What databases do you specialize in?

Postgres (and Supabase), Firebase Firestore, MongoDB, MySQL, Airtable, Notion DB. Most projects end up on Postgres because it's the right answer for most products.

Can you actually migrate without downtime?

Yes, for almost any size — dual-writes, online backfills, shadow reads, and feature flags. We've migrated 100M+ row tables with no maintenance window.

What if my data is on Firebase and I want Postgres?

That's our most common migration. We map collections to relations, write a sync layer, dual-write for confidence, then cut over.

Will you touch my application code?

Yes, where the data layer is the cause of bad code patterns — N+1s, missing transactions, wrong client. We ship clean PRs.

How do you audit RLS policies?

We write tests that attempt to read/write across tenants and roles, then run them in CI. Any leak fails the build. No more 'mostly correct.'

What if my schema is fine but queries are slow?

Health Check often finds 80% of perf wins are index changes and query rewrites — not schema redesigns.

How does payment work?

Fixed-price tiers split 50/50. DBA Watch is monthly, cancel anytime with 14 days notice.

Do I own all the changes?

Yes. Your repos, your migrations, your runbooks. Everything documented and version-controlled.

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.

Deploy Database Hero Schema Diagnostic Take the Assessment →

200+

Schemas Rebuilt

−82%

Avg. Query Time

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.

$1,500 – $3,000

3–5 days

// What's included

Tables redesigned: Audit only
Indexes added / pruned: Recommendations
Post-delivery support: 14 days

Schema Refit

Top tables redesigned.

$5,000 – $12,000

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

// 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

Compare pricing & deliverables across all services →

// COMPARE.PACKAGES

Side-by-side, no fine print.

Every tier compared in one table so you can pick with confidence.

Swipe to compare tiers →4 tiers

Feature	Health Check $1,500 – $3,000	Schema Refit $5,000 – $12,000	Full Architecture $15,000 – $35,000	DBA Watch $3,000 – $6,000/mo
TimelineFrom kickoff to delivered, tuned database.	3–5 days	2–3 weeks	4–6 weeks	Ongoing
Tables redesignedHow much of your data model we restructure.	Audit only	Top 5	Full schema	As needed
Indexes added / prunedRight indexes for your real queries, dead ones removed.	Recommendations	Top 20 queries	Full coverage	Reviewed monthly
RLS / auth policy auditRow-level security policies tested against escalation and tenant leak attacks.			Pen-tested	Re-audited
Zero-downtime migrationsOnline migrations with backfills and dual-writes — no maintenance windows.		Up to 2	Full plan
Backups + restore drillPITR configured AND restore actually tested under realistic conditions.		Setup	Tested restore	Quarterly drill
Replicas / read scalingRead replicas for analytics and heavy reads, properly routed.				Tuned
Platform migrationFirebase → Postgres, Airtable → Supabase, Mongo → relational.			Included	As needed
Post-delivery supportHow long after delivery we fix issues at no extra cost.	14 days	30 days	60 days	Always on
Dedicated Slack DBAA real DBA in your Slack for same-day query / schema questions.
Pick a tier

// 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.

Browse all missions →

Your Schema Was BuiltFor 50 Users. Not 10,000.

Every Startup Schema Eventually Bites Back.

The architecture pass AI tools quietly skipped.

What we rebuild when we touch your data.

Schema Redesign

Index Strategy

RLS / Auth Audit

Zero-Downtime Migrations

Backups & Recovery

Platform Migrations

You need Database Hero if…

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

Pick the rescue that fits your mission.

// What's included

// What's included

// What's included

// What's included

Side-by-side, no fine print.

Questions before we deploy?

What databases do you specialize in?

Can you actually migrate without downtime?

What if my data is on Firebase and I want Postgres?

Will you touch my application code?

How do you audit RLS policies?

What if my schema is fine but queries are slow?

How does payment work?

Do I own all the changes?

Build a foundation that survives growth.

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