When Your SaaS Needs a Custom Database (Not Just SQL)
5 min read
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 Bengaluru. Contact us for a free quote.
Frequently asked questions
Consider it when one or two access patterns dominate, database cost is a major line item, p99 latency can’t be met with tuning, or you’re building big workarounds (caches, sharding) around the DB.
No. Most teams add a custom engine only for the hot path (e.g. session store, real-time state) and keep PostgreSQL or MySQL for the rest (billing, admin, reporting).
Share your workload (access patterns, QPS, latency targets) and region. At [Hendoi](/contact) we provide free consultations and transparent quotes for USA, Canada, and India clients. 📞 +91-9677261485 | 📧 support@hendoi.in | [Contact us](/contact)
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