We performed a comparison between Aster Data Map Reduce 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 most valuable feature is the ease of uploading data from multiple sources."
"It's stable and reliable."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"I like that it's quite quick."
"The solution seamlessly integrates with SAP products."
"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 product has efficient performance."
"The processes are the most valuable aspect of this 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 solution's performance is really good. Also, it's easy to operate, easy to administer, and relatively simple to install."
"The most valuable feature is that we can transform a huge amount of data and apply business logic as per the requirements."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
"There are some ways that the handling of unstructured data could be improved."
"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."
"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."
"Connecting multiple sources is a challenge because you have to go through a lot of different setups."
"The monitoring for the remodeling feature is very difficult to understand."
"The licensing cost could be made better."
"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."
"We cannot integrate with third-party tools like Python or advanced integration options. You can't fine-tune tables within BW or generate specific views or reports."
"From a technical perspective, it could be even more related to legacy systems. The connectivity requirement is quite high and requires systems that are up-to-date."
"I would like to be able to design new reports in a future release."
Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews while SAP BW4HANA is ranked 7th in Data Warehouse with 34 reviews. Aster Data Map Reduce is rated 7.4, while SAP BW4HANA is rated 7.4. The top reviewer of Aster Data Map Reduce writes "Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud ". 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". Aster Data Map Reduce is most compared with , whereas SAP BW4HANA is most compared with Microsoft Azure Synapse Analytics, Snowflake, Amazon Redshift, SAP HANA and SQL Server.
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