We performed a comparison between Amazon EMR and Oracle Autonomous Data Warehouse 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."It allows users to access the data through a web interface."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"The project management is very streamlined."
"The initial setup is pretty straightforward."
"The solution helps us manage huge volumes of data."
"The solution is pretty simple to set up."
"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"A very good integration feature that restricts access to unauthorized people."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"The product is easy to use."
"The analytics have been very good. We've found them to be quite useful."
"It is a stable and scalable solution."
"Self-patching and runs machine-learning across its logs all the time"
"It is a very stable tool...It is an extremely scalable tool."
"The problem for us is it starts very slow."
"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 most complicated thing is configuring to the cluster and ensure it's running correctly."
"There is no need to pay extra for third-party software."
"The initial setup was time-consuming."
"The dashboard management could be better. Right now, it's lacking a bit."
"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."
"There is room for improvement in pricing."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"The initial setup was pretty complex. It was not easy."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"Ease of connectivity could be improved."
"The solution lacks visibility options."
"The installation process is complex. Oracle can make the installation process better."
"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."
"I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end."
More Oracle Autonomous Data Warehouse Pricing and Cost Advice →
Amazon EMR is ranked 9th in Cloud Data Warehouse with 20 reviews while Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews. Amazon EMR is rated 7.8, while Oracle Autonomous Data Warehouse is rated 8.6. 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 Autonomous Data Warehouse writes "A tool for data warehousing that offers scalability, stability, and ease of setup". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Apache Spark, whereas Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, BigQuery and Amazon Redshift. See our Amazon EMR vs. Oracle Autonomous Data Warehouse report.
See our list of best Cloud Data Warehouse vendors.
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.
