We performed a comparison between AWS Glue and Jitterbit Harmony 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."AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"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."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"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."
"It is a stable and scalable solution."
"The Cloud Console for monitoring and troubleshooting data operations."
"Integrity, ease of use, user-friendly user interface, and errorless logs are the most valuable features."
"Jitterbit provides the ability to quickly map data between files and databases."
"Easy integration with Salesforce"
"The fluid user interface (probably the most user friendly interface, when compared to its competitors)."
"It is very easy to build integrations and processes to pull and push data."
"It is a scalable solution."
"We only use small parts of the solution, however, the parts that we use are quite adequate."
"The setup and installation is a bit complex without advanced knowledge or training."
"AWS Glue is more costly compared to other tools like Airflow."
"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 solution’s stability could be improved."
"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."
"The product is expensive for data streaming. This area needs improvement."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"In the past few months, there have been some server downtimes during work hours that have affected some critical scheduled integrations."
"Looping through complex data structures can be difficult."
"I would like the ability to offer a dedicated cloud version for security."
"You need to have some development skills or hire a Jitterbit engineer to make changes."
"I know with Salesforce updating the UI like they did, it slowed it down a lot."
"Its API management capabilities need improvement."
"Sometimes we experience disconnections and I have to close all Jitterbit programs."
"There were some bugs in the product. For example if you run a delete query and test, it deletes the actual data."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Jitterbit Harmony is ranked 18th in Cloud Data Integration with 13 reviews. AWS Glue is rated 7.8, while Jitterbit Harmony 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 Jitterbit Harmony writes "An easy-to-setup solution with good stability ". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas Jitterbit Harmony is most compared with MuleSoft Composer, Azure Data Factory, Microsoft Azure Logic Apps, Mule Anypoint Platform and SnapLogic.
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.