Oracle Database@Google Cloud

While Exadata Database Service is typically chosen by larger enterprises, small businesses with specific compliance or performance requirements can also benefit. For example, a small financial services firm dealing with sensitive data might require the dedicated infrastructure and extreme performance that Exadata offers.

Example: A boutique investment firm handling sensitive financial data uses Exadata Database Service because it provides them with a dedicated, highly secure, and high performance database environment, and lets them meet strict regulatory compliance standards.

Mid-sized enterprises with high-volume, mission-critical workloads can benefit from the power and scalability of Exadata Database Service. It provides them with the performance, reliability, and availability needed to support their critical applications.

Example: A mid-sized online gaming company with millions of concurrent users uses Exadata Database Service because the platform's extreme performance and scalability can handle the high-volume transactional workload, ensuring a seamless and responsive user experience.

Large enterprises with demanding enterprise applications, data warehouses, or consolidation projects can use Exadata Database Service to handle massive data volumes, high concurrency, and complex queries with ease.

Example: A large telecommunications company with terabytes of data and complex analytical queries can use Exadata Database Service because the platform's parallel processing and in-memory capabilities speed up query performance, enabling faster decision-making and improved operational efficiency.

Exadata Database Service on Exascale Infrastructure is ideally suited for small businesses with Exadata performance requirements. For example, a small financial services firm dealing with sensitive data might require extreme performance that Exadata offers.

Example: A small hospital using Medical Data of Clinical & Patient Record Management Systems supprting research analytics and clinical applications. Delivered high performance for critical workloads, including OLTP and genomic data analysis, with streamlined database management and optimized IT operations.

Mid-sized enterprises with high-volume, mission-critical workloads can benefit from the power and scalability of Exadata Database Service on Exascale Infrastructure. It provides them with the performance, reliability, and availability needed to support their critical applications.

Example: ISVs that require local database presence in many regions with variable market sizes in each region that require Exadata performance and availability for their mission critical applications. Exadata Database Service on Exascale Infrastructure provides low entry point to each market and easily scales as that market grows.

Large enterprises with demanding enterprise applications, data warehouses, or consolidation projects can use Exadata Database Service on Exascale Infrastructure to handle massive data volumes, high concurrency, and complex queries with ease.

Example: A large multinational company that operates departments or regions separately, each with their own budgets. Exadata Database Service on Exascale Infrastructure provides the ability to right-size the Exadata infrastructure according to each department size or budget.

Small businesses with limited Oracle footprint and using Oracle applications such as E-Business Suite, JD Edwards, PeopleSoft.

Example: A small university wanted to avoid any downtime to core administrative systems, because it would be extremely disruptive to operations. After migrating its JD Edwards financial management and procurement applications to Oracle Cloud Infrastructure (OCI) with Oracle Database Service, the university saw improved productivity and availability.

Mid-sized enterprises often have growing data needs that require a cost-effective and scalable solution. Base Database Service allows customers to select database edition and scale resources to meet their workloads.

Example: A mid-size insurance, a provider of life, health, motor, and corporate insurance offers seamless digital services to its customers. Managing its core customer policy lifecycle applications on an aging on-premises infrastructure was costly and complex, prompting the need for a more efficient solution. After migration to Oracle Base Database Service, the company recognized a noticeable operational cost reduction while improving system performance.

Large enterprises often have diverse database requirements, including handling critical and unpredictable workloads. Basse Database Service allows customers to scale up to 200 ECPUs and 40 TB of storage to run critical application while maintaining flexibility and operational control.

Example: A large luggage manufacturing and retailer used Oracle APEX on Base Database Service to deploy a luggage-as-a-service application that supports customers globally with reduced downtime and costs. The app is designed to save time and money by handling passenger claims and repairs for damaged luggage.

Small businesses often have dynamic and unpredictable workloads. Autonomous Database is ideal for this scenario. It lets small enterprises focus on their core business without the overhead of managing database infrastructure.

Example: A small e-commerce startup uses Autonomous Database as the foundation of its online store because the database can scale automatically based on demand, ensuring the best performance during peak sales periods and lowering costs when demand is low.

Mid-sized enterprises often have growing data needs that require a cost-effective and scalable solution. Autonomous Database lets them to pay for only what they use, making it a flexible and economical choice.

Example: A mid-sized SaaS company offering customer relationship management (CRM) solutions uses Autonomous Database for their service. As their customer base grows, the database can scale seamlessly, ensuring they only pay for the resources consumed during that period. This helps them manage costs effectively while delivering a reliable service to their clients.

Large enterprises often have diverse database requirements, including handling critical and unpredictable workloads. Autonomous Database provides the flexibility to accommodate such needs without the complexity of managing the infrastructure.

Example: A large retail chain use Autonomous Database for its inventory management system. During seasonal sales or promotional events, the database can automatically scale to handle increased transaction volumes, ensuring smooth operations. The autonomous capabilities also reduce the burden on the IT team, letting them to focus on strategic initiatives.