: 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
: Queries are parsed, optimized, and pushed down to be executed concurrently on the specific nodes holding the relevant data slices. How MariaDB achieves global scale with Xpand
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 : To maintain strict database consistency at a
: 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. This allows enterprises to handle millions of transactions
: 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.