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."With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main reason we use it."
"The analytics have been very good. We've found them to be quite useful."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"A very good integration feature that restricts access to unauthorized people."
"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."
"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 product is easy to use."
"A very good, open-source platform."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"Helps us to achieve large-scale analytics."
"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."
"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."
"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."
"I would like to see an on-premise solution in the future."
"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."
"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."
"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."
"They should make the solution more user-friendly."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"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."
"My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle."
"Implementation takes a long time."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Maintenance is time-consuming."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"The installation is difficult and should be made easier."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"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."
"Extra filters would be helpful."
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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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