We performed a comparison between Azure Data Factory and SAP NetWeaver Business Warehouse based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It is easy to deploy workflows and schedule jobs."
"The scalability of the product is impressive."
"It is easy to integrate."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"Powerful but easy-to-use and intuitive."
"A robust and efficient product."
"Transformation is a valuable feature of SAP NetWeaver. I can transform the data as per my needs or my client's needs. For example, flat tables can be transformed with respect to our requirements to combine multiple modules into one single table, and we can derive analytics."
"It provides us with proof of data, we can centralize all of the information, check it, and then provide the information to our users."
"It's an excellent over-all tool for managers to analyze their business."
"The security and audit procedures are the most valuable features."
"It is a robust system."
"Data modeling is a valuable feature."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The pricing scheme is very complex and difficult to understand."
"Data Factory's performance during heavy data processing isn't great."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"Design and modeling could be simplified."
"The product could provide more features."
"It is difficult when your native language is not English. It is difficult for us to explain our issue and also difficult for the technical team to explain a resolution to us."
"The program is difficult to learn to use"
"Connectors are complex, and it is difficult to understand or know which connector should be used. For instance, if I want to connect APIs, I will not be able to do it directly. I would have to go to the portal integration to get the data. Therefore, having simplified connectors will make things much easier."
"There are performance issues in terms of scalability and availability."
"I think more integration with other applications would be perfect."
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Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while SAP NetWeaver Business Warehouse is ranked 15th in Data Warehouse with 9 reviews. Azure Data Factory is rated 8.0, while SAP NetWeaver Business Warehouse is rated 7.8. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of SAP NetWeaver Business Warehouse writes "Powerful solution with good security and audit procedure features". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas SAP NetWeaver Business Warehouse is most compared with SAP BW4HANA and SAP Business Warehouse. See our Azure Data Factory vs. SAP NetWeaver Business Warehouse report.
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We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
