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 features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"Powerful but easy-to-use and intuitive."
"The most valuable feature is the copy activity."
"Allows more data between on-premises and cloud solutions"
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"It's extremely consistent."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic."
"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."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."
"The product is scalable and excellent for enterprise-level organizations."
"Whether we need data cleansing or data mastering, we get it all in one platform."
"Data synchronization tasks."
"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 initial setup is not very straightforward."
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."
"We have experienced some issues with the integration. This is an area that needs improvement."
"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."
"Data Factory's monitorability could be better."
"There are limitations when processing more than one GD file."
"The Microsoft documentation is too complicated."
"Azure Data Factory's pricing in terms of utilization could be improved."
"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"The vendor should have more training resources: online classes, free tutorial videos, etc."
"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."
"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."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"There may be some types of limitations with the performance."
"Its pricing model can be improved. The response time from technical support can also be improved."
"The current features are a bit complicated, and we need to write big scripts and test."
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.
