Software and TechnologyDatabase Scaling4HighDatabase administrator / Software engineer$ implied
Managing and scaling massive PostgreSQL databases (e.g., 10TB+ tables) is risky and unsustainable without built-in sharding, causing operational anxiety about future growth.
Native Postgres sharding is not available or robust enough, forcing teams into risky, manual workarounds or adoption of complex external solutions for data partitioning.
0
Severity
4High
Willingness to Pay
implied
Added
Jul 25, 2026
Workarounds Described
- Massive Pg deployments today exist because no built-in sharding option is available
Implied Software Gaps
- A built-in, transparent sharding solution for Postgres that handles data distribution without extensions or application changes
App Concept
PgDog
PgDog is a Postgres-native sharding layer that transparently distributes data across multiple nodes without application changes. It eliminates the need for manual partitioning or extensions, providing horizontal scalability and operational simplicity for massive tables.
Key Features
- Automatic data sharding and rebalancing
- No application code changes required
- Works with standard Postgres, no extensions needed
- Built-in failover and high availability
Target Users: Database administrators and platform engineers managing large-scale Postgres deployments in tech companies
Revenue Model: Open core with paid enterprise features (e.g., $500/mo per node for advanced sharding, support, and management console)
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