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Denodo vs Matillion ETL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 3, 2024

Review summaries and opinions

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

Customer Service

Sentiment score
7.0
Denodo's support is praised for responsiveness and expertise, despite initial frustrations, with high customer satisfaction ratings overall.
Sentiment score
7.5
Matillion offers excellent customer service with fast, knowledgeable support and comprehensive resources, though speed improvements are possible.
Denodo's customer support team is very competent and responsive.
I have not yet needed to raise a ticket with Denodo's technical support as most questions have been answered through the community resources.
 

Room For Improvement

Sentiment score
4.3
Denodo needs improvements in integration, user interface, scalability, cost, training, and modern technology support for better efficiency.
Sentiment score
5.2
Users request API updates, better documentation, enhanced performance, UI improvements, and multi-environment support with cost and scalability concerns.
Ensuring data caching is up to date is critical.
Denodo needs better communication on how the product can be deployed for specific solutions.
 

Scalability Issues

Sentiment score
7.7
Denodo offers high scalability across environments, but performance can vary with integration and clustering, impacting overall user sentiment.
Sentiment score
7.7
Matillion ETL is praised for scalable cloud integration and efficient data transformation, though Python components may need monitoring.
While the solution scales well on a single machine, I have doubts about its scalability when deployed as part of a Java component cluster.
 

Setup Cost

Sentiment score
5.4
Denodo's pricing is high but competitive, featuring core-based licensing with optional features and a free trial.
Sentiment score
6.7
Matillion ETL offers competitive, flexible pay-as-you-go pricing on AWS, with discounts and no permanent commitments.
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
 

Stability Issues

Sentiment score
7.1
Users commend Denodo for its stability, effective support, and improvements in Version 8, often rating it nine out of ten.
Sentiment score
7.8
Matillion ETL is stable, reliable, and well-supported, though issues may occur on smaller machines or with intensive tasks.
I would rate it nine out of ten because it is very reliable, always performing as expected.
 

Valuable Features

Sentiment score
8.3
Denodo excels in data virtualization, unifying sources with user-friendly UI, real-time access, security, and seamless integration capabilities.
Sentiment score
8.3
Matillion ETL offers efficient data integration with user-friendly interface, AWS compatibility, and features like scalability and CDC.
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.
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
 

Categories and Ranking

Denodo
Ranking in Cloud Data Integration
11th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
34
Ranking in other categories
Data Integration (14th), Data Virtualization (1st)
Matillion ETL
Ranking in Cloud Data Integration
5th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
26
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Cloud Data Integration category, the mindshare of Denodo is 4.6%, up from 3.2% compared to the previous year. The mindshare of Matillion ETL is 4.1%, down from 5.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration
 

Featured Reviews

Dash Bibhuprasad - PeerSpot reviewer
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.
AntonHaupt - PeerSpot reviewer
Efficient data integration and transformation with seamless cloud-native integration
In our small business unit, we currently have around four users, with two of them utilizing Matillion within our organization. Considering our growing needs, we're contemplating transitioning to an enterprise SaaS solution where we would share the same instance. Currently, each user is billed individually, but consolidating to a shared instance seems more efficient. Scalability is excellent when using the SaaS solution, easily reaching a rating of ten out of ten. Each data pipeline request is encapsulated within a Docker container and spun off, allowing for instant scalability. Overall, I would rate it a nine out of ten in terms of performance and scalability.
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Manufacturing Company
10%
Computer Software Company
9%
Energy/Utilities Company
8%
Financial Services Firm
16%
Computer Software Company
14%
Manufacturing Company
9%
Government
6%
 

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 Matillion ETL?
The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
What is your experience regarding pricing and costs for Matillion ETL?
The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running. Its pricing model is different from the traditional pricing models ...
What needs improvement with Matillion ETL?
Depending on the use case, the solution's pricing could be improved. Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems.
 

Comparisons

 

Also Known As

No data available
Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
 

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
Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Find out what your peers are saying about Denodo vs. Matillion ETL and other solutions. Updated: December 2024.
823,875 professionals have used our research since 2012.