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."It will be MPP, so performance should improve."
"The performance is okay as long as the volume of queries is not too high."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."
"The most valuable feature for us is horizontal scaling."
"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."
"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."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The loading speed is very good."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"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."
"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."
"Maintenance is time-consuming."
"Initial setup is a little complex. It took around two weeks to deploy."
"Extra filters would be helpful."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"Implementation takes a long time."
"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)."
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.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.