We performed a comparison between Oracle Autonomous Data Warehouse and VMware Tanzu Greenplum based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It is a very stable tool...It is an extremely scalable tool."
"The performance and scalability are awesome."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"It is a stable and scalable solution."
"The solution integrates well with Power BI."
"Very fast for query processing."
"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."
"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."
"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."
"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 most valuable feature for us is horizontal scaling."
"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."
"The installation process is complex. Oracle can make the installation process better."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"There is a need for more storage to be allocated, but over a period of time, it becomes impossible to reduce it after using it."
"It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects."
"I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"The initial setup was pretty complex. It was not easy."
"Extra filters would be helpful."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Initial setup is a little complex. It took around two weeks to deploy."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"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."
"VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
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Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Oracle Autonomous Data Warehouse is rated 8.6, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of Oracle Autonomous Data Warehouse writes "A tool for data warehousing that offers scalability, stability, and ease of setup". 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". Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, BigQuery and Amazon Redshift, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Snowflake. See our Oracle Autonomous Data Warehouse vs. VMware Tanzu Greenplum report.
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