PgDog Review

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Is your PostgreSQL database groaning under heavy load? Meet PgDog, the open-source connection pooler, load balancer, and sharding proxy that enables horizontal scaling for PostgreSQL without changing your app. This drop-in solution is proven in production to handle 20 TB+ sharded data and 2M+ queries/s, making it your database’s unsung hero for massive scalability.

PgDog Review
Uniqueness 88%
The uniqueness score is 88%.
Utility 68%
The utility score is 68%.
Innovation 68%
The innovation score is 68%.
Ease of Use 73%
The ease of use score is 73%.

PgDog’s Scaling Superpowers: Three Tools in One

  • Connection Pooler: Bypass Postgres connection limits. PgDog shares connections among 100,000+ clients in real transaction mode, preserving native features (SET, LISTEN/NOTIFY). Multi-threaded, async, handling 50,000+ transactions/s with full prepared statement compatibility.
  • Load Balancer: Achieve high availability effortlessly. PgDog distributes read queries across replicas, intelligently detects replication lag/failures, and manages primary failovers. A single endpoint automatically splits reads to replicas, ensuring writes hit the primary.
  • Distributed Database (Sharding Proxy): The ultimate horizontal scalability. PgDog transparently shards Postgres by extracting keys from queries, routing to the correct shard. Queries without a key execute in parallel. Supports both Fast OLTP and comprehensive Fast OLAP, maintaining full ACID compliance across cross-shard transactions.

PgDog: Your Mission-Critical Scaling Partner

If scaling PostgreSQL to enterprise levels – managing petabytes, millions of queries, or ensuring rock-solid ACID compliance across a distributed setup – is your mission, PgDog is your essential tool. Backed by a $5.5M seed round and robust production deployments, it’s designed for developers and ops teams demanding high performance and simplicity.

Scaling Challenge PgDog Solution
Application changes for scaling Zero-code drop-in proxy
Managing replica reads/writes Automated load balancing
Manual sharding complexity Transparent, config-driven sharding

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