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.
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"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 use the solution to move data from on-premises to the cloud."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"It is beneficial that the solution is written with Spark as the back end."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"It is a complete ETL Solution."
"The program is stable and scalable."
"The most valuable feature is the building of mockups and tasks."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."
"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"The product improves data quality."
"Informatica Cloud Data Integration is stable."
"The solution's initial setup is quite straightforward."
"The initial setup is not very straightforward."
"There are limitations when processing more than one GD file."
"It would be better if it had machine learning capabilities."
"The Microsoft documentation is too complicated."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"Data Factory's monitorability could be better."
"The current features are a bit complicated, and we need to write big scripts and test."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"Connectivity could be improved, it can be a little slow."
"The cloud version could be better in terms of pricing."
"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."
"Informatica Cloud Data Integration could improve the price by making it less expensive."
"We would like to have accessibility to the repository."
"Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them."
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 Microsoft Azure Synapse Analytics, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, AWS Glue, Fivetran, Mule Anypoint Platform and IBM Cloud Pak for Data. 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.
