I’m building a backend layer for Google Sheets

A lot of MVPs do not start with PostgreSQL, MongoDB, Firebase, or a carefully designed backend architecture.

They start with a spreadsheet.

That might sound messy, but it makes sense.

Google Sheets is fast.
Everyone knows how to use it.
Non-technical teammates can update data directly.
Clients can manage their own content.
Founders can validate an idea before spending weeks on infrastructure.

For many early products, Google Sheets is not the “best database.”

It is the fastest starting point.

But the problem starts when the product grows even a little.

The common pattern

I kept seeing the same workflow:

Google Sheet → MVP → frontend needs data → build custom API → build admin dashboard → add auth → add permissions → add guardrails

At the beginning, the spreadsheet is enough.

But then the product needs:

• a REST API
• a dashboard
• API keys
• access control
• validation
• usage limits
• relations between sheets
• a way to migrate later

At that point, teams often rebuild the same backend plumbing again and again.

Not because the product idea needs complex infrastructure yet.

But because there is no clean bridge between “spreadsheet” and “real backend.”

That gap is what I wanted to explore.

Why Google Sheets keeps showing up

Google Sheets is not popular because it is technically perfect.

It is popular because it matches how people actually work.

A founder can edit product data.
An agency can hand a client a familiar interface.
An operations team can maintain a catalog or CRM.
A developer can prototype without creating a full admin panel.

For early-stage products, that matters.

The real issue is not that people use Sheets.

The issue is that once an app depends on that data, the spreadsheet needs a safer interface around it.

Directly connecting an app to a sheet is fragile.

You usually need a layer that handles:

• authentication
• API structure
• rate limits
• caching
• permissions
• schema detection
• dashboard access
• migration paths

That is the layer I’m building with TarangDB.

What TarangDB does

TarangDB turns Google Sheets into a secure REST API and dashboard.

The basic flow is:

Google Sheet → TarangDB → REST API + Dashboard → MVP / Internal Tool / Client Portal

Instead of building backend boilerplate from scratch, you can connect a sheet and get:

• auto-generated REST endpoints
• a CRUD dashboard
• API-key protected access
• usage limits and guardrails
• caching
• row-level security
• relations across sheets
• a path to migrate later

The goal is not to replace every database.

TarangDB is for the stage where speed matters more than perfect infrastructure.

When you are validating an idea, building a client portal, creating an internal tool, or shipping an MVP, you often just need something that works quickly and safely enough.

Example use cases

Some examples where this can be useful:

MVP backend

You have a simple SaaS idea and need a quick backend for early users.

The data model is still changing, and setting up a full database feels too early.

Client portal

An agency builds a portal for a client, but the client wants to manage data in a familiar tool.

The client updates Google Sheets.
The app consumes a controlled API.

Product catalog

A small business already manages products in Sheets.

TarangDB can expose that catalog through an API and dashboard without replacing their workflow immediately.

Internal tool

A team needs a lightweight dashboard for ops, inventory, leads, tasks, or reports.

They do not want to build backend infrastructure just to manage simple operational data.

Public read-only dashboard

Some data needs to be shown publicly, but the raw spreadsheet should not be exposed.

A controlled API or dashboard layer makes that safer.

What TarangDB is not trying to be

I do not think Google Sheets should replace PostgreSQL.

I do not think every serious product should run on spreadsheets forever.

And I do not think every workload belongs in Sheets.

TarangDB is not for:

• high-frequency systems
• complex transactional workloads
• large-scale social networks
• mission-critical database systems
• ultra-low-latency applications

The idea is different:

Start simple.
Ship faster.
Validate the workflow.
Move to a real database when the product actually needs it.

In other words, Sheets can be the starting point, not the final architecture.

The migration problem

One reason teams hesitate to use spreadsheets early is fear of lock-in.

That is fair.

If the app is tightly coupled to the spreadsheet, migration becomes painful.

So one of the ideas behind TarangDB is to keep a stable API contract.

Your frontend talks to an API.

Today, the source can be Google Sheets.

Later, the source can be Postgres or another database.

That makes the spreadsheet a temporary backend source, not a permanent architectural trap.

Why I’m building this

I picked this idea because it solves a practical workflow problem.

Many early products already start with spreadsheets.

But once they need to become real apps, teams have to choose between two imperfect options:

1. keep hacking around the spreadsheet
2. rebuild everything too early

I want TarangDB to sit in the middle.

Keep the speed and familiarity of Google Sheets.
Add the backend layer developers actually need.
Give teams a cleaner path to grow later.

Current status

TarangDB is currently in public beta.

I’m focusing on:

• improving onboarding
• making API generation smoother
• strengthening dashboard workflows
• adding practical guardrails
• learning from developers, indie makers, and agencies

The product is especially built for MVPs, internal tools, client portals, agency projects, and low-to-medium traffic apps.

Feedback I’m looking for

I would love feedback from anyone who has used Google Sheets as an early backend or data source.

A few questions I’m thinking about:

• Have you used Google Sheets or Airtable as the first database for an MVP?
• What broke first: API access, permissions, performance, validation, or migration?
• Would you rather use this as a developer tool, an agency tool, or an internal tool builder?
• At what point would you move from Sheets to Postgres?

You can check it out here:

tarangdb.com

I’d love to hear what you think.