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."AWS Glue's most valuable features are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code."
"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."
"It is a stable and scalable solution."
"What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours."
"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."
"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"I like the fact that AWS Glue works with Python scripts."
"I like its integration and ability to handle all data-related tasks."
"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 ability to connect to a lot of different sources."
"While we may not be using all the features of Denodo at this time, we have found the data virtualization features to be very useful in helping us connect our data sources together, bringing all our data into one platform."
"Denodo's best features are its performance, easy data transformation, and the job scheduler."
"In PL/SQL, first you need to gather all the data and then start writing the file, but in Denodo you fetch the data and write the data simultaneously. So, for example, if you have 1 million or 2 million records, you don't have to wait to fetch all of the 2 million; you can keep on fetching and writing in the file simultaneously."
"Denodo is lightweight in terms of how it leads you to combine your discrete data systems at one spot."
"It allows a lot of traceability and you can decide what data you want to collect"
"One thing that we have noticed is that when you have a BI tool, you end up building a lot of the logic in the BI tool, but as a company, every company wants to be tool agnostic because today, you could be in the Qlik Sense, and tomorrow, you may decide to go with Tableau or something else that is there. If you have put a lot of logic within the tool, transitioning or moving away from one BI tool to another tool becomes a very intensive process. By keeping the logic in Denodo, you can move to any tool."
"It fails to handle massive databases acquired from various sources."
"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."
"I would like to see stable libraries at the moment they are not there."
"There should be more connectors for different databases."
"While working on AWS Glue, I could not find any training material for it."
"It is not clear how the partition discovery would have been affected by more data coming in."
"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"Monitoring event logs can be improved. In the older version, there was a monitoring schedule to get event reports and properly audit the reports. In the newer version, it is not there, and we have to manually configure data and audit events."
"It would be beneficial to make sure that the team that will be using Denodo 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."
"I would like it if we could pull the data model or export the data model because Denodo has, based on how you build, something called associations. The data model gets very confusing when you go look at it. It depends on how you define it, but it's really huge. I wish there was a way to export it into Visio. It could be that they already have a way to do it, and I don't know, but it would be much easier for the architects and even for the developers to look at it than scrunching it into the screen and expanding every small portion of it. If there was an easy way to export the Denodo model into another modeling tool and view it, it would be great."
"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."
"Performance management could be improved."
"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."
"We occasionally have some integration issues that we need to work through."
"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."
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, Informatica Cloud Data Integration, SSIS and Informatica Enterprise Data Catalog, whereas Denodo is most compared with Azure Data Factory, Mule Anypoint Platform, Delphix, Informatica PowerCenter and Palantir Foundry. See our AWS Glue vs. Denodo report.
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