We performed a comparison between Microsoft Parallel Data Warehouse, Oracle Exadata, and VMware Tanzu Greenplum based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"I am very satisfied with the customer service/technical support."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"It handles high volumes of data very well."
"The solution has been reliable."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"It is not a pricey product compared to other data warehouse solutions."
"We can store the data in a data lake for a very low cost."
"A very stable solution, which we have hardly any problems with."
"Exadata with the In-Memory option is several levels about SAP HANA."
"The data replication is very good."
"They just have a lot of products, and they work well together."
"Before using this machine, we took no less than two days to run a report. Now, we can do it within five hours. So, there is a lot of improvement."
"It is a highly relevant option with extreme performance."
"This product can noticeably enhance performance of contextual Oracle databases."
"Compression is a great feature, where one can really save a lot of storage."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"Helps us to achieve large-scale analytics."
"Pivotal Greenplum's shared-nothing architecture."
"It works very well with large database queries."
"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"More tools to help designers should be included."
"The query is slow if we don't optimize it."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"It could be made more user-friendly for business users which would increase the user base."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The product does not have all of the features that the native products have."
"We'd like to see it be a bit more compatible with other solutions."
"We had issues with system restoration."
"The scalability can be improved as it is not a parallel execution."
"I liked Spark, but it was discontinued when Exadata L6 came back. I loved it, and I wish they would bring back Spark integration."
"There is a feature for security, but it is not included in the first purchase of this solution. That means if you need to increase the security, you need to buy the security feature which doesn't come by default on these solutions."
"The technical support is in need of improvement."
"Tech support sometimes takes some time to identify and rectify issues."
"The initial setup process is very difficult and extremely complex."
"It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"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."
"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."
"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."
"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."
"Extra filters would be helpful."
"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."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
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