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Denodo vs Matillion Data Productivity Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 6, 2025

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
6.8
Denodo improved efficiency, ROI, decision-making, reduced churn, and increased loyalty, significantly enhancing data processing and systems replacement.
Sentiment score
7.5
Matillion Data Productivity Cloud saves time and reduces costs, offering a rapid ROI and improved efficiencies with integrated platforms.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
 

Customer Service

Sentiment score
7.2
Denodo's support is praised for responsiveness and expertise but criticized for slow bug fixes and lack of proactive engagement.
Sentiment score
7.6
Matillion Data Productivity Cloud excels in service and support with fast response, comprehensive resources, and high customer satisfaction.
Denodo's customer support team is very competent and responsive.
If we raise a ticket, it can be resolved or addressed within a reasonable time frame, so support is good.
The documentation is very thorough.
They communicate effectively and respond quickly to all inquiries.
 

Scalability Issues

Sentiment score
7.5
Denodo is scalable and integrates widely but may require additional management for performance and cost efficiency.
Sentiment score
7.4
Matillion Data Productivity Cloud effectively scales with cloud resources and databases, though managing multiple nodes can be challenging.
For huge data requests, it cannot scale automatically; admin action is required.
While the solution scales well on a single machine, I have doubts about its scalability when deployed as part of a Java component cluster.
Its complexity in configuring and the requirement to install different connectors for different sources affects its scalability.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
 

Stability Issues

Sentiment score
6.9
Denodo offers robust stability with minor bugs; high reliability improves in the latest version despite complex scenario challenges.
Sentiment score
7.9
Matillion Data Productivity Cloud is stable and effective, with responsive support; hardware or configurations occasionally cause issues.
If JVM does not function properly, it may cause Denodo to fail to connect to different sources.
I would rate it nine out of ten because it is very reliable, always performing as expected.
 

Room For Improvement

The system needs comprehensive improvements in functionality, integration, support, UI, scalability, security, documentation, and external tool compatibility.
Matillion needs frequent API updates, improved UI, better documentation, more integrations, enhanced scalability, and real-time data capture.
The system has dependencies on other environments, like JVM, which can affect its performance.
Denodo needs better communication on how the product can be deployed for specific solutions.
Ensuring data caching is up to date is critical.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
 

Setup Cost

Denodo pricing is costly, designed for large enterprises, with complex licensing and costs varying by customer needs.
Matillion's pricing is competitive, flexible, and cost-effective, with discounts for annual commitments and strategic instance management.
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
Denodo's pricing is not affordable for small companies and is more suitable for medium to large enterprises.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
 

Valuable Features

Denodo is praised for data virtualization, efficiently integrating and managing diverse sources with strong security, introspection, and visualization.
Matillion Data Productivity Cloud enhances ETL processes with user-friendly tools, automation, and security for efficient, scalable data management.
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
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.
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.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
 

Categories and Ranking

Denodo
Ranking in Cloud Data Integration
5th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
37
Ranking in other categories
Data Integration (8th), Data Virtualization (1st)
Matillion Data Productivity...
Ranking in Cloud Data Integration
9th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Cloud Data Integration category, the mindshare of Denodo is 3.3%, down from 3.6% compared to the previous year. The mindshare of Matillion Data Productivity Cloud is 5.0%, up from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Market Share Distribution
ProductMarket Share (%)
Denodo3.3%
Matillion Data Productivity Cloud5.0%
Other91.7%
Cloud Data Integration
 

Featured Reviews

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.
Jitendra Jena - PeerSpot reviewer
Easy integration and workflow proposals streamline processes
The predefined connectors eliminate the need to write code for connectivity. If you have a predefined connector, it is easy to use with plug and play functionality. The processing time and ease of use are significant benefits. As everyone is moving into AI integration, it will definitely help. When creating workflows, they can propose solutions directly.
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Manufacturing Company
10%
Computer Software Company
8%
Government
7%
Computer Software Company
16%
Financial Services Firm
16%
Manufacturing Company
9%
Insurance Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise6
Large Enterprise19
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise10
Large Enterprise11
 

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 pricing is managed by the tooling team. The pricing is moderate, neither expensive nor cheap.
What needs improvement with Matillion ETL?
The main areas for improvement are AI features and scalability.
 

Also Known As

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

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 Data Productivity Cloud and other solutions. Updated: September 2025.
867,349 professionals have used our research since 2012.