Anonymous UserCo-Founder, Chief of Operations
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"This is a comprehensive solution that is easy to deploy."
"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."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"The product should be simplified for the average user."
"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."
"We are using the open-source version of this solution."
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Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.
For more information on Oracle Big Data Appliance, visit Oracle.com
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.
Oracle Big Data Appliance is ranked 15th in Data Warehouse with 2 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 6 reviews. Oracle Big Data Appliance is rated 8.0, while VMware Tanzu Greenplum is rated 8.0. The top reviewer of Oracle Big Data Appliance writes "End-users can build the reports by themselves without really knowing anything about databases". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Powerful external data integration and parallel load capabilities, with good technical support". Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Microsoft Azure Synapse Analytics and IBM Integrated Analytics System, whereas VMware Tanzu Greenplum is most compared with Snowflake, Apache Hadoop, Amazon Redshift and Oracle Exadata. See our Oracle Big Data Appliance 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.