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
Microsoft Power Automate
Score 8.3 out of 10
N/A
Microsoft Power Automate is an advanced automation platform offering a range of features, including AI-powered automation, robotic process automation (RPA), business process automation (BPA), digital process automation (DPA), and process/task mining. The platform aims to empower organizations to securely automate their operations at scale by leveraging low-code and AI technologies.
$15
per month per user
Pricing
Azure Data Factory
Microsoft Power Automate
Editions & Modules
No answers on this topic
Power Automate Premium
$15
per month per user
Power Automate Process
$150
per month per bot
Hosted RPA add-on
$215
per month per bot
Process Mining add-on
$5,000
per month per tenant
Offerings
Pricing Offerings
Azure Data Factory
Microsoft Power Automate
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
—
More Pricing Information
Community Pulse
Azure Data Factory
Microsoft Power Automate
Features
Azure Data Factory
Microsoft Power Automate
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
Microsoft Power Automate
-
Ratings
Connect to traditional data sources
9.010 Ratings
00 Ratings
Connecto to Big Data and NoSQL
8.010 Ratings
00 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
Microsoft Power Automate
-
Ratings
Simple transformations
8.710 Ratings
00 Ratings
Complex transformations
7.010 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
6.3
10 Ratings
21% below category average
Microsoft Power Automate
-
Ratings
Data model creation
4.57 Ratings
00 Ratings
Metadata management
5.58 Ratings
00 Ratings
Business rules and workflow
6.010 Ratings
00 Ratings
Collaboration
7.09 Ratings
00 Ratings
Testing and debugging
6.310 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
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.
I am using Power Automate in my organisation to automate workflows for updating SharePoint list data and sending emails, and for scheduling tasks and jobs, as well as for integrating with third-party apps such as SAP, Power Apps, and SQL for CRUD Operations.
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
The tool is very useful when used with its various native connectors, taking great advantage of the integration between the components and systems of the Office365 universe. However, its cost is still high, and automation using more advanced components containing AI resources becomes unfeasible for some companies. Due to the financial crisis that many companies are currently experiencing, investment in automation systems or tools is taking a back seat.
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.
Power Automate features a clean and intuitive user interface that allows users to create, manage, and monitor workflows easily. The UI is designed to be accessible to both technical and non-technical users, with drag-and-drop functionality for building workflows. Power Automate supports integration with a wide range of Microsoft and third-party applications. This flexibility in integration allows users to automate workflows across various systems, enhancing overall productivity and efficiency.
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
both Community support and Microsoft official support typically respond to (and resolve) reported issues in a VERY expedient manner, usually going above and beyond for education and bugfixing. I have been thoroughly impressed with the level of support I had been provided in the past.
after reviewing the main features of Power Automate, the Microsoft trainer focused on some of our real life use cases implementation, from simple to more advanced.
although it was productive, it is more difficult to stay focused and in a 7 hours a day online training (including screen share issues and the fact that the trainer just can't precisely show the exact location of your mistake)
I was part of the migration of classic SharePoint workflows and Nintex workflows. We didn't spend much time learning the new platform because of its user-friendly interface and intuitive drag-and-drop functionality. We have mostly O365 E1 and E3 licensed users, so they can participate in our Citizen Development program and utilize Power Automate to build day-to-day business processes.
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.
Microsoft Power Automate is worlds ahead of Zapier in so many ways. The looping, DOM access, and flow controls are much better. I feel that accessing different data within previous connectors used in a flow is much easier in Microsoft Power Automate as well. The custom connector creation process is a lot more pleasant in Microsoft Power Automate. The DateTime data type is handles MUCH better in Microsoft Power Automate, which is reason enough to use it.
Microsoft's professional services provide hands-on support throughout the implementation lifecycle of Power Automate.This includes initial setup, configuration, integration with existing systems, testing, and deployment. They ensure that workflows are correctly designed, optimized for performance, and aligned with security best practices.
You can automate a lot of process very easy like automatic mails for status updates and such. This will save a lot of time and is more accurate, faster and up-to-date than a user can be.
Task approval is centralized and automatic reminders save us a lot of time.
The ROI is good if you have a lot of use cases and things to automate