Custom Database Engine for Startups: Scale to 1M+ Users
5 min read
Startups usually start on PostgreSQL or a managed NoSQL service. As you approach 1M+ users, one or two data patterns often dominate—and that’s when a custom engine can reduce cost and latency without rewriting the whole product.
- DB cost is growing faster than revenue – Your RDS or DynamoDB bill is a big line item.
- One or two patterns dominate – e.g. session lookup, real-time state, or event append. The rest of the app is “normal” CRUD.
- Latency is inconsistent – p99 spikes despite tuning; users or partners notice.
Don’t replace everything. Add a custom engine only for the dominant hot path (e.g. session store or event ingest). Keep your existing DB for user accounts, billing, and reporting. Migrate traffic gradually.
For a single hot-path layer: 10–16 weeks, $40K–$80K USA/Canada or ₹15–35 lakh India. Enough to get to 1M+ users on the hot path with predictable cost and latency. At Hendoi we build custom database engines (VeloxDB) for USA, Canada, and Bengaluru. Contact us for a free quote.
Frequently asked questions
When DB cost is a major expense, one or two access patterns dominate traffic, or latency is inconsistent at scale. Often around or after 1M users for the hot path.
No. Add a custom engine for the hot path only; keep PostgreSQL or your current DB for the rest. Migrate the hot path gradually.
For a single hot-path layer (e.g. sessions, cache), expect roughly $40K–$80K USA/Canada or ₹15–35 lakh India, 10–16 weeks. [Contact Hendoi](/contact) for a quote. 📞 +91-9677261485 | 📧 support@hendoi.in | [Contact us](/contact)
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