We performed a comparison between Amazon Redshift, IBM Db2 Warehouse on Cloud, and Oracle Exadata based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse."The processing of data is very fast."
"The ability to reload data multiple times at different times."
"The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing."
"You can copy JSON to the column and have it analyzed using simple functions."
"The most valuable features of Amazon Redshift are that its fast and efficient. We have lots of TBs of data and it's very fast."
"We have found Machine Learning use cases are very nice."
"The most valuable feature of Amazon Redshift is its ability to handle really large sets of data."
"Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."
"The performance is okay as long as the volume of queries is not too high."
"It will be MPP, so performance should improve."
"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."
"The most valuable feature is storage offloading."
"The product is flexible."
"The most valuable feature is that you have the same familiar environment of an Oracle database but with the additional performance you get from this architecture."
"Compression is a great feature, where one can really save a lot of storage."
"The ease of setup is an eight out of ten."
"What I like best about Oracle Exadata is its good performance. It's also a very fast solution."
"On-premises Exadata is just as stable as the cloud version. It's a very stable platform."
"The solution could improve in handling more data formats and more native support for RDF."
"The OLAP slide and dice features need to be improved."
"The speed of the solution and its portability needs improvement."
"Migrating data from other data sources can be challenging when you are working with multibyte character sets."
"There are physically too many pipelines for a company of this size to maintain. For a data scientist, it's very difficult to learn the data in all of these different environments."
"The technical support should be better in terms of their knowledge, and they should be more customer-friendly."
"The initial deployment was complex."
"Planting is the primary key enforcement that should be improved."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"The scalability can be improved as it is not a parallel execution."
"We have experienced some issues with processing unstructured data on Exadata. This is an important requirement for our AIML based use case. Reactive analytics data can not be prepared easily in Oracle Exadata."
"I have found Oracle Exadata to be scalable. However, you have to purchase more hardware, such as memory."
"Tech support sometimes takes some time to identify and rectify issues."
"The initial setup process is very difficult and extremely complex."
"The management monitoring tools are quite important and an area that needs some improvement."
"The handling of temp space has room for improvement."
"Oracle Exadata has room for improvement in pricing, especially for smaller companies. The solution is okay for bigger companies, but for smaller companies, it isn't."
