We already have a DBA vendor
We complement operations teams by focusing on application-facing schema and query design — the layer ORMs hide. Deliverables are merge-ready artifacts, not open-ended staff augmentation.
Data Lattice Consulting Pte. Ltd. · UEN 201912733K ·
Registered business details
Data Lattice Consulting
When ORM-generated SQL stalls production, the fault is usually schema shape, missing indexes, or connection pooling — not “buy a bigger server.” We take project-based engagements to redesign tables, tighten queries, and document access patterns before you scale spend.
Call 6000 1909
See how engagements workMost teams discover their data model was built for demos, not for concurrent writes, reporting joins, or migration safety — after latency budgets are already broken.
Where database projects stall
Nullable foreign keys without matching indexes force sequential scans on child tables. Wide VARCHAR columns hide cardinality problems until explain plans balloon. Read replicas mask write-path contention instead of fixing hot rows.
We map the actual query shapes your services issue — including ORM N+1 paths — against the physical schema, then propose structural changes with migration ordering that keeps rollback viable.
Engagements are scoped in writing: deliverables, review checkpoints, and fees are agreed before implementation work starts.
Engagement rhythm
Discovery call
You share stack, datastore engines, and the slow endpoints or migration risks. We confirm whether schema review, query tuning, or both fit the timeline.
Written scope
We document tables in scope, access patterns to optimize, tooling constraints, and milestone fees. Nothing billable begins until you accept the scope document.
Delivery & handover
Revised DDL or migration scripts, index recommendations, and annotated explain plans go to your repository. A short readout covers operational risks and monitoring hooks.
Physical design decisions matter
Partitioning strategy, partial indexes, and materialized aggregates each trade storage for predictable latency. We document why a path was chosen so your team can extend the model without reopening every join.
Work stays on your infrastructure credentials under agreed confidentiality terms; we do not resell tooling or managed database subscriptions.
Common objections
Can you quote a fixed package price?
Fees depend on table count, environment access, and whether production profiling is required. After discovery we issue a fixed-fee statement of work; exploratory audits stay time-boxed.
Do you support NoSQL only stacks?
Our core work is relational engines (PostgreSQL, MySQL, SQL Server) and their drivers. Document stores are in scope only when they participate in cross-store reporting paths you need optimized.