PgDog GTM brain

PgDog provides a PostgreSQL proxy for engineering teams that need connection pooling, replica routing and horizontal sharding.

category

PostgreSQL scaling infrastructure

market profile

  • text: Postgres teams face connection limits, replica routing and single-node scaling pressures as workloads grow.
  • text: Proxy, extension and managed database approaches compete to scale Postgres, each with different deployment tradeoffs.

personas

  • title: Platform or database engineering lead
    pains:
    • Application connection spikes overwhelm database backends.
    • Distributing reads across replicas and handling lag or failover creates operational work.
  • title: CTO at a scaling SaaS company
    pains:
    • A single Postgres primary limits write and data growth.
    • Application-level sharding requires substantial engineering and maintenance.
  • title: Site reliability engineer
    pains:
    • Adding a proxy can introduce latency or driver compatibility problems.
    • Stale replicas and failovers need predictable routing and observability.

icp

  • text: Software companies operating production PostgreSQL with high connection counts, growing data volumes or multiple read replicas.
  • text: Engineering-led teams able to self-host a database proxy, including teams on managed Postgres services such as AWS RDS.

message pillars

  • text: Consolidate three database scaling functions in one executable.
  • text: Deploy a proxy without application changes.
  • text: Share a small number of backend connections among many clients.

objections

  • objection: Will the proxy support our drivers and PostgreSQL features?
    response: PgDog claims support for prepared statements and session state; test the actual drivers and queries in staging.
  • objection: Is a young proxy safe on our critical database path?
    response: Run a representative load test, failover exercise and rollback rehearsal before production adoption.
  • objection: What about cross-shard query latency and correctness?
    response: Benchmark the application's real query mix and transaction semantics rather than relying on generic throughput numbers.

competitors

  • name: PgBouncer
    why: Established PostgreSQL connection pooler, without PgDog's broader sharding focus.
  • name: Pgpool-II
    why: Postgres proxy offering pooling and load balancing.
  • name: Citus
    why: Postgres extension offering a different horizontal scaling architecture.

keywords

  • Postgres sharding
  • PostgreSQL connection pooler
  • PgBouncer alternative
  • Postgres read replica load balancing
  • horizontal scaling PostgreSQL
  • PostgreSQL proxy

voice

  • Technical
  • Direct
  • Performance-focused

signals

  • text: A team is seeing Postgres connection exhaustion or evaluating PgBouncer replacements.
  • text: A SaaS platform is adding replicas or planning to shard a growing database.

stack

  • PostgreSQL
  • Rust
  • Docker
  • Helm

pricing

model: unknown

motion

hybrid

channels

  • GitHub
  • developer community
  • technical blog
  • sales demos

confidence

high

Founders

  • name: Lev Kokotov
    title: Founder/CEO
    role: CEO
    bio: Second time technical founder, sharded Postgres at Instacart in 2020 during peak growth. Previously built PostgresML (AI + PostgreSQL = 🚀).

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