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."We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."
"AWS Glue's best features are scalability and cloud-based features."
"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."
"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."
"The most valuable feature of AWS Glue is scalability."
"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"The most valuable feature is Data Catalogs."
"It is easy to virtualize data using the solution."
"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."
"It allows a lot of traceability and you can decide what data you want to collect"
"In general, it's good for us to make tests so we can scout the data."
"Overall, the product works quite well and has a good set of features."
"The best thing about Denodo is that creating and deploying a web service can be done in about 10 minutes, compared to a whole day when it comes to other solutions (such as when deploying with Java and AWS)."
"Denodo is lightweight in terms of how it leads you to combine your discrete data systems at one spot."
"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."
"The interface for AWS Glue could improve, they do not put a lot of details. You can write the code, in PySpark or in Scala, which is a big advantage, it is only easy to use for a developer. It will be difficult for new users to enter the cloud environment."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"The solution’s stability could be improved."
"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."
"It is not clear how the partition discovery would have been affected by more data coming in."
"The product has only a few built-in transformations."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"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."
"Lacks integrations with AWS, GCP and the like."
"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."
"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."
"Sometimes, Windows-related functions do not work properly in Denodo. The analytic functions in SQL do not work properly."
"Tasks such as conversion of a date format or conversion of a number format that can be done in a very easy way in different languages, like SQL or Oracle, are not so easy to do in Denodo. For example, if you want to convert a date from one format to another, in Oracle it's pretty easy; in Denodo, however, it requires so many lines of code. Simple things that can be done very quickly in other database languages require more lines of code in Denodo."
"I would like to see a proper way to avoid killing the sourcing systems."
"There are a couple of areas that can be improved in Denodo. From a stability point of view, sometimes we see issues in the data management functionality. This only happens now and then, however, and usually takes place when we add in our own customization."
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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