Azure Data Factory vs. Huawei Cloud Network Virtual Private Cloud (VPC)

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

I honestly believe that it is well suited for companies, whose sole requirement is robust accessibility. Since the training part for admin takes a lot of time, I feel that it might not be suitable for small companies who are still looking to grow. Also, the product sometimes faces scaling issues and I feel like it might not be appropriate for smaller companies as they might look to expand in the future.

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

• Isolated private networks on the cloud
• Two-way migration feature
• Flexible network deployment

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

• It's a little tricky to use, you will need training for maintenance
• UI can be changed a bit in order to make it more user-friendly
• Sometimes has scaling issues

Incentivized

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

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

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'd like to point out that Huawei Cloud Network Virtual Private Cloud (VPC) is very simple to use and operate, and we can easily perform operations on it using the documents that are available on its support site. We can easily download the documents from the site, which are very useful for doing any configuration on the cloud and for operations.The security level is very good; enabling traffic and defining security rules is extremely simple utilizing their cloud portal in GUI form, which makes it simple to use, and the performance is also good; they provide a variety of solutions to meet customer needs.

Incentivized

• 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

• Solved a huge issue of accessibility from different geographical zones
• Since it was cheaper than the current one, this business decision did save some costs
• Helped solving concurrent transaction saving issues

Incentivized