Language Support: Refers to the programming languages for which the distributed caching solution

provides APIs or client libraries.

2. Partitioning & Replication: The ability to partition data across multiple nodes and maintain replicas for

fault tolerance and availability.

3. Eviction Policies: Strategies to remove data from the cache when it reaches capacity. Standard policies

include Least Recently Used (LRU), and Least Frequently Used (LFU).

4. Persistence: Storing cached data on disk allows cache recovery in case of node failure or restart.

5. Querying: Support for querying cached data using a query language or API.

6. Transactions: The ability to perform atomic operations and maintain data consistency across cache

operations.

7. High Availability & Fault Tolerance: Support for redundancy and automatic failover to ensure the cache

remains operational in case of node failures.

8. Performance: A measure of the cache's ability to handle read and write operations with low latency and

high throughput.

9. Data Structures: The types of data structures supported by the caching solution.

10. Open Source: Whether the caching solution is open-source and freely available for use and