Microsoft Azure Data Factory

What differentiates Microsoft Azure Data Factory from other similar products?

Its security features, integration method/approach, and components used in tool differentiates ADF from other tools. Basically, Microsoft always focuses to maintain customers integrity, that's a good business logic in IT industry.

What is your favorite aspect of this product?

I like Azure Data Factory's objects maintenance to use in future pipelines. Linked Services, Integration Runtime, Datasets, and Data Flows are very helpful to maintain in single place and can be reused in other pipelines.

What do you dislike most about this product?

'One thing I'm getting frustrated in ADF is its high technical words usage in console, basically everyone is a new user in new platform so on that time seeing high technical language in configuration making users panic and as well as frustration. So, improving this would increase the rating in UI is my advice to Microsoft.

What recommendations would you give to someone considering this product?

If someone looking for an ETL Tool with high integrity and multi-tenant feature, I would suggest them ADF. And I believe that the user will not regret for the decision to buy ADF. Because it's had lot of features with various integration sources and well-maintained documentation support for learning the technical usage will help users to get hands on quickly.

What differentiates Microsoft Azure Data Factory from other similar products?

Unlike many other ETL tools, ADF supports hybrid data environments, allowing data movement across on-premises systems and the cloud without requiring complex setup and It supports large-scale, geographically distributed data integration and transformation, a feature critical for multinational companies and provide flexible, scalable, and integrated solution for data movement and transformation, especially for businesses operating within the Azure ecosystem. Its hybrid capabilities, ease of use, and cost efficiency.

What is your favorite aspect of this product?

One of the standout features of Microsoft Azure Data Factory is its robust data integration capabilities, particularly its ability to orchestrate complex data workflows seamlessly. The visual interface, combined with a rich set of pre-built connectors, allows users to easily create, manage, and monitor data pipelines, making it accessible for both technical and non-technical users.

What do you dislike most about this product?

Users have reported difficulty in tracing errors or understanding the root causes of issues within complex pipelines, making troubleshooting time-consuming.

What recommendations would you give to someone considering this product?

Leverage Azure Data Factory's seamless integration with other Azure services, like Azure Synapse Analytics, Azure Machine Learning, and Power BI, to create a cohesive data ecosystem. and monitor your usage to keep costs under control, as Azure Data Factory pricing can vary based on data movement and transformation activities

What differentiates Microsoft Azure Data Factory from other similar products?

Seamless integration with the Azure ecosystem enables code-free data integration, along with pipeline orchestration and scheduling. It also includes robust monitoring and management features, supports various types of integration runtimes, and operates on a pay-as-you-go pricing model.

What is your favorite aspect of this product?

Developemnt of data pipelines with code free environment, Scheduling monitoring pipeline is easy and seamless

What do you dislike most about this product?

Not for now, its 100% fits to my work

What recommendations would you give to someone considering this product?

If you are looking for Cloud Data integration Azure Data Faactory is best for you with pricing and features.