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AWS Glue vs Denodo 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:
 

ROI

Sentiment score
6.9
AWS Glue delivers cost-effective efficiency, reducing setup costs and time while providing favorable ROI for limited pipeline needs.
Sentiment score
6.8
Denodo improved efficiency, ROI, decision-making, reduced churn, and increased loyalty, significantly enhancing data processing and systems replacement.
I advocate using Glue in such cases.
 

Customer Service

Sentiment score
6.8
AWS Glue users appreciate technical support for its reliability and helpfulness, but desire improvements in response consistency and fees.
Sentiment score
7.2
Denodo's support is praised for responsiveness and expertise but criticized for slow bug fixes and lack of proactive engagement.
Upgrades occur every four months, and new developments coincide with version updates.
They have a good methodology for learning how to use the tool.
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.
 

Scalability Issues

Sentiment score
8.0
AWS Glue offers seamless, scalable data handling with serverless architecture, though some see potential for resource management improvements.
Sentiment score
7.5
Denodo is scalable and integrates widely but may require additional management for performance and cost efficiency.
It is beneficial to upgrade jobs, and we conduct extensive testing in development before migrating to production.
It can easily handle data from one terabyte to 100 terabytes or more, scaling nicely with larger datasets.
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.
 

Stability Issues

Sentiment score
8.0
AWS Glue is highly reliable, seamlessly integrates with AWS, and benefits from serverless architecture, managed support, and easy troubleshooting.
Sentiment score
6.9
Denodo offers robust stability with minor bugs; high reliability improves in the latest version despite complex scenario challenges.
AWS Glue is highly stable, and I would rate its stability as nine.
I would rate it nine out of ten because it is very reliable, always performing as expected.
If JVM does not function properly, it may cause Denodo to fail to connect to different sources.
 

Room For Improvement

AWS Glue users seek quicker start-up, better UI, Java support, multi-cloud compatibility, cost reduction, and improved documentation and support.
The system needs comprehensive improvements in functionality, integration, support, UI, scalability, security, documentation, and external tool compatibility.
Migrating jobs from version 3.0 to 4.0 can present compatibility issues.
With AWS, I gather data from multiple sources, clean it up, normalize it, de-duplicate it, and make it presentable.
A more user-friendly and simpler process would help speed up the deployment process.
Ensuring data caching is up to date is critical.
Denodo needs better communication on how the product can be deployed for specific solutions.
The system has dependencies on other environments, like JVM, which can affect its performance.
 

Setup Cost

AWS Glue offers flexible pay-as-you-go pricing, affordable yet costly for smaller firms, with extra costs for technical support.
Denodo pricing is costly, designed for large enterprises, with complex licensing and costs varying by customer needs.
Costing depends on resource usage, and cost optimization may involve redesigning jobs for flexibility.
AWS charges based on runtime, which can be quite pricey.
The smallest cost for a project is around €700, while the largest can reach up to €7,000 based on the scale of the usage.
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.
 

Valuable Features

AWS Glue features a user-friendly, scalable interface, ensuring seamless integration, effective ETL tasks, and cost-effective data transformation.
Denodo is praised for data virtualization, efficiently integrating and managing diverse sources with strong security, introspection, and visualization.
For ETL, I feel the performance is excellent. If I create jobs in a standard way, the performance is great, and maintenance is also seamless.
AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models.
I think if I'm working with big data, common languages like Python work quite nicely, which is advantageous.
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
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 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.
 

Categories and Ranking

AWS Glue
Ranking in Cloud Data Integration
1st
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
49
Ranking in other categories
No ranking in other categories
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 (9th), Data Virtualization (1st)
 

Mindshare comparison

As of July 2025, in the Cloud Data Integration category, the mindshare of AWS Glue is 18.6%, down from 22.2% compared to the previous year. The mindshare of Denodo is 3.4%, down from 3.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration
 

Featured Reviews

Saurabh Jaiswal - PeerSpot reviewer
Enables seamless integration and data preparation with robust transformation capabilities
AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models. It offers transformation options on canvas or through ETL pipelines, notebooks, and code. Additionally, it supports data preparation, cleaning, and filtering seamlessly. AWS Glue also enhances job scheduling and orchestration capabilities, integrating with AWS Glue Studio for comprehensive data workflow management.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
13%
Manufacturing Company
8%
Government
6%
Financial Services Firm
22%
Manufacturing Company
10%
Computer Software Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Talend Open Studio compare with AWS Glue?
We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...
What are the most common use cases for AWS Glue?
AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...
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

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
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 AWS Glue vs. Denodo and other solutions. Updated: June 2025.
860,168 professionals have used our research since 2012.