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 most valuable features of Amazon Redshift are that its fast and efficient. We have lots of TBs of data and it's very fast."
"The solution has very competitive pricing."
"It's scalable because it's on the cloud."
"The initial setup of this solution is straightforward."
"Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there."
"The processing of data is very fast."
"I found the Amazon Redshift computing services easy. I found the computing instances the most incredible in the solution."
"The ability to reload data multiple times at different times."
"It is the best solution for OLTP and data warehousing."
"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 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."
"This product can noticeably enhance performance of contextual Oracle databases."
"The most valuable feature is storage offloading."
"What I found most valuable in Oracle Exadata is its newer technology that gives better performance. It has more recent hardware and significant changes in the architecture, so it's better than older solutions."
"Exadata is also a very stable environment. Their Smart Scan feature is great for every banking environment and financial institutions willing to implement it."
"Exadata with the In-Memory option is several levels about SAP HANA."
"Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions."
"The initial setup is a complex process, especially for someone who is not familiar with nodes and configuring terms like RPUs."
"Amazon Redshift does not have the capability to dynamically increase the VM file."
"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."
"When working with third-party services requires additional integrations and configurations, which can sometimes add more cost."
"In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic."
"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."
"Improvement could be made in the area of streaming data."
"Since the product is an appliance, it is very costly."
"It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle."
"Sometimes it takes too long time to get help with technical issues."
"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."
"Exadata would be improved with single dashboard visibility."
"We had issues with system restoration."
"One small area for improvement in Oracle Exadata is integration, particularly at the consolidated application level."
"The solution takes a lot of time to clone the environment. I would like to see some improvement in the cloning support or the time it takes on the storage side."
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, Vertica, Snowflake, Microsoft Azure Synapse Analytics 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.
