We performed a comparison between AWS Glue and Denodo based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Our entire use case was very easily handled or solved using this solution."
"I like the fact that AWS Glue works with Python scripts."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"AWS Glue's best features are scalability and cloud-based features."
"The solution is stable and reliable."
"The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."
"Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."
"The solution helps organizations gain flexibility in defining the structure of the data."
"Denodo's best features are its performance, easy data transformation, and the job scheduler."
"This solution provides us with the ability to sync data, and make it available for anyone to use across the business."
"In general, it's good for us to make tests so we can scout the data."
"It can support a number of data sources, and it can pull flat files, from cloud-based databases or from those on-premises. Denodo can pull from any data source and interface with the view. Then, we can publish the view."
"The most valuable aspects of this solution are the short time frame in which you can deliver and connect."
"Overall, the product works quite well and has a good set of features."
"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 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."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"We face performance issues when using AWS Glue for data transformation and integration."
"While working on AWS Glue, I could not find any training material for it."
"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."
"The solution’s stability could be improved."
"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."
"If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data."
"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."
"The solution is slow when there are many virtualization layers."
"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."
"We can't scale it to meet digital requirements."
"The feature that you have to connect on LDAP needs 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 can improve usage management-related aspects. If you deal with the mini views, it gets stuck. The performance is very slow when we go with a large number of views and high volume."
"Sometimes, Windows-related functions do not work properly in Denodo. The analytic functions in SQL do not work properly."
"We occasionally have some integration issues that we need to work through."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Denodo is ranked 8th in Cloud Data Integration with 29 reviews. AWS Glue is rated 7.8, while Denodo is rated 7.8. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of Denodo writes "Saves our underwriters' time with data virtualization, but could provide more learning resources". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Mule Anypoint Platform, whereas Denodo is most compared with Azure Data Factory, Delphix, Mule Anypoint Platform, Informatica PowerCenter and Palantir Foundry. See our AWS Glue vs. Denodo report.
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