In-memory data grids offer faster and more reliable query performance compared to other database solutions.

Data can be distributed across multiple nodes, allowing for horizontal scaling of the database cluster.

Queries are split into smaller parts and distributed to all the nodes in the grid, enabling higher query throughput.

In-memory data grids enable real-time processing of queries, allowing applications to obtain answers faster.

The distributed nature of these data grids provides resilience against single node failure and improved performance due to increased data locality.

Automatic sharding of data across the grid makes it easy to partition large datasets into clusters of nodes.

Advanced indexing options provide improved query optimisation for more complex queries, making query execution faster.