"The initial setup is very quick and easy."
"The security of the agent that is installed on-premises is very good."
"The best part of this product is the extraction, transformation, and load."
"The solution can scale very easily."
"Its integrability with the rest of the activities on Azure is most valuable."
"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."
"It is easy to integrate."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"The mass ingestion functionality and the elasticity of the solution are great."
"Whether we need data cleansing or data mastering, we get it all in one platform."
"The solution's initial setup is quite straightforward."
"The user interface which is very easy to use if we have any problems to solve."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"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."
"It can improve from the perspective of active logging. It can provide active logging information."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"The support and the documentation can be improved."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"The speed and performance need to be improved."
"I would like to see support for more data sources."
"There may be some types of limitations with the performance."
"A general improvement in icons and the virtual interface would be good."
"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."
"The price modeling could be more flexible."
"Connectivity could be improved, it can be a little slow."
Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.
Azure Data Factory is ranked 2nd in Data Integration Tools with 21 reviews while Informatica Cloud Data Integration is ranked 2nd in Cloud Data Integration with 6 reviews. Azure Data Factory is rated 7.6, while Informatica Cloud Data Integration is rated 7.8. The top reviewer of Azure Data Factory writes "Easy to bring in outside capabilities, flexible, and works well". On the other hand, the top reviewer of Informatica Cloud Data Integration writes "Flexible licensing, good connectors, and timely upgrades and patches". Azure Data Factory is most compared with Informatica PowerCenter, Talend Open Studio, Palantir Foundry, Alteryx Designer and SAP Data Services, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, AWS Glue, Mule Anypoint Platform, Matillion ETL and Oracle Integration Cloud Service.
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