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."The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"It's stable and reliable."
"The most valuable feature is the ease of uploading data from multiple sources."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"Helps us to achieve large-scale analytics."
"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."
"A very good, open-source platform."
"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."
"The loading speed is very good."
"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."
"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."
"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."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"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."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
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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