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."Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."
"I like its integration and ability to handle all data-related tasks."
"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."
"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."
"We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."
"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."
"AWS Glue's best features are scalability and cloud-based features."
"Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"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."
"The Cloud Console for monitoring and troubleshooting data operations."
"It is a scalable solution."
"Easy integration with Salesforce"
"Jitterbit provides the ability to quickly map data between files and databases."
"I have encountered challenges with multi-region support."
"The product has only a few built-in transformations."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"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."
"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 crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."
"There should be more connectors for different databases."
"I know with Salesforce updating the UI like they did, it slowed it down a lot."
"You need to have some development skills or hire a Jitterbit engineer to make changes."
"There were some bugs in the product. For example if you run a delete query and test, it deletes the actual data."
"I would like the ability to offer a dedicated cloud version for security."
"In the past few months, there have been some server downtimes during work hours that have affected some critical scheduled integrations."
"Sometimes additional connectors are needed."
"The initial setup can be a little bit difficult."
"Its API management capabilities need improvement."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Jitterbit Harmony is ranked 19th 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, Informatica Cloud Data Integration, SSIS and Talend Open Studio, whereas Jitterbit Harmony is most compared with Microsoft Azure Logic Apps, Azure Data Factory, Mule Anypoint Platform, MuleSoft Composer 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.
