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."We can get good visualization and less redundant data."
"It's quite scalable."
"The solution's performance is really good. Also, it's easy to operate, easy to administer, and relatively simple to install."
"It is a stable solution...It is a scalable solution."
"It is a stable solution...The initial setup was easy."
"The most valuable features are the speed of reporting and the HANA database."
"Out of the box, this solution has a lot of standard features."
"The processes are the most valuable aspect of this solution."
"Helps us to achieve large-scale analytics."
"A very good, open-source platform."
"Very fast for query processing."
"The loading speed is very good."
"It works very well with large database queries."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"It's super easy to deploy and it also supports different languages and analytics."
"It takes too long to escalate problems from the first level of support."
"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."
"Pricing would be a good improvement. A lot of customers think that it's very expensive and especially support is very expensive."
"Price wise, this solution is on the higher side."
"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."
"The cost of the product might be an area that might introduce some restrictions or limitations to customers, making it one of the aspects where improvements are required."
"The solution is not easy to implement. It requires a lot of learning at the beginning."
"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."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
"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."
"Maintenance is time-consuming."
"VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
SAP BW4HANA is ranked 7th in Data Warehouse with 34 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, Amazon Redshift, SAP HANA and Vertica, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Microsoft Parallel Data Warehouse. See our SAP BW4HANA vs. VMware Tanzu Greenplum report.
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