Software Engineering

Database Engineering & Optimization

Schema design, index and query tuning on PostgreSQL and MS SQL Server — measured before and after.

Database optimization is changing the schema, the indexes, and the queries on the evidence of measurement, so that the same hardware answers faster. GG Tech's Database Engineering & Optimization service starts from the slow-query log and wait statistics rather than opinion, designs the schema and indexes, rewrites the expensive queries, and proves the difference under load. We work on PostgreSQL and MS SQL Server.

GG Tech Teknoloji estimation modelDatabase Engineering & Optimization · Last reviewed: 2026-06-13
Typical team1 database engineer + 1 developer
Calendar band28 weeks
Phase split30% measurement & profiling · 35% schema & indexes · 25% query rewriting · 10% load verification

What grows the budget

  • Data volume
  • Concurrent users
  • How far the schema may change
  • Available maintenance window

Signs of underbudgeting

  • Slow-query logging switched off
  • No measurement from production

These are GG Tech Teknoloji planning bands, not a quote — we do not publish prices. Every project is different, so the bands are deliberately wide; they assume a senior, focused team and typical scope, and your project is estimated individually.

How we work

  1. 1

    Measurement first

    Slow-query log, wait statistics, execution plans. Nothing is changed before there is a baseline to compare against.

  2. 2

    Schema and index design

    Normalization decisions, partitioning, the indexes that are missing — and the ones that only cost you writes.

  3. 3

    Query rewriting

    Expensive queries are rewritten and re-measured one at a time, so every change carries its own before/after number.

  4. 4

    Verification under load

    The gain is confirmed at production data volume and concurrency, not on an empty test database.

What we deliver

Database Engineering & Optimization

Schema design, index and query tuning on PostgreSQL and MS SQL Server — measured before and after.

Our team combines domain expertise, modern engineering, and research-driven design to build solutions that scale. We work in focused sprints with clear milestones and measurable outcomes.

Performance baseline report
Schema and index plan
Per-query before/after measurements
Reversible migration scripts
Concurrency and locking review
Monitoring dashboard and alert thresholds

Proof from production

80

entities under one schema

66

migrations shipped to production

3

separate environments

Figures from the Çekmeköy Municipality central system, read from the codebase rather than estimated.

Read the case study: Çekmeköy Belediyesi

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