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."Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."
"The product is easy to use."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"Self-patching and runs machine-learning across its logs all the time"
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"The analytics have been very good. We've found them to be quite useful."
"It is a very stable tool...It is an extremely scalable tool."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"Pivotal Greenplum's shared-nothing architecture."
"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."
"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."
"A very good, open-source platform."
"Very fast for query processing."
"They should make the solution more user-friendly."
"The initial setup was pretty complex. It was not easy."
"An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud."
"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 is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."
"A lot of the tools that were previously there have now been taken away."
"The installation is difficult and should be made easier."
"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."
"they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
"Maintenance is time-consuming."
"Initial setup is a little complex. It took around two weeks to deploy."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
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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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