"The most valuable feature is the level of processing power, and being able to complete tasks in parallel."
"Its seamless integration with Azure services is most valuable. If somebody wants to use all Azure services, it is the best solution."
"The stability is pretty good."
"One central workspace to manage everything for your data warehouse including visualization."
"I like SQL post, which is for storage and distributed computing. Another good feature is the copy activity."
"The most important feature for me is the integration with PolyBase."
"The architecture, including compute and storage, is good."
"Can capture all the transactional data throughout a company."
"Some of the main features of this solution are that it uses HANA and it has good performance."
"Its direct approach is the most valuable. You get more real time and capabilities than BW."
"I like that it's quite quick."
"The UI is completely new, beautiful, and user-friendly. There are some other helpful features like global filters and advanced tools. We can perform custom calculations easily From a technical perspective, the performance has been enhanced and optimized for a limited number of flows. The content settings are more advanced, and there are so many other features that I can't name them all."
"The most valuable feature is that we can transform a huge amount of data and apply business logic as per the requirements."
"We benefited from BW/4HANA's ability to utilize predefined content inside. We didn't need to start from scratch."
"The initial setup is complex."
"I would like to see them provide the ingestion of images."
"More integration is needed to improve the product for the future."
"It needs strong support for social media, internet data, and native support for NoSQL."
"The only issue that we have run into with the solutions performance is with regards to concurrency."
"Documentation could be improved."
"It would be ideal if the solution could be better used intuitively by the staff without having a great deal of training."
"They should provide a less expensive version with a smaller setup for small businesses. Currently, its price is quite high for entry-level or small businesses. In terms of integration, new connectors are always welcomed."
"The speed of operations could be a little faster."
"They have taken out a few BW functionalities when they redesigned this. The way of multi-dimensional thinking and star schema got a little bit lost. It may be because of the cost, but certain functionalities that were previously implemented from the BW side should come back again in the whole product. It is a young product. It is version 2.0. In time, I'm pretty sure they will come back again because otherwise, it limits the potential of the product, and I have to do a lot of modeling towards that direction. For me, the analytics focus is too much. It is not cube-oriented in that way, so its functionality is limited. It is not really technically limited in the back end; it is more limited in the front end. It has a data-mining mindset for SQL developers. The navigational attributes should be easy. It needs to be built in models. I see the data mark cube or understanding that the composite provider needs to be models in a cube coming back. The multi-dimensional star schema approach and the reporting need to be done as well as possible to leverage the star scheme below. This is definitely not understood by many consultants and even composite providers for star schema. They always think in terms of flat tables, which is limiting. You need to build the right dimensions, objects, and so on. If you can build this in BW4HANA, then you have this understanding that BW4HANA is not forcing you in this direction, but it should force you a bit better in this direction. Maybe a few elements which were in use in BW should come back again. It would help the community to determine the direction to build on the cube. You can have maybe 50 elements, and then you can expand it to what you need by leveraging navigation. So far, this functionality is a little bit limited in the tool, and it is not thought through, but I think it will come. They should also be adding more capabilities for the transformation between different objects. In BW, this is currently limited, especially towards composite providers. It is a bit complex basically in the building. You have to have a lot of knowledge as well as know how to do it better because it is a bit different from BW. There is not too much expertise currently in the consulting markets. Many are trying to build something, but it may be based on their knowledge of what they have from the BW and HANA side. You have to find the right mix from both of them at this time. We also have HANA Native. These are our two different sync sources basically, and we have approaches to connect nicely, but it is hard to manage your team because a lot of coaching is required."
"I would like more integration."
"Other competitors provide better solutions that are more up to date with current technology."
"The solution is not easy to implement. It requires a lot of learning at the beginning."
"BW/4HANA could improve query optimization. For example, there could be an error message that pops up when you hover over it if any query fails. That would make it easier to find out what went gone wrong. Guided SAP help tools would make it easier for us to go forward."
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Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 43 reviews while SAP BW4HANA is ranked 7th in Data Warehouse with 7 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while SAP BW4HANA is rated 7.6. The top reviewer of Microsoft Azure Synapse Analytics writes "Scalable, intuitive, facilitates compliance and keeping your data secure". On the other hand, the top reviewer of SAP BW4HANA writes "Good capabilities, direct approach, and the right reporting tool for SAP companies". Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, Apache Hadoop, Oracle Autonomous Data Warehouse and Azure Data Factory, whereas SAP BW4HANA is most compared with Snowflake, Amazon Redshift, Microsoft Parallel Data Warehouse, SAP NetWeaver Business Warehouse and Apache Hadoop.
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