Reduce Database Cost 50%+ With a Custom Engine (2026)
5 min read
Cloud database bills (RDS, DynamoDB, ElastiCache, etc.) can dominate infra cost at scale. A custom engine for the hot path often cuts that bill by 40–70%.
You pay for capacity (CPU, RAM, storage) and often for features you don’t use on the hot path (full SQL, multi-version concurrency, generic replication). At millions of QPS, that adds up. A lean custom engine uses fewer resources for the same workload because it only does what you need.
- Fewer nodes – Same throughput with a smaller cluster.
- Less memory – No generic indexing or buffer pool overhead.
- Targeted persistence – Only durability you need; no extra write amplification.
- No license or managed markup – You own the code; run on your own VMs or Kubernetes.
When DB cost is a large share of infra and your hot path is one or a few predictable patterns. You keep a standard DB for the rest. At Hendoi we build custom database engines (VeloxDB) for USA, Canada, and Bengaluru. Contact us for a free quote.
Frequently asked questions
Yes, when the hot path is a narrow set of access patterns. A purpose-built engine uses fewer nodes and less memory than a general-purpose DB for the same workload, which directly cuts cloud spend.
No. Most teams add a custom engine only for the hot path (e.g. sessions, cache, real-time state) and keep PostgreSQL, MySQL, or DynamoDB for everything else.
Share your current DB usage (QPS, data size, cost) and access patterns. [Hendoi](/contact) provides free consultations and quotes for USA, Canada, and India. 📞 +91-9677261485 | 📧 support@hendoi.in | [Contact us](/contact)
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