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."Our entire use case was very easily handled or solved using this solution."
"The key role for Glue is that it hosts our metadata before rolling out our actual data. This is the major advantage of using this solution and our clients client have been very satisfied with it."
"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."
"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."
"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."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"The product is easy to use and has many connectivity options."
"The connection with SOAP is the best feature."
"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"
"You can use other languages, such as Python, and easily connect to other systems."
"The solution could improve its API management."
"By using snaps instead of functions in code, you can see the building blocks of the integration visually. This helps a lot."
"The API architecture makes it easy for orchestration."
"It is a scalable solution."
"There is a learning curve to this tool."
"The product is expensive for data streaming. This area needs improvement."
"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."
"I would like to see stable libraries at the moment they are not there."
"The solution's visual ETL tool is of no use for actual implementation."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"The solution’s stability could be improved."
"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."
"SnapLogic should have some inbuilt protocol mechanism in order to speed up."
"The support is the most important improvement they could make."
"Ultra Pipelines provides real-time ingestion but it needs some adjustment."
"Connecting to data behind enterprise firewalls has been tricky."
"SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps."
"There is room for improvement with APM management and how task execution looks."
"We'd like there to be more ways for users to get more comfortable and have more experience with the solution to make it easier to use."
"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."
AWS Glue is ranked 1st in Cloud Data Integration with 32 reviews while SnapLogic is ranked 6th in Cloud Data Integration with 13 reviews. AWS Glue is rated 7.8, while SnapLogic is rated 8.2. The top reviewer of AWS Glue writes "It has a real-time backup feature and records and backs up information every single moment, but its cost is high, and setting it up is complex". On the other hand, the top reviewer of SnapLogic writes "Automates manual activities and has helpful documentation that allows users to self-study". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Palantir Foundry, whereas SnapLogic is most compared with Azure Data Factory, IBM InfoSphere DataStage, Informatica Cloud Data Integration, SSIS and Matillion ETL. See our AWS Glue vs. SnapLogic report.
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