

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We earned back our investment in Amazon Redshift within the first year.
Whenever we need support, if there is an issue accessing stored data due to regional data center problems, the Amazon team is very helpful and provides optimal solutions quickly.
Documentation that allows anyone with prior knowledge of Redshift or SQL to resolve technical issues.
It's costly when you enable support.
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.
The scalability part needs improvement as the sizing requires trial and error.
We have successfully increased our storage space, which was a smooth process without server crashes before or after scaling.
All enterprise-grade analytics tools allow rapid scaling, making our business more competitive.
Amazon Redshift is a stable product, and I would rate it nine or ten out of ten for stability.
Oracle Database Appliance is stable and scalable.
Integration with AI features could elevate its capabilities and popularity.
Integration with AI could be a good improvement.
They should bring the entire ETL data management process into Amazon Redshift.
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.
It's a pretty good price and reasonable for the product quality.
The cost of technical support is high.
The pricing of Amazon Redshift is expensive.
I am satisfied with the price for Oracle Database Appliance.
Oracle is on the higher end of the pricing spectrum, along with SAP.
Scalability is also a strong point; I can scale it however I want without any limitations.
Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down.
The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly.
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.
| Product | Mindshare (%) |
|---|---|
| Amazon Redshift | 4.6% |
| Oracle Database Appliance | 3.6% |
| Other | 91.8% |


| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 21 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 9 |
| Large Enterprise | 15 |
Amazon Redshift is a dynamic data warehousing and analytics platform offering scalability and seamless AWS integration for high-performance query processing and diverse data management.
Amazon Redshift provides robust data integration capabilities with AWS services like S3 and QuickSight, enabling efficient data warehousing and analytics. It is known for fast query performance due to its columnar storage and can handle diverse file formats. With a user-friendly SQL interface, Redshift supports data compression and offers a strong cost-performance ratio. Its secure VPC configurations and compatibility with data science tools enhance its functionality, although there is room for improving snapshot restoration, dynamic scaling, and processing large datasets.
What are the key features of Amazon Redshift?In industries, Amazon Redshift is essential for managing extensive datasets for business intelligence, operational insights, and reporting. It supports data integration from ERPs and S3, handles SQL queries for comprehensive analysis, and facilitates data storage and transformation. Companies use it for predictive modeling and connect with BI tools like Tableau and Power BI to derive actionable insights.
Oracle Database Appliance offers high availability, easy management, and straightforward deployment, supporting virtualization and a pay-as-you-grow model. Its performance is enhanced by all-flash storage, catering to enterprise needs while automating tasks for operational efficiency.
Oracle Database Appliance stands out with its ability to handle large data volumes and numerous databases while ensuring excellent scalability. The system provides powerful processing for online transaction processing, database consolidation, and enterprise applications. It's valued for its performance enhancements achieved through all-flash storage, simplifying management tasks and reducing manual intervention. Oracle Database Appliance's pay-as-you-grow model and pre-packaged installation offer organizations flexibility and cost savings.
What are Oracle Database Appliance's key features?In industries like insurance, highway systems, cloud infrastructure, and ISPs, Oracle Database Appliance proves effective for tasks such as supporting ERP solutions and scalable analytics. Medium-sized firms appreciate its configurability and cost-saving efficiency in enhancing performance.
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