We performed a comparison between AWS Glue and SnapLogic 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."
"Our entire use case was very easily handled or solved using this solution."
"We have found it beneficial when moving data from one source to another."
"AWS Glue is a stable and easy-to-use solution."
"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 product has a valuable feature for data catalog."
"I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages."
"The most valuable features currently are glue studio, jobs, and triggers."
"The solution could improve its API management."
"Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently."
"The API architecture makes it easy for orchestration."
"It's more developer-friendly, and development can be done at a faster phase."
"SnapLogic is more user-friendly than Boomi in terms of debugging. You can move the mouse to a place, and it will record and show the data easily."
"It is a stable solution."
"What I found most valuable in SnapLogic is the ETL feature, particularly the Transform Snap Pack, for example, any kind of reading or writing on Transform Snaps. Other than that, all the third-party connectivity tools such as the SAP Snap Pack, Salesforce Snap Pack, Workday Snap Pack, even the ServiceNow Snap Pack, I find all those are pretty useful in SnapLogic."
"By using snaps instead of functions in code, you can see the building blocks of the integration visually. This helps a lot."
"The product is expensive for data streaming. This area needs improvement."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"The mapping area and the use of the data catalog from Glue could be better."
"I have encountered challenges with multi-region support."
"The monitoring is not that good."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"AWS Glue is more costly compared to other tools like Airflow."
"I would like to see more performance-related dashboards, ones that display the cost of a pipeline, for instance. Also, it would be helpful to have management dashboards for overseeing pipelines and connections."
"One area for improvement in SnapLogic is the transparency in the flow of data. It needs to have more transparency. Right now, users only have a preview option at the end of any job flow, so at the end of any Snap Pack, there is a data preview option that lets you review the data and see how it's moving. What would make the solution better is more debugging and more access to change data from the preview panel or more functionality in terms of the preview option."
"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."
"Connecting to data behind enterprise firewalls has been tricky."
"What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools."
"I don't think the support has better knowledge about technologies and tool support. There were lots of times when we had an issue, and it took me quite a long time to explain the problem. I feel like some of the support staff don't know their product well."
"The dashboards regarding scheduled tasks need further improvement."
"The solution isn't ideal for complex processing or logic. We use another solution for that."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while SnapLogic is ranked 7th in Cloud Data Integration with 21 reviews. AWS Glue is rated 7.8, while SnapLogic is rated 8.0. 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 SnapLogic writes "Easy to set up, easy to use, and is low-code". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and IBM InfoSphere DataStage, whereas SnapLogic is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, SSIS and Alteryx Designer. See our AWS Glue vs. SnapLogic report.
See our list of best Cloud Data Integration vendors.
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.
