When Your SaaS Needs a Custom Database (Not Just SQL)

Most SaaS products run fine on PostgreSQL, MySQL, or a managed NoSQL service. Some hit a wall where a custom database layer is the right move.

• •One or two patterns dominate – e.g. “get/set by key” or “append and read last N.” Generic SQL is overkill and often slower and more expensive.
• •Database is the main cost – At scale, your DB bill (RDS, DynamoDB, etc.) dominates and keeps growing with traffic. A lean custom layer can cut that 40–70%.
• •p99 latency is never good enough – You’ve tuned queries, connection pooling, and caching, but the DB still spikes. A purpose-built engine can give predictable sub-ms p99.
• •You’re working around the DB – Heavy denormalization, external caches, or complex sharding that exist only to compensate for the wrong data model.

Not replacing all of SQL. Adding a dedicated engine for the hot path (sessions, real-time state, metrics) and keeping SQL for everything else. At Hendoi we build custom database engines (VeloxDB) for USA, Canada, and Chennai. Contact us for a free quote.