We performed a comparison between SAP BW4HANA and VMware Tanzu Greenplum based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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 seamlessly integrates with SAP products."
"Some of the main features of this solution are that it uses HANA and it has good performance."
"The product is stable."
"We benefited from BW/4HANA's ability to utilize predefined content inside. We didn't need to start from scratch."
"It can calculate data in detail. Before we could not calculate financial documents and accountant documents in detail, we could not do it at a document level but now we can. This is the most important feature. It also has predictive analysis memory."
"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 solution is based on SAP ERP, so there's some business content already included. For customers who use SAP ERP, SAP BW4HANA is a good choice for their DW implementation."
"Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible."
"It works very well with large database queries."
"Pivotal Greenplum's shared-nothing architecture."
"Scalable (Massive) Parallel Processing (MPP) – The ability to bring to bear large amounts of compute against large data sets with Greenplum and the EMC DCA has proven itself to be very effective."
"Helps us to achieve large-scale analytics."
"The most valuable feature for us is horizontal scaling."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable."
"The product needs to improve with more performance and fewer data layers."
"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."
"The UI is not user-friendly."
"I would like to be able to design new reports in a future release."
"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."
"The solution does occasionally get a few bugs, but this is typical for any product."
"The solution is not scalable. It does not have a data streaming feature as well."
"The solution is not easy to implement. It requires a lot of learning at the beginning."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."
"Implementation takes a long time."
"Maintenance is time-consuming."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data."
SAP BW4HANA is ranked 7th in Data Warehouse with 36 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. SAP BW4HANA is rated 7.4, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of SAP BW4HANA writes "An easy-to-operate and administer tool that needs to consider revising its existing licensing cost". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Very efficient at large scale analytics; lacks inbuilt machine-learning functions for complex use cases". SAP BW4HANA is most compared with Microsoft Azure Synapse Analytics, Snowflake, SAP HANA, Amazon Redshift and Vertica, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Snowflake and Microsoft Parallel Data Warehouse. See our SAP BW4HANA vs. VMware Tanzu Greenplum report.
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