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 most valuable features currently are glue studio, jobs, and triggers."
"Data catalog and triggers are the two best features for me. AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process."
"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."
"It is a stable and scalable solution."
"It's fairly straightforward as a product; it's not very complicated."
"We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."
"I like the fact that AWS Glue works with Python scripts."
"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"It's been able to do everything we require."
"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."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"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."
"The product's initial setup phase was easy."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"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)."
"Matillion ETL is one hundred percent stable."
"I would like to see stable libraries at the moment they are not there."
"It is not clear how the partition discovery would have been affected by more data coming in."
"The price of the solution could improve."
"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."
"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."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"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."
"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 product must enhance its near-real-time data capture feature."
"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."
"The tool's lineage is very weak."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"Performance can be improved for efficiency, and it can be made faster."
"It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
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, SSIS, Informatica Cloud Data Integration and SnapLogic, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, Informatica PowerCenter, SSIS and Informatica Cloud Data Integration. See our AWS Glue vs. Matillion ETL report.
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