Apache AGE (Approximate Graph Engine) is designed to be a scalable and efficient system for performing graph analytics on large datasets stored in a relational database (RDB). However, the performance of AGE will depend on a number of factors, including:

• The size and complexity of the graph being analyzed
• The hardware and infrastructure being used to run AGE (e.g., the number and type of processors, the amount of memory available, the network configuration)
• The workload and query patterns being used (e.g., the number and complexity of queries being executed, the amount of data being processed)
• The configuration and tuning of the RDB being used (e.g., the type and version of the RDB, the indexing and partitioning strategies being used)

To get the best performance out of AGE, it is important to consider these factors and tune the system appropriately. For example, you may need to scale out the hardware or infrastructure being used to run AGE in order to handle larger graphs or more complex queries. Additionally, you may need to optimize the RDB configuration or tune the queries being executed to improve performance.

Overall, the performance of AGE can vary significantly depending on the specific use case and environment, so it is important to carefully consider and optimize these factors in order to get the best results.