We compared Amazon Redshift and Oracle Exadata based on our users’ reviews in four categories. After reading the collected data, you can find our conclusion below.
Comparison of Results: Based on the parameters we compared, Amazon Redshift seems to be the superior solution. Our reviewers feel that Oracle Exadata’s complexity of deployment and its expensive price tag make Amazon Redshift the better investment.
"The product is relatively easy to use because there is no indexing and no partitions."
"The processing of data is very fast."
"The most valuable feature is the scalability, as it grows according to our needs."
"The solution is scalable. It handles different loads very well."
"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."
"In terms of valuable features, I like the columnar storage that Redshift provides. The storage is one of the key features that we're looking for. Also, the data updates and the latency between the data-refreshes."
"This service can merge and integrate well with all databases."
"It is very easy to dump data into the tool."
"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."
"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."
"Exadata is also a very stable environment. Their Smart Scan feature is great for every banking environment and financial institutions willing to implement it."
"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 data replication is very good."
"Oracle has reliable solutions and this one is no different."
"It offers a significant advantage for accommodating a large number of users."
"This product can noticeably enhance performance of contextual Oracle databases."
"This solution lacks integration with non-AWS sources."
"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."
"The customer support could be more responsive."
"In the solution, user-based access is quite hard. In general, certain permissions are difficult to manage."
"The refreshment rate of data reaching Redshift from other sources should be faster."
"When working with third-party services requires additional integrations and configurations, which can sometimes add more cost."
"The initial deployment was complex."
"Amazon Redshift could improve the user interface support."
"Sometimes it takes too long time to get help with technical issues."
"The analytics features must be improved."
"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."
"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."
"It would be good if Exadata made some new features available regarding data retrieval and speed capacity functions."
"A room for improvement in Oracle Exadata is that it's not very easy to use in a microservices environment. It's not easy to split databases, and if this was easier to do in Oracle Exadata, it would make the solution better. What I'd like to see in the next release of Oracle Exadata is for it to become more modular, so you can use it in a context where the data layer is spread between many independent services."
"The initial setup process is very difficult and extremely complex."
"The solution could always be more stable and more reliable."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 61 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 125 reviews. Amazon Redshift is rated 7.8, while Oracle Exadata is rated 8.4. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of Oracle Exadata writes "Offers a variety of valuable features". Amazon Redshift is most compared with Teradata, Snowflake, AWS Lake Formation, Vertica and Azure Data Factory, whereas Oracle Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and VMware Tanzu Data Services. See our Amazon Redshift vs. Oracle Exadata report.
See our list of best Data Warehouse vendors and best Cloud 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.