Azure Data Factory vs. ibi Data Migrator vs. Microsoft Power Automate

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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Very useful RPA tools for automating processes with minimal coding and drag-and-drop functionality, with a wide variety of triggers, including scheduled time-based triggers and activity-based triggers, such as modifying a file/list in SharePoint to run a Power Automate flow. Very easy-to-use UI with native integration with every Microsoft product, and a very low automation failure rate for deployed workflows.

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• 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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• Sending confirmation email to clients and user once the flow is triggered.
• Fetching or Dumping files from one location to another if the flow is triggered.
• Schedule flow helps to send alerts and triggers the flow at a specific interval of time to carry out the required task.
• Power Automate also be used to convert any file format to a specific file format and save it to the required location

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• 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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• Steep learning curve.
• It can be slow to develop simple solutions compared to other automation platforms such as Smarsheet.
• Troubleshooting and developing can be frustrating without proper access to edit the code directly.
• Only able to edit through the GUI and with expressions.
• Many ways to do the same thing can be frustrating when you need to rework your flow.

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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.

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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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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.

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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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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.

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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.

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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)

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Overall, our experience implementing Microsoft Power Automate has been positive, with a relatively low barrier to entry and a fast time-to-value—especially because it integrates natively with Microsoft 365, which we were already using extensively. With Respect to migration, I had a very good experience where existing workflows were reviewed and simplified. Unnecessary steps were removed. Business rules were reimplemented using Power Automate logic. We migrated Approval workflows, email-based notifications, SharePoint-centric processes, and simple integrations.

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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 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.

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I have not done any participations

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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.

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• 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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• 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

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