We performed a comparison between Oracle Exadata and VMware Tanzu Greenplum based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature of Oracle Exadata is the smart scan. We have large TB sessions of approximately 100 per second for each of our three instances. The smart scan allows us the obtain data in time in the enterprise manager."
"It is a highly relevant option with extreme performance."
"Parallelism is the most valuable feature."
"It has improved the performance, now we run with more performance cores with less CPU to attend all the database demands. Reducing Time to Market, increase our ability to face the competition with speed and low cost."
"The most valuable feature of Oracle Exadata is the integration with other solutions, such as SAN storage and shared VLAN network."
"The technical support team are real professionals. I admire their technical skills and supports. Their supports are really admirable."
"It is the best solution for OLTP and data warehousing."
"It is a scalable solution."
"Helps us to achieve large-scale analytics."
"Pivotal Greenplum's shared-nothing architecture."
"The most valuable feature for us is horizontal scaling."
"It works very well with large database queries."
"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."
"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."
"The scalability can be improved as it is not a parallel execution."
"We need a monitoring tool which can in one place, where we can manage, monitor the entire Exadata components."
"Sometimes it takes too long time to get help with technical issues."
"I liked Spark, but it was discontinued when Exadata L6 came back. I loved it, and I wish they would bring back Spark integration."
"Oracle Exadata could improve by having faster data retrieval. We receive data at four or five seconds and want to reduce that number to one second."
"The improvement could be made on the hardware level as the habit in the industry is to go better and faster and larger with every iteration."
"Certification should also be improved. Today, Oracle doesn't certify applications with engineered systems."
"It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"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."
"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."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"The installation is difficult and should be made easier."
"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."
Oracle Exadata is ranked 2nd in Data Warehouse with 124 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Oracle Exadata is rated 8.4, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of Oracle Exadata writes "Very fast, scalable, stable, and demonstrates good performance". 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 Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and Vertica, whereas VMware Tanzu Greenplum is most compared with Vertica, Oracle Database Appliance, Apache Hadoop, Snowflake and Teradata. See our Oracle Exadata vs. VMware Tanzu Greenplum report.
See our list of best Data Warehouse vendors.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
Hi @JohnSmith130,
You might want to take a look at Smart Data Frameworks at https://smart-associates.biz/p...
SDF has been used in various migration projects and we have sufficient knowledge of both your source and target to have a sensible conversation about your requirements if you’re interested.
Thanks