

SAP Data Services and Azure Data Factory are contenders in data integration and transformation. Azure Data Factory seems to have an advantage due to its cloud-native architecture and scalability, appealing to diverse environments.
Features: SAP Data Services is known for its robust ETL functionality, prioritizing connectivity with SAP and non-SAP applications. It emphasizes data quality and integration, making it suitable for SAP ecosystems with strong data migration and cleansing capabilities. Azure Data Factory offers scalability and a diverse connector ecosystem, enabling seamless integration across Azure services and third-party systems. Its intuitive development process and ability to handle data from multiple sources are appreciated by users.
Room for Improvement: SAP Data Services could improve its integration with non-SAP environments along with its handling of big data and real-time analytics. Users have reported issues with error logging, version consistency, and transformation complexities. Azure Data Factory's documentation, pricing transparency, and real-time data processing could be enhanced. Users also suggest better integration with on-premise environments and more intuitive UI improvements.
Ease of Deployment and Customer Service: SAP Data Services primarily offers an on-premises deployment model, limiting flexibility for cloud adoption. Users have mixed feelings about its technical support. Azure Data Factory, being cloud-based, provides flexibility in public, private, and hybrid environments. It benefits from seamless updates and scalability but faces concerns regarding customer service responsiveness and support efficiency.
Pricing and ROI: SAP Data Services is generally a pricier option with high ROI in SAP-centric scenarios. Its licensing reflects its comprehensive feature set. Azure Data Factory's pay-as-you-go model is cost-effective for businesses of all sizes. While estimating initial costs can be challenging, its value is evident in reduced data integration costs and improved operational efficiency, making it a preferred choice for businesses leveraging multiple Azure services.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
If you keep a high priority issue, such as a production impact, they certainly come and address it in no time.
The level three support is better because they know what they are doing.
Azure Data Factory is highly scalable.
If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.
The solution has a high level of stability, roughly a nine out of ten.
I would rate the stability of SAP Data Services as very stable, a ten.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
There is a problem with the integration with third-party solutions, particularly with SAP.
Now, they are coming up with many pricing options, which is tricky; they offer one thing for free, but charge for nine others.
SAP Data Services does handle integration with third-party systems.
The documentation is not up to the mark.
The pricing is cost-effective.
It is considered cost-effective.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
SAP Data Services is mainly used for extraction of data, and it works with all databases.
It remains a fast data-moving tool, faster than most new ones.
| Product | Market Share (%) |
|---|---|
| Azure Data Factory | 3.2% |
| SAP Data Services | 1.5% |
| Other | 95.3% |

| Company Size | Count |
|---|---|
| Small Business | 31 |
| Midsize Enterprise | 19 |
| Large Enterprise | 57 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 5 |
| Large Enterprise | 36 |
Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
SAP Data Services is a top-ranking data integration and data quality tool. This is a product that aims to provide its users with effective access to their data in order to transform it and connect it to various business processes. SAP Data Services offers companies detailed data insights which improve decision-making and make company operations more effective.
Organizations can increase the value of their structured and unstructured data with the functionalities of this product regarding data integration, quality, and cleansing. Through various components such as:
the product transforms data into a ready-to-use resource for business insights.
Some of the key components of SAP Data Services include:
Through these components, the product allows its clients to access and integrate data sources and targets with native connectors. Users can derive meaning from unstructured text data, match data to reduce duplicates, and see the impact of data quality issues. The tool also offers the option to enable parallel processing, bulk data loading, and grid computing for high-volume data loads.
SAP Data Services Features
The solution has different features for data integration, data quality, data profiling, and processing of text data. Using these features, clients can manage their company's data easily and achieve excellent results by optimizing it. Some of the product’s features include:
SAP Data Services Benefits
This solution offers various benefits to its clients regarding the efficient operation of their data. The key benefits of SAP Data Services include:
Reviews from Real Users
According to Michael Lutz, senior data warehouse developer at Fox Chase Cancer Center, SAP Data Services is a powerful tool that does a lot.
An associate consultant at a consultancy says the tool is easy to use, simple to implement, and offers very good mapping capabilities.
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