Real-World Pricing Comparison - August 2025

Platform

Free Tier Reality

Entry Production

Mid-Scale

Enterprise

MongoDB Atlas

512MB M0
Shared CPU crashes during demos
Performance Advisor spams you
Borderline unusable

M10 Dedicated
$57.60/month (LIES)
Index overhead triggers M20
Bill varies $80-150/month
Backup costs hidden

M30 Standard
$250/month (minimum)
Auto-scaling fucks you
Where Atlas traps most victims
Data transfer kills budgets

M60+
$1,000+/month
Support finally answers calls
Still expensive as hell

PlanetScale

Nothing
Killed free tier March 2024
Betrayed indie developers
Pay to play only

PS-10
$39/month
At least it's predictable
3-node cluster included
Works without surprises

PS-20
$59/month base
$1.50/GB storage adds up
Still better than Atlas

Enterprise
Call for pricing
Probably expensive
But won't surprise you

Supabase

500MB + 50k MAU
Actually works in production
Auth + realtime included
The only non-evil free tier

Pro + Micro
$35/month total
Spend caps prevent disasters
Includes $150+ of extras

Pro + Small
$65/month total
ARM instances are fast
Real-time billing dashboard

Team Plan
$599/month
Still cheaper than Atlas disasters
SOC2 compliance

MongoDB Atlas: The Money Pit That Destroyed My Bootstrap Dreams

MongoDB Atlas Dashboard Billing

Why MongoDB Atlas Is Financial Cancer for Startups

MongoDB Atlas pricing is designed by sociopaths. Seriously. I spent 3 months thinking I was paying ~$60/month for an M10. Actual average bill? $180/month. Here's how they fuck you:

The Index Bloat Scam: MongoDB creates indexes automatically. They don't tell you this shit adds 20-40% storage overhead. My 8GB dataset became 12GB overnight because of indexes I didn't even know existed. M10 → M20 upgrade: **$115/month**. Support response? "Working as designed, dickhead." (Paraphrasing)

The Peak Usage Trap: They bill for your highest usage during the month. Traffic spike for 2 hours? You pay M30 rates ($250) for 30 days. This is capitalism distilled into pure malice.

Performance Advisor = Expense Generator: This tool suggests indexes like a dealer offers free samples. Every "performance optimization" costs 10-20% more storage. I ignored half their suggestions and saved $50/month. Some queries run 100ms slower. Who gives a shit?

Atlas Performance Advisor

What actually happened: Started on M10 thinking I was being smart. Then data grew. Then indexes multiplied like fucking cancer. First I tried upgrading to M30 thinking it was a performance issue. Spent an hour thinking it was a connection pooling problem. Support suggested "optimizing queries" which helped exactly zero.

Then Product Hunt hit and Atlas auto-scaled me into bankruptcy. Took me two months to notice I was still paying M30 rates because I'm an idiot. Oh, and backups cost extra because of course they do.

Should've spent maybe $300-400 total. Actual damage? Somewhere north of $900. Atlas works great if daddy's VC firm is paying. If you're bootstrapping, good luck sleeping at night.

PlanetScale: Premium MySQL for People with Actual Budgets

PlanetScale Vitess Architecture

PlanetScale murdered their free tier in March 2024. Absolute fucking betrayal of the developer community. Went from "try us for free!" to "$39/month minimum" overnight. Pure venture capital greed.

But here's the thing that pisses me off: it's actually worth the money.

Every PS-10 instance ($39/month) runs a 3-node Vitess cluster. While Atlas charges you extra for replica sets and backup, PlanetScale includes high availability by default. You get automatic failover that actually works, not like the half-broken shit MongoDB offers.

PlanetScale Production Branch Architecture

Storage costs will murder your budget: $1.50/GB total. 100GB database = $150/month JUST FOR STORAGE, plus your base plan. Never figured out why PlanetScale storage costs $1.50/GB when AWS charges like $0.10. Probably because of the 3x replication but their marketing doesn't explain the math.

