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 facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"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 is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."
"The solution helps organizations gain flexibility in defining the structure of the data."
"I like the fact that AWS Glue works with Python scripts."
"The solution is stable and reliable."
"The most valuable features currently are glue studio, jobs, and triggers."
"Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"It is pretty user-friendly, even for people who aren't super technical."
"The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"Matillion ETL has great Git integration that is perfect and convenient to use."
"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."
"It has good integrations with Amazon Redshift and other AWS services."
"The solution should offer features for streaming data in addition to batching data."
"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."
"There should be more connectors for different databases."
"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."
"We face performance issues when using AWS Glue for data transformation and integration."
"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."
"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."
"The setup and installation is a bit complex without advanced knowledge or training."
"The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."
"It needs integration with more data sources."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."
"The cost of the solution is high and could be reduced."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"I am looking forward to seeing the expansion of the source range for their data loader product."
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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We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
