We performed a comparison between Teradata 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 effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."
"Cuts time to process huge amounts of data with efficient analytical queries."
"The ability to handle machine data parallel processing is the most valuable feature of Teradata."
"Teradata's best feature is its speed with historical data."
"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."
"The solution scales well on the cloud."
"The feature that we find most valuable is its ability to perform Massive Parallel Processing."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"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."
"The loading speed is very good."
"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."
"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."
"A very good, open-source platform."
"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."
"Helps us to achieve large-scale analytics."
"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."
"The increasing volumes of data demand more and more performance."
"Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required)."
"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."
"I would like to see more integration with many different types of data."
"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"It needs a teaching web site with more training on third-party tools used for BI."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data."
"Implementation takes a long time."
"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."
Teradata is ranked 3rd in Data Warehouse with 21 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 6 reviews. Teradata is rated 8.4, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of Teradata writes "Very fast with good database control and excellent support". 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". Teradata is most compared with SQL Server, Snowflake, MySQL, Oracle Exadata and BigQuery, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Oracle Database Appliance, Vertica, Apache Hadoop and Amazon Redshift. See our Teradata vs. VMware Tanzu Greenplum report.
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