BrenoNunesAuditor Federal de Finanças e Controle at CGU
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The feature that we find most valuable is its ability to perform Massive Parallel Processing."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"It is a stable program."
"The functionality of the solution is excellent."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"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."
"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."
"The most valuable feature for us is horizontal scaling."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"It's super easy to deploy and it also supports different languages and analytics."
"I would like to see an improved Knowledge Base on the web."
"The user interface needs to be improved."
"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"It could use some more advanced analytics relating to structured and semi-structured data."
"The installation is difficult and should be made easier."
"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."
"Initial setup is a little complex. It took around two weeks to deploy."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"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."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"We are using the open-source version of this solution."
MikeChenUser at hwitech
Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.
Parallel Postgres for enterprise analytics at scale
With improved transaction processing capability and support for streaming ingest, Greenplum can address workloads across a spectrum of analytic and operational contexts, from traditional business intelligence to deep learning.
Teradata is ranked 6th in Data Warehouse with 5 reviews while VMware Tanzu Greenplum is ranked 8th in Data Warehouse with 6 reviews. Teradata is rated 8.2, while VMware Tanzu Greenplum is rated 8.0. The top reviewer of Teradata writes "Good data warehousing, scalable, and offers good functionality". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Powerful external data integration and parallel load capabilities, with good technical support". Teradata is most compared with Oracle Exadata, SQL Server, Snowflake, Amazon Redshift and MySQL, whereas VMware Tanzu Greenplum is most compared with Apache Hadoop, Snowflake, Amazon Redshift, Oracle Exadata and Vertica. See our Teradata vs. VMware Tanzu Greenplum report.
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.