Azure Data Factory vs. SAP Data Services

In a data pipeline, you will be able to add different kinds of activities for example connect from your on-premise SFTP and move CSV files to storage accounts. As well data factory has its own data flow if you are an ETL developer who experimented with maybe you have worked with SSIS, thus, you will start quickly with this new feature of the data factory.

Incentivized

SAP Data Services is a data integration and transformation software application. It allows users to develop and execute workflows that take data from predefined sources called data stores (applications, Web services, flat-files, databases, etc.)

Incentivized

• Creating ETL and ELT workflows as well as orchestrating and monitoring pipelines without writing any code.
• Hybrid data integration is easily and agilely possible through this software.
• It has lot of various useful components

Incentivized

• Extracting data from various types of data sources
• Transforming data using joins, functions, look ups, etc.
• Loading data into different kinds of targets

Incentivized

• Learning curve for pipeline creation interface.
• Alerting isn't necessarily built in. Had to work around this to meet team needs.
• With GIT enabled, some features can only be done via git, while some need to be done via the portal.

Incentivized

• New connectivity options for cloud solutions must be added.
• Avoid dependency from flash in Information Steward scorecard.
• More connectivity options for hadoop distributions.

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

As other SAP products, there is excellent support by SAP on this tool. You can access the SAP Help portal in order to give support either from the huge community or directly from SAP.

Incentivized

Azure Data Factory fits well into our overall systems architecture where we already utilize largely Azure services and also Microsoft based products in the on-premises environment. I think cost structure is also very competitive with Azure Data Factory. Most services provide a visual interface for designing ETL workflows, but our team found Azure Data Factory's interface more intuitive.

Incentivized

SAP Data Services is better at integration with other SAP products and data sources with native HANA connectors. There are also accelerators to consider when looking at it as a data migration tool for SAP implementations.

Incentivized

• Limiting the amount of data moving up and down from the cloud for cloud-native applications.
• Overall simple to use interface which is actually easier for a first time ETL developer than SSIS.

Incentivized

• DS has had a very positive impact by reducing deployment times for SAP and has provided ability to deploy multiple sites at the same time.
• Ongoing master data creation/migration benefits significantly from DS, and it's easy to stand up a new business unit.
• Data accuracy improved and manual inspections are minimal.

Incentivized