We performed a comparison between Azure Data Factory and Jitterbit Harmony based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"The most important feature is that it can help you do the multi-threading concepts."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"It is easy to deploy workflows and schedule jobs."
"It is a scalable solution."
"The fluid user interface (probably the most user friendly interface, when compared to its competitors)."
"The Cloud Console for monitoring and troubleshooting data operations."
"Easy integration with Salesforce"
"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."
"Jitterbit provides the ability to quickly map data between files and databases."
"We only use small parts of the solution, however, the parts that we use are quite adequate."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"There is no built-in pipeline exit activity when encountering an error."
"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"Some of the optimization techniques are not scalable."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"Sometimes we experience disconnections and I have to close all Jitterbit programs."
"The initial setup can be a little bit difficult."
"Its API management capabilities need improvement."
"Sometimes additional connectors are needed."
"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."
"Looping through complex data structures can be difficult."
"There were some bugs in the product. For example if you run a delete query and test, it deletes the actual data."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Jitterbit Harmony is ranked 35th in Data Integration with 13 reviews. Azure Data Factory is rated 8.0, while Jitterbit Harmony is rated 8.6. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Jitterbit Harmony writes "An easy-to-setup solution with good stability ". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Jitterbit Harmony is most compared with Microsoft Azure Logic Apps, Mule Anypoint Platform, MuleSoft Composer, SnapLogic and TIBCO Scribe. See our Azure Data Factory vs. Jitterbit Harmony report.
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We monitor all 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.
