We performed a comparison between Azure Data Factory and Informatica Powercenter based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Based on the parameters we compared, Azure Data Factory and Informatica Powercenter are very comparable to one another. Overall, PeerSpot users found that both solutions have helpful features. However, users found Informatica Powercenter to be more expensive than Azure Data Factory.
"I like that it's a monolithic data platform. This is why we propose these solutions."
"The flexibility that Azure Data Factory offers is great."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"The security of the agent that is installed on-premises is very good."
"The solution is okay."
"The solution has a good interface and the integration with GitHub is very useful."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"We have found the bulk load feature very valuable."
"The number of docs has been reduced drastically, which is very good."
"Technical support, and their approach is good. They have a support portal and support tickets. If you open a ticket it has multiple levels of severity from level one to very high or critical."
"Good interface, reasonable documentation."
"The greatest feature is that it is very easy to have someone come in and jump right in. It is one of the nicest tools in terms of getting a person acquainted quickly."
"The most complex task, in this case, was to read and transform BLOB data, and Java transformation in Informatica Power Center was a great solution."
"Good product if you are trying implement data quality, data integration, and data management projects."
"Informatica PowerCenter is very good for integrating a huge amount of data in a very short duration, such as a minute. It is also very easy to use. After you provide the source and the target, mappings are automatically done, which makes it easy to use for the development team."
"The most valuable aspects of Informatica PowerCenter are the many features, ease of use, and user-friendliness."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"The support and the documentation can be improved."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"Lacks in-built streaming data processing."
"The solution needs to be more connectable to its own services."
"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."
"Data Factory's monitorability could be better."
"The multiple interfaces in Informatica PowerCenter are not great for the user experience. Because of this, I think it can cause confusion for any beginner developer."
"Informatica, in my opinion, is very rigid and not very flexible, whereas platforms like Alteryx or Matillion are very flexible and agile."
"The solution does not scale."
"There is a need to buy a separate license if one wishes to connect with some kind of SAP system, such as SalesForce."
"What needs improvement in Informatica PowerCenter is the cloud experience because, nowadays, other companies, such as AWS, Azure, and Google, have more experience in the cloud. The pricing for Informatica PowerCenter on the cloud is also very expensive for customers, so some customers prefer open-source tools or lower-priced tools, such as Azure. From my point of view, Informatica must work on the pricing policy and review the policy on the cloud for Informatica PowerCenter or propose more tools with lower pricing. Clients want the automatic integration of Informatica PowerCenter with other tools. Currently, the integration process is manual, and you have to add other tools to facilitate the integration, especially with the DevOps methodology. You need scripts and tools for the integration, and you'll need to use other integration tools if you want automatic deployment for Informatica PowerCenter, so this is another area for improvement in the solution. What I'd like to see in the next release of the solution is for the integration with APIs to be simpler, because currently, the API integration feature of Informatica PowerCenter is very difficult. It's not intuitive. You have to facilitate API integration and the real-time streaming of messages in Kafka, for example, so that should be improved."
"I found it is kind of weird that not all of the mapping changes are treated as true changes."
"I would like to see an improvement in the digital adoption."
"The solution's commercial cost is very high. Other open-source tools can do the tool's functions for free. The world is moving to the cloud, but the solution hasn't updated its drivers. I presume that its downfall will start soon. The tool is trying to cross-sell or upsell without helping customers derive benefits from the existing products. They have multiple tools and licenses. It is better to bring the smaller tools in one umbrella."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. Azure Data Factory is rated 8.0, while Informatica PowerCenter is rated 8.0. 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 PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". Azure Data Factory is most compared with Informatica Cloud Data Integration, Alteryx Designer, Snowflake, Microsoft Azure Synapse Analytics and IBM InfoSphere DataStage, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, SSIS, Databricks, AWS Glue and Informatica PowerExchange. See our Azure Data Factory vs. Informatica PowerCenter report.
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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.
