Azure Data Factory vs Informatica PowerCenter comparison

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Executive Summary
Updated on Mar 14, 2022

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.

  • Ease of Deployment: Users of Azure Data Factory say that the initial setup is straightforward, easy, and fast. While most Informatica Powercenter reviewers said it was simple to deploy, some mentioned that if you will be implementing configuration and domain creation with multiple nodes, it can be time-consuming.
  • Features: Valuable features of Azure Data Factory include scalability, drag-and-drop interface, pipeline orchestration, built-in connectors, data transformations, and data copy templates. Informatica Powercenter’s most valuable features include its metadata repository, the data warehouse application console, its reliability, automated scheduling, easy integration with multiple platforms, monitoring tools, and reporting manager.
  • Pricing: While some Azure users claim that it is very expensive, most users of Azure Data Factory feel that the product is actually affordable and reasonable. Users of Informatica Powercenter consider the pricing to be on the more expensive side.

  • Service and Support: Users of Azure Data Factory have varying opinions of the service and support; Some have had really good experiences while others feel they are lacking in terms of responsiveness. In regards to Informatica Powercenter, some reviewers feel that their response time could be faster, while others consider the technical support to be just average.

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.

To learn more, read our detailed Azure Data Factory vs. Informatica PowerCenter Report (Updated: March 2024).
763,955 professionals have used our research since 2012.
Q&A Highlights
Question: How do you relate transformations available in Informatica PowerCenter with transformations or activities available in Azure Data Factory?
Answer: Informatica PowerCenter and Azure Data Factory are Data Integration tools used to extract, transform, and load data, but they have different approaches to transformations. Informatica PowerCenter uses a graphical user interface (GUI) to create transformations. These transformations are called mappings and are made up of a series of steps that are used to transform the data. Azure Data Factory uses a more code-based approach to transformations. These transformations are called activities and are written in a language called Azure Data Factory Pipelines. When comparing transformations in Informatica PowerCenter and Azure Data Factory, consider the following: Your technical expertise If you are unfamiliar with coding, you may want to choose a tool with a GUI-based approach to transformations. Your budget Informatica PowerCenter can typically be more expensive than Azure Data Factory.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The overall performance is quite good.""The solution is okay.""The most important feature is that it can help you do the multi-threading concepts.""It makes it easy to collect data from different sources.""I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management.""The most valuable feature is the copy activity.""The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability.""Azure Data Factory became more user-friendly when data-flows were introduced."

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"I like the automated scheduling feature.""Once you have learned Informatica, it is very easy to use.""Can manage a huge quantity of data and provide reliability.""The setup is very simple.""The most valuable feature of Informatica PowerCenter is data transformation and user-friendliness.""Informatica PowerCenter has good user feedback. The developers can easily make mappings in the solution.""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 interface is very clean and clear."

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Cons
"We require Azure Data Factory to be able to connect to Google Analytics.""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.""My only problem is the seamless connectivity with various other databases, for example, SAP.""If the user interface was more user friendly and there was better error feedback, it would be helpful.""You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats.""DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution.""Azure Data Factory uses many resources and has issues with parallel workflows.""Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."

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"Its interface can be modernized. It is an old product. I have been working with it for 14 years, and it still looks the same. It hasn't been modernized much. It also needs to handle more modern formats, such as JSON files. It works with the old text files and databases, but it does not always work with the newer, modern stuff. You need to make your own programs to support that kind of stuff. Support is also a kind of difficult with Informatica. They don't do direct support and rely on using their distributors around the globe for support, which means that you kind of have to go through this layer of different companies before you get help.""It would be better if I could do all the work within a single window. If I'm working on any mapping and if I have to switch to sessions, I have to open a new window altogether. If I have to get into workflows, I have to open a new window. It was also very expensive. In the next release, I would like it to be more user-friendly.""Its licensing can be improved. It should be features-wise and not bundle-wise. A bundle will definitely be costly. In addition, we might use one or two features. That's why the pricing model should be based on the features. The model should be flexible enough based on the features. Their support should also be more responsive to premium customers.""An issue which should be addressed is that the solution only allows us to do structured, as opposed to unstructured, data processing.""It would be good to recreate the entire interface to make it easier for users to build workflows.""Informatica PowerCenter could improve by having a single interface because half of the system is still in the legacy interface and many other elements are moved to the developer client. It would be good if there was a single interface for the end user and developers.""This product is going to decommission in the next couple of years.""If you want to transfer a ZIP file, it is a pain. You need to use Command-Line. Sometimes we just want to transfer a file. It should be easy to move them from A to B."

