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."The most valuable features are data transformations."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"We have been using drivers to connect to various data sets and consume data."
"It's extremely consistent."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"Its integrability with the rest of the activities on Azure is most valuable."
"Integrity, ease of use, user-friendly user interface, and errorless logs are the most valuable features."
"We only use small parts of the solution, however, the parts that we use are quite adequate."
"Easy integration with Salesforce"
"Jitterbit handles the most lines of data in a .csv and loads the quickest of any data loader I have tried."
"Jitterbit provides the ability to quickly map data between files and databases."
"The Cloud Console for monitoring and troubleshooting data operations."
"It runs like an appliance and has tremendous throughput."
"It is a scalable solution."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"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."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"Azure Data Factory's pricing in terms of utilization could be improved."
"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."
"Looping through complex data structures can be difficult."
"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."
"Its API management capabilities need improvement."
"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."
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.
See our list of best Data Integration vendors.
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.