Azure Data Factory vs. OutSystems

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.

Incentivized

Well suited for internal exposure of business processes (invoicing, API layer to other systems, customer maintenance etc), whether a UI is required or not. Not so well suited for full fledged web design. An OutSystems application must serve one particular business need, if gets too much functionalities and responsibilities it tends to get chaotic and complex.

Incentivized

• 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.

Incentivized

• Developing end user interfaces with ease and speed with a modern look and feel.
• First class low code development to reduce time to market with visual programming
• Their technical support team is fast and responsive. We've yet to have any issues they could not resolve.

Incentivized

• 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

Incentivized

• Price – The licensing model of OutSystems is very expensive and not suitable for small scale developments. This is offset by the time to develop and stability for larger scale developments
• Flexibility on PaaS version – The PaaS hosted version of OutSystems limits your flexibility to access the front end and backend database systems which can significantly restrict your options on high data volume developments or where anything requiring slightly out of the ordinary access is required
• Same price for PaaS and self-hosted system. Licensing model dictates that you pay the same price even when you host the system on your own hardware which effectively means you pay more to manage the infrastructure yourself

Incentivized

We are very happy with OutSystems and our developers deliver good work. OutSystems lets us build new software on a regulare (2 weekly) basis, which is highly flexible and adjustable. Even without very much experience, our developers manage to build usefull software, which is working a lot better than our previous (legacy) software.

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.

Incentivized

OutSystems has a feature in which we can develop a functionality in a application and can use that functionality in another application without developing it again. That is main plus point for the development team so they can work with different functionalities rather focusing on the same thing again and again. if we want to make any change on the user side then we can make it live with just the deployment using the service center.

Incentivized

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

Incentivized

The tech support is very reachable. Usually by [email] from but also by phone if needed. We had some difficulties at the start with understanding "what our machine was doing" under high performance load. After some good sessions understanding our needs they delivered good solutions for our problems we had in the beginning.

Excellent material full of hands on that improve the understanding of the platform.

The online training material is well designed and explanations are step by step, helping trainees to understand and follow each exercise and new concept.

In a large company, patiently and consistently work the behind the scenes politics with business and IT partners across the firm.
This is transformational - you will need a solid set of key business partners to lock arms together to move forward.

Incentivized

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.

Incentivized

I tried to use WordPress with some success. Also looked at Joomla. But when I saw OutSystems I knew I had been wasting my time there. It takes you longer to get going with OutSystems - but even I as a novice realized immediately that Outsystems is simply in another league. Outsystems is powerful. (Can you compare WordPress and Joomla to Outsystems - I don't think so).

• 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.

Incentivized

• The ease of use of the OutSystems development process has been the biggest ROI for us. We have developed our Framework product and maintained/enhanced it with only 4 workers.
• OutSystems has enhanced their product very significantly over the last 4 years. They have gone from a simple to use tool to a very simple to use sophisticated tool that covers the standard mainframe-based computing apps and the apps used on handheld mobile devices all using the same basic set of development tools.

Incentivized