More Informatica PowerCenter Cons →

Pricing and Cost Advice
  • "In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
  • "This is a cost-effective solution."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • More Azure Data Factory Pricing and Cost Advice →

  • "We have found the pricing very cost-effective. The licensing is CPU and data source-based."
  • "Cost could be improved."
  • "Licensing is a one time cost. But maintenance costs depend on what you want, how long you need it. Maintenance is a kind of insurance. With health insurance, you don't know whether you will get sick or need to go to hospital or not but you have to have insurance. It's the same thing with support. If you have that expertise in resolving issues, if you have enough experience in your IT department, I would say you don't need the support. But in practice, they recommend you go with the support. If you want support you have to pay for it."
  • "Price-wise, it's more expensive than SSIS, but it's a better tool, so it has more features. Licensing is on a yearly basis."
  • "Its maintenance is expensive."
  • "It's much more expensive, almost three times more expensive than most other solutions."
  • "We are satisfied with the pricing."
  • "I consider this to be an expensive product."
  • More Informatica PowerCenter Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
    Top Answer:SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free… more »
    Top Answer:Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge… more »
    Top Answer:The pricing model of Informatica PowerCenter is suitable for big companies and enterprises. This is an amazing product, and it certainly does its job, however, if you are a medium or small business… more »
    Ranking
    1st
    out of 94 in Data Integration
    Views
    26,364
    Comparisons
    20,689
    Reviews
    40
    Average Words per Review
    495
    Rating
    8.0
    3rd
    out of 94 in Data Integration
    Views
    20,419
    Comparisons
    16,998
    Reviews
    30
    Average Words per Review
    472
    Rating
    7.6
    Comparisons
    Also Known As
    PowerCenter
    Learn More
    Overview

    Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

    Informatica PowerCenter is a data integration and data visualization tool. The solution works as an enterprise data integration platform that helps organizations access, transform, and integrate data from various systems. The product is designed to support companies in the full cycle of a project, from its initial rollout to critical deployments. Informatica PowerCenter allows developers and analysts to collaborate while accelerating the work process to deploy projects within days instead of months.

    The Advanced edition of the product provides an additional real-time engine which allows companies to have always-on enterprise data integration. This ensures seamless collaboration and increment of data lineage visibility and impacts analysis.

    The Premium edition of the solution offers an early warning system that detects unexpected behaviors or incorrect utilization of resources in the workflows and alerts companies in the case that these occur. This version of the product also offers automatic data validation, which ensures data accuracy and reduces testing time and expenditure of resources for by up to 90%.

    Informatica PowerCenter Features

    The product provides users with various features which allow them to execute data integration initiatives such as analytics, data warehousing, data governance, consolidation, and application migration. The features of the solution include:

    • Collaboration: Informatica PowerCenter offers role-based tools and processes which enable business self-service while benefiting from high-quality IT resources.

    • Automation: Through various automations and easy-to-use software, users can utilize graphical and codeless tools and initiate effective data integration without additional knowledge.

    • Scalability: The tool provides high scalability to users, which ensures seamless performance and minimum downtime. PowerCenter also has adaptive load balancing, pushdown optimization, and dynamic partitioning.

    • Monitoring: Through the extensive monitoring feature, the operations and governance of the solution are easily overseen by users. The tool also provides alerts that can prevent damage to the system.

    • Real-time data: Through real-time data, users can monitor applications and analytics, ensuring their efficient operation.

    • Prototyping: Informatica lets its users collaborate with information technology to prototype, profile, and validate results in a timely manner.

    • Connectivity: Users can access and integrate data from different types of sources through high-performance connectors.

    • Automated data validation testing: The product offers script-free automated and repeatable audit and validation of data.

    • Data transformation: This feature allows users to use comprehensive parsing of JSON, PDF, XML, Microsoft Office, and the Internet of Things (IoT) for non-relation data.

    • Cloud applications connectivity: The product allows for seamless connection to cloud application sources and targets.

    Informatica PowerCenter Benefits

    The benefits of using Informatica PowerCenter include:

    • The tool can work over a wide range of systems and platforms and also allows for lean integration.

    • It enhances the quality and speed of performance and optimizes the cost of the process for your organization.

    • PowerCenter supports multiple databases, including TPump, Parallel Transporter Fastload, and Teradata MLoad.

    • The tool is very easy to monitor and maintain, which simplifies the data integration process for companies.

    • The centralized error logging system allows users to locate errors in a timely manner and correct them.

    • The tool can convert data from an application to another format, as it serves as one of the most powerful data transformation solutions.

    • PowerCenter can also serve as middleware between two applications.

    • The solution offers both parallel processing and load balancing.

    • PowerCenter is a tool with a high level of security, which also minimizes essential administration activities.

    • The solution ensures the quality of information, as it does not allow invalid or unwanted data to be uploaded to the source.

    Reviews from Real Users

    Yahya T., a developer and architect at L'Oreal, says the product is stable, provides good support, and integrating it with other systems is very fast.

    Mohamed E., a senior manager for Data management and data governance at a tech company, says PowerCenter is stable, mature, and offers flexibility in building the pipeline and has a drag-and-drop mode because it's GUI-based; technical support is brilliant.

    Sample Customers
    1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
    University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
    Top Industries
    REVIEWERS
    Computer Software Company33%
    Insurance Company12%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    REVIEWERS
    Computer Software Company22%
    Financial Services Firm20%
    Retailer7%
    Insurance Company7%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Manufacturing Company8%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business28%
    Midsize Enterprise20%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    Azure Data Factory vs. Informatica PowerCenter
    March 2024
    Find out what your peers are saying about Azure Data Factory vs. Informatica PowerCenter and other solutions. Updated: March 2024.
    763,955 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 40 reviews while Informatica PowerCenter is ranked 3rd in Data Integration with 30 reviews. Azure Data Factory is rated 8.0, while Informatica PowerCenter is rated 8.0. The top reviewer of Azure Data Factory writes "The good, the bad and the lots of ugly". 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 Alteryx Designer, Informatica Cloud Data Integration, 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.

    See our list of best Data Integration vendors.

    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.