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.
"The most valuable feature of this solution would be ease of use."
"The best part of this product is the extraction, transformation, and load."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"Allows more data between on-premises and cloud solutions"
"The trigger scheduling options are decently robust."
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"This solution has provided us with an easier, and more efficient way to carry out data migration 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."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"REST API: Excellent for scripting control and reporting mechanisms"
"The user interface which is very easy to use if we have any problems to solve."
"The product is scalable and excellent for enterprise-level organizations."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"I like the fact that you can find almost any product connection that you need and the list is always expanding."
"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."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"The number of standard adaptors could be extended further."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"It can improve from the perspective of active logging. It can provide active logging information."
"The setup and configuration process could be simplified."
"We have experienced some issues with the integration. This is an area that needs improvement."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"The vendor should have more training resources: online classes, free tutorial videos, etc."
"Informatica Cloud Data Integration could improve the price by making it less expensive."
"The integration process is not easy."
"Certain applications are not being synced with the ION."
"With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues."
"The cloud version could be better in terms of pricing."
"There may be some types of limitations with the performance."
More Informatica Cloud Data Integration Pricing and Cost Advice →
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.