Did the math once: 50GB app cost $114/month ($39 base + $75 storage) vs $250+ on Atlas for equivalent reliability.

Database branching is fucking magic. Zero-downtime schema changes saved my ass when I had to add indexes to a production table with 10M rows. On regular MySQL? 3AM maintenance window, sweating over potential data corruption. PlanetScale? Merge branch, done.

The catch: You need VC money or customers actually paying you. Bootstrap developers can get fucked, apparently. Classic SaaS move: free tier to build addiction, then paywall once you're hooked.

Supabase: The One That Doesn't Hate Poor Developers

Supabase Architecture Overview

Supabase is the only one that doesn't make me want to quit programming and become a farmer. While Atlas and PlanetScale focus on bleeding you dry for one database, Supabase gives you the whole fucking backend stack: PostgreSQL + auth + real-time + file storage + edge functions.

Free tier that actually works: 500MB database, 50k MAU. I ran a B2B SaaS to 5k users and $2k MRR on the free tier. Try doing that on Atlas without getting bankrupted.

Pro plan reality check: $25/month base, then you need compute credits. Micro instance ($10/month in credits) handles way more than you'd expect. So really $35/month gets you production-ready everything.

But here's why I love these fuckers: spend caps that actually work. Set $50/month limit, hit it, service pauses gracefully. No surprise $800 bills. No "oops we auto-scaled your database during a traffic spike" bullshit. Just civilized behavior from a company that remembers what it's like to bootstrap.

Supabase Real-time Architecture

My actual production costs:

  • Pro: $25/month
  • Small compute: $40/month (4GB ARM, handles 15k DAU)
  • Storage overage: maybe $3-5/month
  • Total: ~$70/month for what costs $300+ elsewhere

The magic: Usage-based billing that scales DOWN during low traffic. Atlas and PlanetScale charge you for peak capacity 24/7. Supabase says "you only had 100 users today? Here's a $2 bill." Revolutionary concept, apparently.

The One Trap They All Use to Fuck You

Data transfer costs. Nobody mentions this upfront because it's pure profit margin for them.

Atlas hits you with full AWS egress charges (~$0.12/GB). PlanetScale includes transfer in their higher plans, but PS-10 users get screwed. Supabase gives you 250GB free then $0.09/GB.

One Product Hunt launch cost me like $200-300 in transfer fees I had zero idea were coming. API-heavy app with image uploads? You're fucked on all three platforms, just different amounts of fucked.

Listen up bootstrap founders: Budget 2-3x whatever their calculators say. Every single one of these platforms has designed their pricing to maximize the gap between "estimated cost" and "actual bill." It's not an accident - it's the business model.

Database Cost Explosion

The Hidden Costs That'll Fuck Your Budget

Cost Factor

MongoDB Atlas

PlanetScale

Supabase

Data Transfer Out

AWS rates: ~$0.12/GB
Cost me $180 in one day
During viral launch

FREE on all plans
Unlimited egress
Actually unlimited

First 250GB FREE
Then $0.09/GB
Reasonable for most apps

Backups

$0.045-0.063/GB/month
Hidden until you get billed
Adds up fast

INCLUDED in all plans
Point-in-time recovery
No surprise charges

INCLUDED in paid plans
7-14 days retention
PITR: +$100/month

Multi-Region Setup

2-3x base cluster cost
M30 → $750/month total
Replica sets not cheap

BUILT-IN global
3 nodes, multi-AZ
No extra charges

$0.09/GB egress
Between regions only
Much cheaper than Atlas

Support Plans

Community → $1,000+/month
For actual human help
Garbage without premium

Business support included
In all plans
Actually responds

Community → Team $574/month
Email support in Pro
Pretty decent overall

Monitoring/Alerts

INCLUDED (basic)
Real monitoring costs extra

INCLUDED (good)
Query insights built-in

INCLUDED (decent)
Usage dashboard works

Connection Limits

Per-tier limits
Upgrade tier = more $$
Pooling helps but limited

Built-in pooling
Handles connections well
Vitess architecture

Built-in pooling
Through Supavisor
Rarely hit limits

Cost Optimization Is Just Damage Control

Database Cost Spiral

Atlas Index Hell: 6 Hours of Weekend Debugging

Performance Advisor is basically a drug dealer for indexes. "Your query is slow? Try this compound index! Also these 3 other indexes! Performance guaranteed!"

