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."They just have a lot of products, and they work well together."
"The offloading of data to the SIM is a valuable feature."
"What I like most about Oracle Exadata is its smart scan feature. I also like that it supports higher capacities and it's high-performing, so my company can use Oracle Exadata for massive databases."
"The tool's performance is good."
"We can use virtualization on Exadata."
"This product can noticeably enhance performance of contextual Oracle databases."
"Exadata is also a very stable environment. Their Smart Scan feature is great for every banking environment and financial institutions willing to implement it."
"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."
"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."
"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 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."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The loading speed is very good."
"Pivotal Greenplum's shared-nothing architecture."
"Helps us to achieve large-scale analytics."
"I believe Oracle must improve its procedure to support the clients. The customer Ready Service must provide more use cases and benchmarks of their infrastructure to support client design decisions. Oracle must audit their partners regularly to guarantee they provide quality service even after been passed on partnership examination."
"The solution's pricing is very high."
"I would like to see more database features and maybe more archiving features, because we need to do data archiving."
"The performance could be improved."
"Sometimes it takes too long time to get help with technical issues."
"The customization can sometimes be difficult to achieve."
"The initial setup process is very difficult and extremely complex."
"We need a monitoring tool which can in one place, where we can manage, monitor the entire Exadata components."
"The solution's setup could be quicker and easier."
"Improvements need to be made on the load balancing side."
"Implementation takes a long time."
"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."
"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."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"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."