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.
"It's extremely consistent."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"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."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"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."
"The data copy template is a valuable feature."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"Informatica Cloud Data Integration is stable."
"It is quite easy to use and flexible."
"Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors."
"The support is very good."
"It has become an easy way to exchange information through any cloud application."
"The product is scalable and excellent for enterprise-level organizations."
"Informatica Cloud Data Integration is stable."
"It is one of the best tools available for data integration."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."
"The pricing model should be more transparent and available online."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"Data Factory's performance during heavy data processing isn't great."
"Azure Data Factory's pricing in terms of utilization could be improved."
"The deployment should be easier."
"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."
"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."
"The vendor should have more training resources: online classes, free tutorial videos, etc."
"I would also like to have profiling functionalities and quality transformations in the cloud."
"Certain shortcomings in the product's UI make it an area where improvements are required."
"Its features for partitioning and optimization could be better."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"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."
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 SAP Data Services. 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.