Took the bait. Added 8 indexes in one week chasing performance. Storage bloated from 8GB to 14GB. M10 → M20 automatic upgrade. Sunday morning: $115/month bill instead of $57.

The Index Purge Weekend:

Spent most of a Saturday deleting indexes like some sort of database janitor. Some were obviously stupid - had compound indexes when single field indexes already existed. Others... no fucking clue what they did.

Deleted something called user.profile.preferences.theme because how important could theme preferences be? Site immediately broke. Turns out some aggregation pipeline I wrote six months ago depends on it. Added it back. Deleted a different one and the dashboard got slower but whatever, users haven't noticed.

Final result: Storage dropped from like 14GB to maybe 9GB, back to M10. Some random queries are probably slower now. Don't know which ones. Don't really care as long as nothing's on fire. Spent 3 hours thinking the connection pooling was broken because Atlas kept dropping connections. Turns out it was just their shared M0 instance being garbage during peak hours.

MongoDB Index Storage Growth

Atlas damage control tactics that sometimes work:

M0 sandbox reality: Works for development until it doesn't. Randomly crashes during load testing. Perfect for impressing investors until the moment it shits itself during your demo.

Also factor in the tooling costs - MongoDB Compass is free but crashes constantly. TablePlus costs $89 but actually works. Atlas Compass is pretty but crashes if you look at it wrong. MongoDB Shell is fine until you need to format JSON output, then it's fucking useless. Ended up using TablePlus like everyone else.

PlanetScale: Expensive But Not Actively Evil

PlanetScale costs 3x more than reasonable, but at least their Query Insights actually helps instead of trying to bankrupt you. Shows slow queries, suggests optimizations that DON'T require adding 50 indexes.

The schema migration that saved my ass: Had to add a new column to a 10M row table. Regular MySQL = maintenance window at 3AM, praying the migration doesn't lock the table and kill the site.

PlanetScale: Create branch → Run migration → Test everything → Merge branch. Zero downtime. Zero prayer required.

Took maybe 30 minutes total. AWS RDS would've required scheduling downtime, creating read replicas, failing over, probably would've taken all weekend and definitely would've broken something.

PlanetScale Branch Workflow

The storage cost will kill you slowly: $1.50/GB total, but it's 3x replicated across regions with backups included. Did the math - 100GB database costs $150/month JUST for storage. That's before compute costs.

Random cost optimization discoveries:

Still expensive as fuck, but predictably expensive. No "surprise, your index bloat triggered an upgrade" bullshit.

Supabase: Why I Don't Hate This One

Supabase Cost Control

Supabase spend caps are the only ones that work like you'd expect. Set $50/month limit, hit it, service pauses gracefully with a reasonable message. No $800 surprise bills, no auto-scaling to the moon.

Free tier truth: 500MB database sounds tiny until you realize most side projects never hit it. Built a task management app to 3k users, used maybe 200MB. The 50k MAU limit is generous - Atlas free tier dies at like 500 connections.

Production scaling weirdness: Micro compute ($10/month) handled 10k DAU with zero issues. Upgraded to Small ($40/month) when I hit 15k DAU, mostly out of paranoia. Could've probably stayed on Micro for months longer.

Random discoveries that saved money:

The one expensive gotcha: PITR backups cost $100/month. Seems steep until your database gets corrupted and you realize backups are cheaper than unemployment.

Still don't understand why their free tier works so well when everyone else's is designed to fail.

The Dumb Experiment That Burned Money

I'm an idiot so I ran the same app on all three platforms for like 3 months. E-commerce thing, maybe 50k users, database was probably 30GB or something. Also tried migrating from Atlas to Supabase during this. Export worked fine. Import script failed 6 times because of some timestamp format bullshit. Ended up writing a custom migration script that took longer than just rebuilding the dataset.

