We performed a comparison between AWS Glue and Boomi iPaaS based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."One of the best features of the solution is its ability to easily integrate with other AWS services."
"It is a stable and scalable solution."
"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."
"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."
"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."
"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."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"Extremely flexible for any kind of integration between systems."
"The Salesforce and NetSuite Application specific “connectors” provide a layer of abstraction on top of the SOAP-based APIs to streamline integration development."
"This is a fairly easy-to-use tool for integration which can be self-taught for those with a bit of a technical background."
"The most valuable feature of the solution is its monitoring part to debug certain issues and find problems."
"The iPaaS functionality is very mature. The browser based IDE is also very mature and stable."
"The solution has a lot of connectors, which is quite helpful."
"Low-code development is the most valuable feature."
"AtomSphere Integration will suit those looking for small automation and simple integrations."
"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."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"I have encountered challenges with multi-region support."
"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"The price of the solution could improve."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"We face performance issues when using AWS Glue for data transformation and integration."
"The product's UI could be more convenient."
"There are very few string handling functions and few mathematical functions are available."
"There should be more scripting possibilities."
"It is a costly platform. Its pricing could be better."
"The solution is complex. There's a few items and features that are hard to understand. They should work to simplify the functionality so new users don't struggle."
"In my experience, I haven't encountered any major issues with the tool. However, there could be a learning curve for new users, especially depending on which tool you're using. For example, I've used MuleSoft in the past, which is more code-oriented and requires knowledge of Java. Transitioning to Boomi AtomSphere Integration took me a couple of months because of differences in terminology."
"There are still some areas that need improvement. For example, when updates are going on, the product becomes very slow."
"They need to introduce more configurable functions to remove scripting or coding. Scripting should be minimized. It should have exhaustive functions. Currently, it lacks in this aspect."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Boomi iPaaS is ranked 5th in Integration Platform as a Service (iPaaS) with 25 reviews. AWS Glue is rated 7.8, while Boomi iPaaS 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 Boomi iPaaS writes "Stable product, suitable for limited integrations and lacks flexibility ". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas Boomi iPaaS is most compared with Microsoft Azure Logic Apps, webMethods Integration Server, SSIS, Oracle Integration Cloud Service and Azure Data Factory.
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.
