We performed a comparison between Oracle Big Data Appliance and SAP BW4HANA based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
"This is a comprehensive solution that is easy to deploy."
"Out of the box, this solution has a lot of standard features."
"It is a stable solution...It is a scalable solution."
"SAP BW4HANA aids in managing data from ER to front-end analysis, contributes to ROI, and fosters business growth understanding. I like that the solution breaks down components to a very granular level, allowing for customization and implementation based on specific requirements. The solution is stable. The solution is scalable."
"The most valuable aspect of this solution is that the infrastructure is easy to understand."
"The most valuable feature is the dashboard."
"I like the reporting features of the solution."
"It is a very stable solution."
"It is a stable solution."
"The product should be simplified for the average user."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"The solution is not scalable. It does not have a data streaming feature as well."
"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."
"It's complicated to use. You need to spend a lot of time learning about it. The interface could be improved. It's not intuitive to build a data model and use their ETL tools."
"The UI is not user-friendly."
"I cannot integrate it with my other tools. It's not possible to do something in the predictive analysis. Mobile reporting is also not available."
"Challenges arise with real-time client requirements when clients are accustomed to Microsoft Excel's extensive features for data analysis. They expect similar flexibility and customization in the solution, particularly regarding headers displaying keys and descriptions or just keys. Achieving this level of customization can be challenging, and it's an area that may need improvement."
"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."
"If I want to have good reporting, then I have to buy a separate license."
Oracle Big Data Appliance is ranked 12th in Data Warehouse with 5 reviews while SAP BW4HANA is ranked 7th in Data Warehouse with 34 reviews. Oracle Big Data Appliance is rated 8.0, while SAP BW4HANA is rated 7.4. The top reviewer of Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". On the other hand, the top reviewer of SAP BW4HANA writes "An easy-to-operate and administer tool that needs to consider revising its existing licensing cost". Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Teradata and Microsoft Azure Synapse Analytics, whereas SAP BW4HANA is most compared with Microsoft Azure Synapse Analytics, Snowflake, Amazon Redshift, SAP HANA and SQL Server.
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