We performed a comparison between Amazon EMR and Oracle Exadata based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution helps us manage huge volumes of data."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"The project management is very streamlined."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot."
"The initial setup is straightforward."
"The solution is pretty simple to set up."
"The solution is scalable."
"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."
"Compression is a great feature, where one can really save a lot of storage."
"The data replication is very good."
"The business intelligence is very good."
"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."
"Parallelism is the most valuable feature."
"It is a highly relevant option with extreme performance."
"We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part."
"The problem for us is it starts very slow."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"Amazon EMR can improve by adding some features, such as megastore services and HiveServer2. Additionally, the user interface could be better, similar to what Apache service provides, cross-platform services."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"The product's features for storing data in static clusters could be better."
"The initial setup was time-consuming."
"There is no need to pay extra for third-party software."
"There is room for improvement with the handling of the Temp IO, which is often used for JOIN statements."
"Tech support sometimes takes some time to identify and rectify issues."
"There is one aspect to Exadata that I dislike, and that's the inconsistency with other databases. When you try to get Exadata to function with another type of database like SQL, or others, there should be reliable and consistent operation. When this is improved on, we should start to see more applications growing the market."
"Patching must be simplified."
"The customization can sometimes be difficult to achieve."
"There's room for improvement in terms of deployment, as it could be made faster and more user-friendly."
"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."
"It's too expensive per terabyte. It's complex."
Amazon EMR is ranked 9th in Cloud Data Warehouse with 20 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 124 reviews. Amazon EMR is rated 7.8, while Oracle Exadata is rated 8.4. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of Oracle Exadata writes "Offers a variety of valuable features". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory and Amazon Redshift, whereas Oracle Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and Amazon Redshift. See our Amazon EMR vs. Oracle Exadata report.
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We monitor all Cloud 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.
