

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.
I would rate the technical support from Amazon as ten out of ten.
We get all call support, screen sharing support, and immediate support, so there are no problems.
They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.
I would rate Oracle support nine or ten out of ten because you can always open a ticket and describe any problems, and the feedback is very quick.
Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.
All enterprise-grade analytics tools allow rapid scaling, making our business more competitive.
Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.
Oracle Database Appliance is stable and scalable.
The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2.
I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.
There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB.
There is room for improvement in better integration with third-party tools, such as Power BI or Redshift.
Currently, Oracle Database Appliance is good with no room for improvement.
For the cloud version, there could be better storage options or more storage for lower prices.
Cost optimization can be achieved through instance usage, cluster sharing, and auto-scaling.
I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.
I am satisfied with the price for Oracle Database Appliance.
Oracle is on the higher end of the pricing spectrum, along with SAP.
Amazon EMR helps in scalability, real-time and batch processing of data, handling efficient data sources, and managing data lakes, data stores, and data marts on file systems and in S3 buckets.
Amazon EMR provides out-of-the-box solutions with Spark and Hive.
We are using it to clean the data and transform the data in such a way that the end-user can get the insights faster.
The most valuable feature is the ease of dashboarding and ease of reporting.
The automated provisioning feature helps speed up the database deployment process because you can use one command or option to resize all the disks or increase memory, depending on the occasion.
The flexibility of deploying Oracle Database Appliance both on-premises and on cloud may help me address my organization's evolving business needs.

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 5 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 9 |
| Large Enterprise | 15 |
Oracle Database Appliance is the easiest and most affordable way for small or medium-size organizations to run Oracle databases and applications and is an ideal platform for remote and edge computing environments. Customers reduce Oracle Database deployment times and management workloads using a prebuilt integrated system with management automation. As demonstrated in IDC’s business value study (PDF), Oracle Database Appliance lets customers grow revenue and control costs, delivering up to a 498% return on investment (ROI) over five years.
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