In a high-availability configuration, which two data store types are compatible with primary and standby failover mode?

In a high-availability configuration, using relational and tile cache data stores together is effective for maintaining seamless operations during primary and standby failover scenarios. Relational data stores are designed to handle structured data efficiently, allowing for rapid querying and transaction management, which is crucial for restoring service during failover events. Tile cache data stores provide pre-rendered mapping tiles that enhance performance for map rendering and can reduce the load on the relational database during high-traffic periods.

This combination allows for a robust failover strategy: the relational data store can quickly switch to the standby system without data loss while the tile cache can continue serving cached content, minimizing downtime and ensuring data availability. The synergy between these two types ensures that both real-time data needs and performance issues are addressed in a high-availability setup.

On the other hand, other combinations of data store types present limitations that may not fully support failover needs. For instance, file geodatabases are not typically designed for high-availability scenarios, and spatiotemporal data stores might not be as effective as relational stores when it comes to rapid failover performance and transactional integrity. Thus, the selected data store types must ensure both data consistency and accessibility during any system transitions to achieve an effective high-availability configuration.