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."Out of the box, this solution has a lot of standard features."
"The solution seamlessly integrates with SAP products."
"Its direct approach is the most valuable. You get more real time and capabilities than BW."
"The ability to instantly pull data is the most valuable feature."
"From an ERP point of view and a functionality point of view, it works very well. The benefits are in that of financial costing and material management."
"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."
"It's quite scalable."
"We can get good visualization and less redundant data."
"It's super easy to deploy and it also supports different languages and analytics."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"Helps us to achieve large-scale analytics."
"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."
"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."
"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 cannot integrate it with my other tools. It's not possible to do something in the predictive analysis. Mobile reporting is also not available."
"The tool is not cloud-compatible."
"The speed of operations could be a little faster."
"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."
"In the next release, I would like to see their BI component introduced with a mobile version, as it is not currently present."
"The product needs to improve with more performance and fewer data layers."
"they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer."
"Implementation takes a long time."
"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."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Maintenance is time-consuming."
"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."
"Extra filters would be helpful."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
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 Presto. See our SAP BW4HANA vs. VMware Tanzu Greenplum report.
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