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."
"The performance is okay as long as the volume of queries is not too high."
"It will be MPP, so performance should improve."
"The loading speed is very good."
"The most valuable feature for us is horizontal scaling."
"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."
"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."
"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."
"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."
"Helps us to achieve large-scale analytics."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"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."
"The installation is difficult and should be made easier."
"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."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"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."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"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 Amazon Redshift, IBM Netezza Performance Server, IBM Db2 Warehouse, Microsoft Azure Synapse Analytics 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.
