We performed a comparison between IBM Db2 Warehouse on Cloud 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."The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."
"It will be MPP, so performance should improve."
"The performance is okay as long as the volume of queries is not too high."
"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."
"Helps us to achieve large-scale 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."
"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."
"It's super easy to deploy and it also supports different languages and analytics."
"Pivotal Greenplum's shared-nothing architecture."
"It works very well with large database queries."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"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."
"Implementation takes a long time."
"The installation is difficult and should be made easier."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"Extra filters would be helpful."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"Maintenance is time-consuming."
IBM Db2 Warehouse on Cloud is ranked 15th in Cloud Data Warehouse while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. IBM Db2 Warehouse on Cloud is rated 7.6, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of IBM Db2 Warehouse on Cloud writes "The "prefetch" feature anticipates needed data and keeps it available. BLU acceleration determines what data is unqualified for analysis and skips it". 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". IBM Db2 Warehouse on Cloud is most compared with Microsoft Azure Synapse Analytics, IBM Db2 Warehouse, Amazon Redshift, IBM Netezza Performance Server and Snowflake, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Snowflake.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
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