3.8 out of 5.0 (33 ratings)
31 Verified Reviews


Merging database and Increase Performance and Response times

Faster responses, created ways to merge databases.

Oracle DBMS

Oracle is fine, stay away from Solaris

Not impresses with the knowledge of the var tha twas an oracle specialist


Easy to Implement and great effeciencies

Excellent and cost savings


Performs as Advertised

Implementation was easy. System performs as advertised. Fairly short learning curve as well. Oracle Platinum support has had it's challenges. This seems like an immature process with frequent issues. We have gotten to the point that we require on-shore resources during Platinum support calls.


too expensive and a difficult relationship

ORACLE is q difficult to work with supplier, yet the project wa finally succesful. Cost too high

Big Data Appliance

Oracle Exadata is a great hammer

vendor has a good base offering, as a framework,

Exadata, Oracle DBMS

Exadata works as advertised. Great performance, solid architecture, reliable HW/SW.

Exadata is probably the best and most reliable Oracle innovation ever. It made managing complex, large RAC databases much simpler and more reliable. Implementation takes times and ACS and OCS resources are not always strong, requiring Oracle account team intervention. OMCS delivers -- at best -- just average management capabilities for Exadata.


The product is solid but the support is terrible.

The product is solid, but the support is terrible.

Exadata, Other...

Hardware performs well, but software has been challenging to configure

Product is high quality, but the vendor installation and configuration services have been challenging.


needs additional improvements

Glad to work with Exadata. Support from internal is ok. But its update process can be improved . Also, it should be needed to try how it work in cloud technology with 12c. We have established our 200 TB uncompressed enterprise data warehouse on that and it works effectively. We are still trying to integrate with relational and dimensional data warehouse and big data analytics and expecting to see results.