We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The performance is okay as long as the volume of queries is not too high."
"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."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"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."
IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.
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.
IBM Db2 Warehouse on Cloud is ranked 9th in Cloud Data Warehouse with 1 review while VMware Tanzu Greenplum is ranked 8th in Data Warehouse with 6 reviews. IBM Db2 Warehouse on Cloud is rated 5.0, while VMware Tanzu Greenplum is rated 8.0. The top reviewer of IBM Db2 Warehouse on Cloud writes "Good performance but poor scalability, and the technical support needs improvement". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Powerful external data integration and parallel load capabilities, with good technical support". IBM Db2 Warehouse on Cloud is most compared with Snowflake, IBM Netezza Performance Server, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas VMware Tanzu Greenplum is most compared with Apache Hadoop, Snowflake, Amazon Redshift, Oracle Exadata and Oracle Big Data Appliance.
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We monitor all Cloud 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.