PgDog GTM brain
PgDog provides a PostgreSQL proxy for engineering teams that need connection pooling, replica routing and horizontal sharding.
category
PostgreSQL scaling infrastructuremarket 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 leadpains:
- Application connection spikes overwhelm database backends.
- Distributing reads across replicas and handling lag or failover creates operational work.
- title: CTO at a scaling SaaS companypains:
- A single Postgres primary limits write and data growth.
- Application-level sharding requires substantial engineering and maintenance.
- title: Site reliability engineerpains:
- 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: PgBouncerwhy: Established PostgreSQL connection pooler, without PgDog's broader sharding focus.
- name: Pgpool-IIwhy: Postgres proxy offering pooling and load balancing.
- name: Cituswhy: 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
hybridchannels
- GitHub
- developer community
- technical blog
- sales demos
confidence
highFounders
- name: Lev Kokotovtitle: Founder/CEOrole: CEObio: Second time technical founder, sharded Postgres at Instacart in 2020 during peak growth. Previously built PostgresML (AI + PostgreSQL = 🚀).