Understanding sharded query lifecycles is essential for engineers scaling relational databases. It reveals the trade-offs in query routing and aggregation necessary for high-performance distributed systems.
Follow a SQL query through the router, across four Postgres shards, and back.
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Read full articleNeki solves the scaling limits of single-instance Postgres without sacrificing compatibility or forcing application-level sharding. It provides a managed path to horizontal scaling with online operations, making it easier to handle massive workloads while keeping standard Postgres tools.
Neki enables Postgres to scale horizontally by decoupling connection management and query routing from the core engine. It allows developers to use standard drivers while transparently handling sharding, complex distributed queries, and high connection counts.
Large tables in Postgres create systemic risks, from vacuum bloat to transaction ID wraparound. Understanding how to mitigate these through partitioning or sharding is critical for maintaining high-availability systems as data scales beyond the limits of vertical hardware.
Understanding the evolution of database sharding helps engineers choose between application-level logic, proxy-based routing, or extension-driven distribution when scaling relational workloads beyond a single node's capacity.