: Tables and their associated indexes are broken down into small units called "slices". Unlike other distributed databases that keep indexes local to a node, Xpand distributes indexes independently across the cluster. This prevents "scatter/gather" inefficiencies and allows queries to pinpoint the exact node containing the required data.

: To maintain strict database consistency at a massive scale, Xpand relies on the Paxos consensus algorithm to handle distributed transaction resolution, ensuring full ACID compliance. ⚖️ Automated Elasticity and Load Balancing How MariaDB Achieves Global Scale with Xpand

: Every node in an Xpand cluster is independent. There is no central point of contention, allowing the system to scale out simply by adding more commodity hardware.

: Queries are parsed, optimized, and pushed down to be executed concurrently on the specific nodes holding the relevant data slices.

Instead of routing all writes to a single primary node, MariaDB Xpand distributes both data and processing power across a cluster of independent nodes. This allows enterprises to handle millions of transactions per second with linear read and write scalability. 🚀 Core Pillars of Xpand's Scalability