Azure Data Factory vs. Power Apps

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Factory
Score 8.2 out of 10
N/A
Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.N/A
Power Apps
Score 7.9 out of 10
N/A
PowerApps is a low code / rapid application development product from Microsoft that allows users to quickly build apps.
$20
per month per user
Pricing
Azure Data FactoryPower Apps
Editions & Modules
No answers on this topic
Power Apps Premium
$20
per month per user
Offerings
Pricing Offerings
Azure Data FactoryPower Apps
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure Data FactoryPower Apps
Features
Azure Data FactoryPower Apps
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
8.5
10 Ratings
3% above category average
Power Apps
-
Ratings
Connect to traditional data sources9.010 Ratings00 Ratings
Connecto to Big Data and NoSQL8.010 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
7.8
10 Ratings
3% below category average
Power Apps
-
Ratings
Simple transformations8.710 Ratings00 Ratings
Complex transformations7.010 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
6.3
10 Ratings
22% below category average
Power Apps
-
Ratings
Data model creation4.57 Ratings00 Ratings
Metadata management5.58 Ratings00 Ratings
Business rules and workflow6.010 Ratings00 Ratings
Collaboration7.09 Ratings00 Ratings
Testing and debugging6.310 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Data Factory
5.7
10 Ratings
33% below category average
Power Apps
-
Ratings
Integration with data quality tools4.310 Ratings00 Ratings
Integration with MDM tools7.09 Ratings00 Ratings
Low-Code Development
Comparison of Low-Code Development features of Product A and Product B
Azure Data Factory
-
Ratings
Power Apps
8.0
24 Ratings
5% below category average
Visual Modeling00 Ratings8.122 Ratings
Drag-and-drop Interfaces00 Ratings7.823 Ratings
Platform Security00 Ratings8.723 Ratings
Platform User Management00 Ratings8.123 Ratings
Reusability00 Ratings7.423 Ratings
Platform Scalability00 Ratings7.622 Ratings
Best Alternatives
Azure Data FactoryPower Apps
Small Businesses
Skyvia
Skyvia
Score 10.0 out of 10
Creatio
Creatio
Score 9.1 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Quixy
Quixy
Score 9.9 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Creatio
Creatio
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data FactoryPower Apps
Likelihood to Recommend
9.0
(7 ratings)
9.2
(23 ratings)
Usability
8.0
(1 ratings)
9.0
(4 ratings)
Support Rating
7.0
(1 ratings)
9.7
(6 ratings)
User Testimonials
Azure Data FactoryPower Apps
Likelihood to Recommend
Microsoft
Best scenario is for ETL process. The flexibility and connectivity is outstanding. For our environment, SAP data connectivity with Azure Data Factory offers very limited features compared to SAP Data Sphere. Due to the limited modelling capacity of the tool, we use Databricks for data modelling and cleaning. Usage of multiple tools could have been avoided if adf has modelling capabilities.
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Microsoft
Power Apps is ideal for scenarios that are neither too complex nor too large. It is easy to begin development in Power Apps, as it is one of the best tools for low-code development. Power Apps can be implemented for complex scenarios as well, provided there is strong knowledge of the tool and ample time for planning. Our applications benefit from Power Apps' cross-platform support, making it easy to use on any device, including desktops, laptops, and mobile devices.
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Pros
Microsoft
  • Data Ingestion - it works very well with numerous data sources.
  • Data pipeline orchestration: It is a generic, popular tool for orchestrating data pipelines.
  • Works well in Azure ecosystem, Azure services and data platforms like Databricks.
  • It is a serverless and scalable solution for cloud data integration.
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Microsoft
  • Power Apps has formats that are pre-built that don't require any coding which makes it easier to achieve your vision. This does become a challenge if your App needs don't fit into that format.
  • We deal with a ton of data so the fact that you can connect to any data source in addition to their pre-stablished data connections makes the process a breeze.
  • The online learning resources and tutorials are helpful as well for those who are tech savvy.
