We performed a comparison between Azure Data Factory and Talend Open Studio based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Azure Data Factory has an edge over Talend in this comparison. Most Azure Data Factory reviewers feel that it is reasonably priced when compared with Talend.
"It is easy to deploy workflows and schedule jobs."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"It is a complete ETL Solution."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"The most valuable aspect is the copy capability."
"The most important feature is that it can help you do the multi-threading concepts."
"This is a user-friendly solution that is easy to use."
"The data integration aspect of the solution is excellent."
"The product is easy to install and configure. It is one of the best tools for data integration."
"This solution has improved our overall time to value for data ingestion."
"Talend lets you do everything — mapping, workflow, and orchestration — in a single place."
"A helpful feature for us is the integration with NoSQL databases."
"The rapidity of integration with data may be one of the valuable features."
"Talend is safe to use because it is very restrictive. It is easy to use when one learns how to manipulate data with SQL."
"The product could provide more ways to import and export data."
"Data Factory's cost is too high."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"There are limitations when processing more than one GD file."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"The stability of the solution could improve when running jobs. There can be errors when running projects but in the end, it works well and the errors do not impact the result."
"The documentation is lacking within the product. They need to get better at all aspects of describing how it works and how to use it."
"The security features could be improved."
"The solution needs more integrations."
"Having additional training materials, such as a video tutorial, would be an improvement."
"In version 6.2 we did encounter issues with the job servers and specifically with ESB. Version 6.3 is better but large jobs can cause the MDM server to fall over, requiring a reboot."
"It is not as visually appealing as some of the other tools."
"Inter-version compatibility is a problem, and migration projects between versions are required."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Talend Open Studio is ranked 5th in Data Integration with 47 reviews. Azure Data Factory is rated 8.0, while Talend Open Studio is rated 8.0. 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 Talend Open Studio writes "An open-source ETL tool, when deployed on-premises, requiring an easy installation phase". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and SSIS, whereas Talend Open Studio is most compared with SSIS, IBM InfoSphere DataStage, Talend Data Fabric, AWS Glue and Oracle Data Integrator (ODI). See our Azure Data Factory vs. Talend Open Studio 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.
