Neki brings proven sharding expertise from the Vitess team to the Postgres ecosystem, enabling massive horizontal scaling for Postgres users. This provides a path for high-growth applications to scale without abandoning the Postgres feature set or switching to proprietary solutions.
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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.
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.
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.
