We performed a comparison between Oracle Exadata, TIBCO Live Datamart, and VMware Tanzu Greenplum based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
"What I like best about Oracle Exadata is its good performance. It's also a very fast solution."
"It is the best solution for OLTP and data warehousing."
"The offloading of data to the SIM is a valuable feature."
"The technical support team are real professionals. I admire their technical skills and supports. Their supports are really admirable."
"Oracle Exadata has very good hardware."
"Oracle is easy to use for peripheral things, such as the data vault and the data firewall, data sync, and partitions. These are the features that give an edge to other databases."
"Compression is a great feature, where one can really save a lot of storage."
"The storage capacity and the performance of Oracle Exadata are good. When comparing the performance to other technologies it is very good. I am satisfied with the management of the solution."
"The solution has a powerful aggregating feature"
"You can create your own rules that include mathematic calculations."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"Very fast for query processing."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"It's super easy to deploy and it also supports different languages and analytics."
"It works very well with large database queries."
"A very good, open-source platform."
"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."
"The solution takes a lot of time to clone the environment. I would like to see some improvement in the cloning support or the time it takes on the storage side."
"It would be good if Exadata made some new features available regarding data retrieval and speed capacity functions."
"The performance could be improved."
"It's too expensive per terabyte. It's complex."
"The setup is a little bit complex. We would like to see the installation part get easier."
"There is room for improvement with the handling of the Temp IO, which is often used for JOIN statements."
"We had issues with system restoration."
"The solution lacks a visualized console."
"The solution's setup could be quicker and easier."
"Improvements need to be made on the load balancing side."
"Implementation takes a long time."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"Initial setup is a little complex. It took around two weeks to deploy."
