We performed a comparison between Aster Data Map Reduce 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's stable and reliable."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"The most valuable feature is the ease of uploading data from multiple sources."
"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."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"It's super easy to deploy and it also supports different languages and analytics."
"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."
"There are some ways that the handling of unstructured data could be improved."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
"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."
"Implementation takes a long time."
"Extra filters would be helpful."
"Maintenance is time-consuming."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"The installation is difficult and should be made easier."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Aster Data Map Reduce is rated 7.4, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of Aster Data Map Reduce writes "Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud ". 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". Aster Data Map Reduce is most compared with , whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Snowflake.
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