Oracle Database performance refers to how efficiently the database system executes queries and manages resources. Key factors influencing performance include:

1. Query Optimization: Oracle uses a cost-based optimizer to determine the most efficient execution plan for SQL queries.

2. Indexing: Proper indexing can drastically reduce query time by allowing faster data retrieval.

3. Memory Management: The allocation of memory (like the System Global Area and Program Global Area) affects how data is cached and processed.

4. I/O Performance: Disk speed and configuration impact how quickly data can be read from and written to the database.

5. Concurrency and Locking: The way Oracle handles multiple users accessing the database simultaneously can affect performance.

6. Configuration and Tuning: Proper configuration and tuning of parameters, such as buffer sizes and parallel processing settings, can optimize performance.

7. Hardware Resources: CPU, memory, and storage capabilities directly impact database performance.

8. Partitioning: Breaking up large tables into smaller, manageable pieces can enhance performance for specific queries.

9. Network Latency: In distributed systems, the speed of the network can affect how quickly data is accessed.

10. Regular Maintenance: Tasks like statistics gathering, index rebuilding, and database upgrades can help maintain optimal performance.

Monitoring tools, such as Oracle Enterprise Manager, can help identify performance bottlenecks and provide insights for tuning.