Service and Support
Customer service is generally seen as satisfactory, though there's a notable concern with technical support. It varies widely, with many finding it lengthy and complex, often requiring multiple interactions with different support staff. Some users particularly dislike being passed between teams. Response times can vary, especially for lower-priority issues. Challenges persist in environments with multiple Oracle products. While some find the support team to be responsive, others think improvements are needed to meet expectations.
Deployment
Users described Oracle Hyperion's initial setup as challenging, especially when upgrading or working within large or complex environments. Though some found it straightforward, complexities often arose from technical requirements, defining business processes, and integrating independent tools. Expertise and professional assistance were commonly needed. Those with experience found it easier, while newcomers faced more difficulties. Cloud-based versions were noted to simplify some setup processes compared to on-premises solutions. Deployment time varied significantly based on project scope.
Scalability
Many users find Oracle Hyperion scalable, meeting their growing needs without issues, particularly in large enterprises with extensive data and users. It handles complex financial consolidations efficiently. Some limitations arise with customization and scaling user numbers quickly outside cloud environments. Performance concerns exist in certain configurations, but the product scales well, especially alongside planning instances, supporting hundreds of users. Users report effective scaling across various company sizes and industries, with plans to enhance scalability through cloud technology.
Stability
Oracle Hyperion is recognized for its generally stable performance, although users have reported minor issues such as Java memory leaks and occasional bugs during version upgrades. Some challenges with the Essbase engine and complex configurations exist, particularly for government-related budgeting. Despite certain setbacks requiring technical fixes, many users appreciate its reliability, especially for larger datasets and organizations. Stability is often rated between seven to nine out of ten, signifying a high level of user satisfaction.