Mission File · DB-11 · Schema & Performance

Your Schema Was Built
For 50 Users. Not 10,000.

Every wide table, missing index, and JSON-column-doing-too-much was fine at launch. At traction, it's the bill, the latency, and the 3am incident.

200+
Schemas Rebuilt
−82%
Avg. Query Time
0
Data Loss Incidents
// QUERY.PROFILER SCANNING
14 N+1s eliminated
Database Hero is rewriting access patterns live.
users.list1.2s → 18ms
orders.feed840ms → 22ms
analytics.qindexed
rls.policiesaudited
dead.indexes−9
vacuum.healthGREEN
TUNED
SAFE
// ACT.ONE

Every Startup Schema Eventually Bites Back.

// MONTH 1

You ship with one wide `users` table. It works.

// MONTH 4

You add a JSON column called `metadata`. Just for now.

// MONTH 8

You hit 10k rows. The dashboard takes 4 seconds to load.

// MONTH 12

Postgres CPU is at 90%. You don't know which query is doing it.

// MONTH 13

An RLS policy leak exposes data between tenants.

// RESCUE

Database Hero migrates the schema, fixes the indexes, and audits the policies - without downtime.

// MISSION.BRIEFING

The architecture pass AI tools quietly skipped.

Database Hero audits your schema, query patterns, indexes, and access policies - then rebuilds the foundation so your product can grow 100x without the database becoming the bill or the bottleneck.

One operator. One schema. Zero downtime migrations.

userstable
◆iduuid PK
emailtext
◇tenant_iduuid FK
created_attimestamptz
⚡ idx_users_tenant
orderstable
◆iduuid PK
◇user_iduuid FK
amountnumeric
statusenum
⚡ idx_orders_user_status
audit_logtable
idbigserial
◇user_iduuid FK
actiontext
attimestamptz
⚡ idx_audit_user_at
PKFKINDEXRLS
// MISSION.CAPABILITIES

What we rebuild when we touch your data.

▦

Schema Redesign

Normalize what should be normalized. Denormalize what should be fast. Kill the catch-all JSON columns.

⚡

Index Strategy

Add the indexes you're missing. Kill the dead ones. Use partial and composite indexes where they actually help.

🔒

RLS / Auth Audit

Row-level security policies that actually hold under attack. Roles separated. Multi-tenancy isolated.

🔁

Zero-Downtime Migrations

Online migrations with backfills, dual-writes, and feature flags - never a maintenance window.

💾

Backups & Recovery

PITR set up, restore tested, RTO/RPO documented. So a bad migration isn't a company-ending event.

🔄

Platform Migrations

Firebase → Postgres, Airtable → Supabase, MongoDB → relational - done with zero data loss.

// DISTRESS.SIGNALS

You need Database Hero if…

!
One page takes more than 2 seconds to load
And it's not the frontend. It's a query touching 12 tables with no indexes.
!
You have a 'metadata' or 'data' JSON column
It started small. Now your most important data lives in an unindexed blob nobody can query.
!
Your RLS policies are 'mostly correct'
Mostly correct is a data leak waiting to happen. Multi-tenant apps need provably-correct policies.
!
You're on Firebase and growth is hurting
Reads are billing you. Joins are impossible. You need relational and you've been putting it off.
!
Migrations cause downtime
Or worse, fear. So you stop running them. So your schema rots.
!
Backups exist but you've never restored one
Untested backups are not backups. They're optimistic file storage.
// WHY.THIS.HAPPENS

AI prompts ship features. They don't ship a schema that scales.

Every AI tool that scaffolds a database makes the same trade-off: ship something that works for the demo, defer everything that matters at scale. JSON columns instead of relations. No indexes. Permissive policies. Single-tenant assumptions.

It's fine until you have real users. Then your queries linearly slow down with row count, your bill goes vertical, and a misconfigured RLS rule becomes a security incident.

Database Hero fixes the foundation while the building is still standing - zero-downtime migrations, proper indexes, audited policies, tested backups. So traction is a celebration, not a crisis.

The database is the only piece of your stack that's expensive to replace later. Get it right once.

// CHOOSE.YOUR.TIER

Pick the rescue that fits your mission.

Fixed-price, no surprises. Pick the closest tier and we'll confirm scope on the first call.

Health Check
Audit + quick wins.
$45/hr
3–5 days

// What's included

  • Tables redesigned: Audit only
  • Indexes added / pruned: Recommendations
  • Post-delivery support: 14 days
Schema Refit
Top tables redesigned.
$50/hr
2–3 weeks

// What's included

  • Tables redesigned: Top 5
  • Indexes added / pruned: Top 20 queries
  • RLS / auth policy audit
  • Zero-downtime migrations: Up to 2
  • Backups + restore drill: Setup
  • Post-delivery support: 30 days
Most popular
Full Architecture
Migrate + harden + scale.
$60/hr
4–6 weeks

// What's included

  • Tables redesigned: Full schema
  • Indexes added / pruned: Full coverage
  • RLS / auth policy audit: Pen-tested
  • Zero-downtime migrations: Full plan
  • Backups + restore drill: Tested restore
  • Replicas / read scaling
  • Platform migration: Included
  • Post-delivery support: 60 days
DBA Watch
On-call DBA.
$3,000 – $6,000/mo
Ongoing

// What's included

  • Tables redesigned: As needed
  • Indexes added / pruned: Reviewed monthly
  • RLS / auth policy audit: Re-audited
  • Zero-downtime migrations
  • Backups + restore drill: Quarterly drill
  • Replicas / read scaling: Tuned
  • Platform migration: As needed
  • Post-delivery support: Always on
  • Dedicated Slack DBA
// PRICING.FAQ

Questions before we deploy?

Everything founders ask before kicking off a rescue mission.

Build a foundation that survives growth.

The database is the most expensive part of your stack to fix later. Let's do it right now.

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