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Cons
Microsoft
  • Granularity of Errors: Sometimes, Azure Data Factory provides error messages that are too generic or vague for us, making it challenging to pinpoint the exact cause of a pipeline failure. Enhanced error messages with more actionable details would greatly assist us as users in debugging their pipelines.
  • Pipeline Design UI: In my experience, the visual interface for designing pipelines, especially when dealing with complex workflows or numerous activities, can become cluttered. I think a more intuitive and scalable design interface would improve usability. In my opinion, features like zoom, better alignment tools, or grouping capabilities could make managing intricate designs more manageable.
  • Native Support: While Azure Data Factory does support incremental data loads, in my experience, the setup can be somewhat manual and complex. I think native and more straightforward support for Change Data Capture, especially from popular databases, would simplify the process of capturing and processing only the changed data, making regular data updates more efficient
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Microsoft
  • Sometimes the cost of solutions is greater than the benefit. Licensing is expensive relative to the scope of some business user-created personal or team-level solutions.
  • While there is a starter-kit for Governance, it is complicated to stand up and requires dedicated resources to provide on-going governance operations. Many organizations are not going to be able to dedicate resources to governance and this causes the sprawl, solution duplication, silos, unneeded and unplanned licensing expenses, and a general "wild wild west" environment.
  • There needs to be better direction and best practices given around Power Platform Environment utilization and optimization.
  • The accessibility to the platform and ease for business partners to independantly create solutions is both a benefit and a negative. When the business outcome needed is a good fit for PowerApps it is a quick win, but when not a good fit it becomes a frustration for the business partner attempting to make the platform do something it is not well-suited for. The business partner entangles tech teams in the effort which drains resources and provides a lack-luster solution. All of this to say, it would be beneficial to have some tools that business partners could leverage to determine\understand if the type of business outcome they need is well suited to PowerApps or not.
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Usability
Microsoft
So far product has performed as expected. We were noticing some performance issues, but they were largely Synapse related. This has led to a shift from Synapse to Databricks. Overall this has delayed our analytic platform. Once databricks becomes fully operational, Azure Data Factory will be critical to our environment and future success.
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Microsoft
PowerApps is a great solution and I have spent the last year familiarizing myself with the platform and building custom applications to complete a whole range of tasks such as asset management, custom invoice generation, and item restriction tracking. We as a company have barely begun to scratch the surface of what can be achieved with PowerApps.
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Support Rating
Microsoft
We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
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Microsoft
The community forums are extremely responsive to questions asked, there is a good body of online documentation and many community posts to draw from. Although the platform has changed, which means some of the posts are out of date and the solutions provided aren't relevant. Of relevance, I read over 400 articles plus documentation to get this first app built in SharePoint, move it to SQL and make it work exactly the way it should.
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Alternatives Considered
Microsoft
Azure Data Factory helps us automate to schedule jobs as per customer demands to make ETL triggers when the need arises. Anyone can define the workflow with the Azure Data Factory UI designer tool and easily test the systems. It helped us automate the same workflow with programming languages like Python or automation tools like ansible. Numerous options for connectivity be it a database or storage account helps us move data transfer to the cloud or on-premise systems.
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Microsoft
1. PowerApps functionality comes with E1 over E3 License without adding extra costs 2. For Nintex you pay (at the beginning) for each workflow, so my intention would be, to do no workflows to prevent additional costs, but I want a platform with a fair price that allows me to create workflows without thinking about the price for each workflow and we use only some workflow and relative easy workflows and forms as a medium-sized company. 3. PowerApps provides a lot of functionality without needing to invest in premium features directly.
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Return on Investment
Microsoft
  • Facilitate better decision-making and improve business processes.
  • Optimize business process outcomes by increasing internal efficiency and operational effectiveness.
  • Boosts revenue growth while improving business process agility.
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Microsoft
  • Automation of manual processes brings an ROI on labor costs.
  • Intake of data provides clean database design.
  • Connectivity to data-lake provides insights and trends into the data.
  • Able to scale operations with efficiencies provided by the app.
  • Can mature the process and workflows to do more.
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ScreenShots