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.
"The solution has a good interface and the integration with GitHub is very useful."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"The data copy template is a valuable feature."
"The most valuable feature of this solution would be ease of use."
"It's extremely consistent."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"Powerful but easy-to-use and intuitive."
"The most valuable features are definitely data integration, data preparation, and data stewardship."
"Talend Open Studio is easy to create jobs. We use the basic functionality and it is very good."
"It is easy to use and covers most of the functions needed. We can use the code without any extra effort. The open source is very good. They have the same commercials with additional connectors. The graphical design environment is also very easy."
"The rapidity of integration with data may be one of the valuable features."
"I didn't have many problems installing it. It seemed very straightforward to me."
"The solution has a good balance between automated items and the ability for a developer to integrate and extend what he needs. Other competing tools do not offer the same grade of flexibility when you need to go beyond what is provided by the tool. Talend, on the other hand, allows you to expand very easily."
"The product's initial setup phase was easy."
"I can connect with different databases such as Oracle Database or SQL Server. It allows you to extract the data from one database to another. I can structure the data by filtering and mapping the fields. It is very user-friendly. You need to know the basics of SQL development or SQL queries, and you can use this tool."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."
"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."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"Some of the optimization techniques are not scalable."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"Azure Data Factory's pricing in terms of utilization could be improved."
"I would say that writing to JSON is kind of a pain. It reads from a JSON file pretty well, but writing to a JSON file is not so great because its components are not good."
"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."
"I rate Talend Open Studio's stability an eight out of ten. Talend has some problems sometimes."
"In terms of what can be improved, the scheduling is not there in the sister version, while it is there in the cloud one, which is a paid version. If all kinds of scheduling could be available on the Open Studio that we generally use and practice on, that would be great. The scheduling of the data migration is currently not available in the sister version of Talend Open Studio that we are working on. It is available in the advanced version of the Talend. This is the one thing that can be improvised."
"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."
"As for improvement or additional features, I would like to know how to use Java in Talend and also how to use Talend in the cloud or in big data. I would prefer to have storage directly on Talend."
"The price for Talend Data Integration should be less expensive."
"Talend Open Studio is in Java language, and right now, you can only use the debug functionality in Java. I see that people who know programming languages other than Java currently face difficulties."
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.
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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.
