We performed a comparison between Azure Data Factory and Informatica Cloud Data Integration based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Azure Data Factory comes out on top in this comparison. It is easy to set up, user-friendly, and performs well. In addition, Azure Data Factory users are happier with the pricing. One area where Informatica Cloud Data did come out on top was in the support category.
"I like the basic features like the data-based pipelines."
"We use the solution to move data from on-premises to the cloud."
"The most valuable feature of this solution would be ease of use."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The flexibility that Azure Data Factory offers is great."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"Whether we need data cleansing or data mastering, we get it all in one platform."
"The solution has the best feature for parameterization."
"The support is very good."
"Data synchronization tasks."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"It is one of the best tools available for data integration."
"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"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 deployment should be easier."
"Lacks in-built streaming data processing."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"Certain applications are not being synced with the ION."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
"The vendor should have more training resources: online classes, free tutorial videos, etc."
"One area that needs to improve is the user experience because it is very complex. The trial version is very complex so it's not easy to start using the program immediately. You must study the rules first."
"A general improvement in icons and the virtual interface would be good."
"There are a small number of UI bugs that occur on occasion."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"User/group administration could use improvement."
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Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews. Azure Data Factory is rated 8.0, while Informatica Cloud Data Integration is rated 7.8. 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 Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". Azure Data Factory is most compared with Informatica PowerCenter, Alteryx Designer, Snowflake, IBM InfoSphere DataStage and Palantir Foundry, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, AWS Glue, Fivetran, IBM Cloud Pak for Data and Mule Anypoint Platform. See our Azure Data Factory vs. Informatica Cloud Data Integration report.
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.