We performed a comparison between AWS Glue and Oracle Integration Cloud Service 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."It is a stable and scalable solution."
"The most valuable feature for me is the visual interface of AWS Glue."
"The solution integrates well with other AWS products or services."
"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 solution's technical support is good. Whenever we raise a use case where we face an issue in our company, we get a response from the solution's technical team."
"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."
"Our entire use case was very easily handled or solved using this solution."
"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."
"People are able to scale up, learn it quickly, and start delivering."
"The solution is scalable."
"The most valuable features of this solution are the SFTP adapters, file adapters, and risk adapters, that we use in everyday projects."
"The dashboard provided by Oracle Integration Cloud for monitoring and error handling is very intuitive."
"The most valuable feature is the ease of customization."
"The Oracle integration tool is the most comfortable tool for using those Oracle products."
"The most valuable feature of Oracle Integration Cloud Service is its ease of use. We do not depend on any tool to develop it. Everything is on the browser and is easy to integrate, even for someone who does not understand a lot about coding."
"Oracle Integration Cloud Service offers a lot of adaptors."
"The mapping area and the use of the data catalog from Glue could be better."
"The technical support for this solution could be improved. In future, we would like to connect more services like Athena or Kinesis to help control more loads of data."
"The solution’s stability could be improved."
"The solution should offer features for streaming data in addition to batching data."
"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."
"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."
"The product is expensive for data streaming. This area needs improvement."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"Now the platform is not built in a way that you can define."
"The bulk processing needs improvement."
"Our client was quite concerned about the cost, which is something that could be reduced."
"Oracle-based automation blueprints for the majority of the integrations would be helpful to have in a future release."
"The support and resources were lacking — they weren't there."
"The logging capabilities could be enhanced. Currently, logs are only retained for a few days, which can be inconvenient for administrators. Ideally, we'd like the option to configure log retention periods, like a month or fifteen days, instead of the current one-week limit."
"It has lengthy documentation, making the process of building applications more time-consuming."
"They should provide tutorials for beginners to learn about the processes."
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AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Oracle Integration Cloud Service is ranked 3rd in Integration Platform as a Service (iPaaS) with 32 reviews. AWS Glue is rated 7.8, while Oracle Integration Cloud Service 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 Oracle Integration Cloud Service writes "An integration tool that is highly compatible and easy to maintain". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Informatica Cloud Data Integration, SSIS and Confluent, whereas Oracle Integration Cloud Service is most compared with Oracle Data Integrator (ODI), Mule Anypoint Platform, Oracle GoldenGate, Azure Data Factory and Microsoft Azure Logic Apps.
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.
