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."What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours."
"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."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"The solution integrates well with other AWS products or services."
"AWS Glue's best features are scalability and cloud-based features."
"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."
"I appreciate AWS Glue for its cost-effectiveness."
"The Cloud Console for monitoring and troubleshooting data operations."
"It is a scalable solution."
"The fluid user interface (probably the most user friendly interface, when compared to its competitors)."
"Jitterbit handles the most lines of data in a .csv and loads the quickest of any data loader I have tried."
"Integrity, ease of use, user-friendly user interface, and errorless logs are the most valuable features."
"It is very easy to build integrations and processes to pull and push data."
"Easy integration with Salesforce"
"It runs like an appliance and has tremendous throughput."
"While working on AWS Glue, I could not find any training material for it."
"AWS Glue is more costly compared to other tools like Airflow."
"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."
"It is not clear how the partition discovery would have been affected by more data coming in."
"The product is expensive for data streaming. This area needs improvement."
"In terms of improvement, the performance of AWS Glue could be faster."
"The monitoring is not that good."
"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."
"Looping through complex data structures can be difficult."
"Sometimes additional connectors are needed."
"Its API management capabilities need improvement."
"You need to have some development skills or hire a Jitterbit engineer to make changes."
"Sometimes we experience disconnections and I have to close all Jitterbit programs."
"I know with Salesforce updating the UI like they did, it slowed it down a lot."
"In the past few months, there have been some server downtimes during work hours that have affected some critical scheduled integrations."
"The initial setup can be a little bit difficult."
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.
