We performed a comparison between Infobright DB 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."It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
"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."
"Very fast for query processing."
"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'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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The most valuable feature for us is horizontal scaling."
"Pivotal Greenplum's shared-nothing architecture."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"Extra filters would be helpful."
"Initial setup is a little complex. It took around two weeks to deploy."
"The installation is difficult and should be made easier."
"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."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
Earn 20 points
Infobright DB is ranked 27th in Data Warehouse while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Infobright DB is rated 7.6, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of Infobright DB writes "If you need a real big data solution, look for a distributed solution that actually has a proven track record". 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". Infobright DB is most compared with MySQL and LocalDB, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Snowflake and Apache Hadoop. See our Infobright DB vs. VMware Tanzu Greenplum report.
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