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."The solution helps organizations gain flexibility in defining the structure of the data."
"The solution integrates well with other AWS products or services."
"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 solution's technical support is good. Whenever we raise a use case where we face an issue in our company, we get a response from the solution's technical team."
"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."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"The product has a valuable feature for data catalog."
"This solution provides us with the ability to sync data, and make it available for anyone to use across the business."
"It allows a lot of traceability and you can decide what data you want to collect"
"The most valuable features are query optimization and the single language independence from the sources we're using to catch data."
"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."
"Access to numerous forums and internet information."
"Data mining is one of the valuable features. We're able to connect all of the data sources with the installed driver, so that is a good advantage in Denodo. Being able to join the tables and view them is also valuable."
"The logical data warehouse functionality is fantastic. It truly stands out. The ClearOptimizer and Virtual Cache are great features. They work together seamlessly to optimize performance."
"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."
"The solution's visual ETL tool is of no use for actual implementation."
"The monitoring is not that good."
"I have encountered challenges with multi-region support."
"There is a learning curve to this tool."
"The product is expensive for data streaming. This area needs improvement."
"There should be more connectors for different databases."
"The solution should offer features for streaming data in addition to batching data."
"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."
"Denodo currently integrates with ChatGPT, but the ability to manage and utilize them directly within Denodo would be a significant improvement."
"Sometimes, Windows-related functions do not work properly in Denodo. The analytic functions in SQL do not work properly."
"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."
"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 to see a proper way to avoid killing the sourcing systems."
"It would be good if the solution provided a much-needed cellular platform."
"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."
"Performance management could be improved."
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 Informatica Enterprise Data Catalog, 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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