Azure Data Factory makes it much easier to build and manage data integration workflows in the cloud. The visual pipeline designer is intuitive and allows you to create complex data workflows without writing large amounts of code. It supports a wide variety of data sources and destinations, which makes integrating systems across databases, storage accounts, APIs, and SaaS platforms very straightforward.

Another strong point is the scalability and reliability of the platform. Data pipelines can handle large volumes of data, and scheduling or triggering pipelines based on events is easy to configure. The integration with other Azure services like Azure Storage, Synapse, and monitoring tools also makes it a strong component of a modern data platform. Review collected by and hosted on G2.com.

Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly. Review collected by and hosted on G2.com.