becau...
What is your primary use case for dbt?
We use the solution to deal with data transformations inside different organizations.
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...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
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
Find out what your peers are saying about Denodo vs. dbt and other solutions. Updated: September 2025.
869,760 professionals have used our research since 2012.