Oracle Exadata Express Cloud Service Reviews

Users found their investment in Oracle Exadata Express Cloud Service resulted in higher efficiency and major cost savings due to its scalability and data management capabilities. Many highlighted significant reductions in infrastructure expenses and maintenance time. Some noted an improved performance in their database operations and the seamless integration with existing systems. Enhanced security features also led to better protection of sensitive information, while the comprehensive support and documentation provided a smoother adoption process.

Oracle Exadata Express Cloud Service users find the pricing competitive yet premium, with an unmetered service model favoring long-term commitments. Companies appreciate cost reduction through cloud infrastructure optimization and the "bring your own licenses" policy. Pricing models vary by industry, with the solution being well-suited for sectors like pharma. Despite its high cost, the price-to-performance ratio and the option to adjust licensing and storage meet enterprise expectations. Users report facing challenges due to its expense, especially in regions like Brazil.

• "The tool is not cheap, but it is not really expensive."
• "I think Oracle pricing is usually above average market price."
• "The price of this solution is very comparative to others on the market. There is no direct comparison between this solution and with something else because I do not see any other similar product."

Oracle Exadata Express Cloud Service is used for transaction processing, data consolidation, and handling critical applications, often by enterprises for high performance and reliability. It aids startups and small to medium enterprises by eliminating the need for in-house servers. Larger organizations utilize it for database consolidation, scalability enhancements, security, and high availability. Industries including financial, insurance, and geographical systems employ it for managing extensive datasets and optimizing database performance in cloud environments.

Customer service sometimes lacks responsiveness, particularly with invalid Customer Support Identifiers. Technical support varies, with some praising its expertise and others noting limitations. Dependence on regional partners affects accessibility. Support effectiveness is debated, with some rating it highly while others see room for improvement. Access to online resources is appreciated, yet problem resolution can be inconsistent. Advanced support options are seen as more effective, while standard support sometimes requires repeated explanations.

Initial setup of Oracle Exadata Express Cloud Service is described as easy and straightforward. Many find client connections well documented, and it's smooth once security configurations are properly set. Some indicate the process takes about four weeks, while for others it takes less than a day. Projects often involve consolidating databases, migrating, and using tools like Oracle Golden Gate. Maintenance requires three engineers, and installation steps are similar whether on-premises or cloud.

Oracle Exadata Express Cloud Service is praised for its scalability, allowing large enterprises with extensive user bases to efficiently manage resources. Users note the capability to scale flexibly according to data load and performance needs. Fast provisioning enhances project timelines, and its cloud nature offers adaptability for varying environments. Ratings vary, but its scalability is consistently described as high, demonstrating versatility for both large and small scale deployments.

Oracle Exadata Express Cloud Service is regarded as highly stable. Customers report hosting critical applications without major issues or downtime. Stability ratings range from seven to nine out of ten. Some note the need for provider intervention for performance-related changes. Users highlight the service’s reliability, even though setup without downtime remains a challenge. Its stable nature continues to be a valuable aspect for entities utilizing cloud databases.