We performed a comparison between AWS Glue and Matillion ETL 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 integrates well with other AWS products or services."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"I like the fact that AWS Glue works with Python scripts."
"The solution is highly user-friendly, and its features are easy to use. The new addition of AWS Glue Data Catalog is also very beneficial, making the tool even more helpful for its users."
"We have found it beneficial when moving data from one source to another."
"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."
"The product has a valuable feature for data catalog."
"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python."
"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL)."
"The loading of data is the most valuable feature of Matillion ETL."
"Matillion ETL is one hundred percent stable."
"The product's initial setup phase was easy."
"The product has a good user interface."
"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."
"The product is expensive for data streaming. This area needs improvement."
"One area that could be improved is the ETL view. The drag-and-drop interface is not as user-friendly as some other ETL tools."
"It fails to handle massive databases acquired from various sources."
"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."
"The mapping area and the use of the data catalog from Glue could be better."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience."
"It needs integration with more data sources."
"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. AWS Glue is rated 7.8, while Matillion ETL is rated 8.6. 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 Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Informatica Cloud Data Integration, SSIS and Palantir Foundry, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, SSIS, Informatica PowerCenter and Informatica Cloud Data Integration. See our AWS Glue vs. Matillion ETL report.
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