Here's the disaster:

MongoDB Atlas: Bill kept changing every month. Sometimes $200, sometimes $300+. Auto-scaling kept fucking with me. Backups cost extra which I didn't know. Data transfer fees appeared out of nowhere. Had to pay for support when shit broke because free support is useless.

PlanetScale: At least this one was predictable. PS-20 plus storage, came out to like $100-ish every month. Data transfer included which was nice.

Supabase: Pro plan plus compute, ended up around $100/month too. But this included auth and real-time and all the other crap I'd have to pay extra for elsewhere.

The real kicker: Supabase included auth + real-time + file storage that would've cost me probably $150-200/month extra on Firebase Auth + Pusher + S3. Apples to apples, Supabase saved like $200+/month in additional services I didn't have to buy.

Lesson: Atlas is for people with money to burn. PlanetScale is for people with money to burn but want predictable burns. Supabase is for everyone else.

What I Actually Use Now

After burning through way too much money learning this shit: Supabase for everything new. I've moved 3 production apps from Atlas to Supabase. Bills went from like $200/month each to maybe $70/month each. Zero functionality lost, gained auth and real-time features I was paying extra for.

I run this on a 2021 MacBook Pro with 32GB RAM because 16GB wasn't enough for local MongoDB + Docker + VS Code + Chrome with 47 tabs open because I'm apparently incapable of closing anything. PlanetScale CLI breaks on Windows PowerShell because of some UTF-8 encoding bullshit, works fine on Mac. Atlas Compass crashes randomly on M1 Macs for no reason.

Still have one Atlas project running because migration would take forever and it's not worth my time. Every month that $180 Atlas bill reminds me why I hate vendor lock-in.

Bottom line: Don't pick based on features. Pick based on which one won't bankrupt you while you're trying to build something people actually want.

Shit I Wish Someone Told Me Before I Got Burned

Q

My app just got featured on Product Hunt - which platform won't bankrupt me from a traffic spike?

A

Supabase with spend caps enabled. Set your limit, and it'll pause instead of racking up charges. I learned this after a Hacker News front page hit cost me $300 in Atlas data transfer fees in one day.PlanetScale handles traffic spikes well because storage auto-scales without forcing plan upgrades. Atlas will auto-scale your instance mid-spike and charge you the higher tier for the full month.

Q

Which platform won't surprise me with a $500 bill?

A

Supabase. Their billing dashboard actually shows what you're spending in real-time. Atlas buried my backup costs in a sub-menu I didn't even know existed until month 3. PlanetScale's storage costs ($1.50/GB) are upfront but can add up fast. Atlas is the worst

  • "included" storage that suddenly isn't when you hit index overhead.
Q

I'm bootstrapping a startup - which has the best free tier that won't cripple my app?

A

Supabase free tier is actually usable: 500MB database, 50k MAU, auth included. Built and ran a B2B Saa

S to 5k users before needing to upgrade.Atlas free tier (512MB) is fine for MVP development but you'll hit limits fast. PlanetScale killed their free tier completely

  • fuck indie developers, apparently.
Q

What's the actual cost to run a typical SaaS with ~10k users and basic CRUD?

A

From experience running multiple apps:

  • Supabase: $35-50/month (Pro + Micro compute)
  • PlanetScale: $60-80/month (PS-10 + storage)
  • Atlas: $115-150/month (M20 minimum for decent performance)

But Supabase includes auth/real-time/storage that costs extra elsewhere. Total cost of ownership: Supabase wins.

Q

Which platform screws you the least on data transfer/egress costs?

A

PlanetScale includes unlimited data transfer in Scaler Pro plans. Supabase gives 250GB free then $0.09/GB. Atlas hits you with full AWS egress rates (~$0.12/GB).

For API-heavy apps, this matters. One viral feature launch cost me $180 in Atlas egress I didn't budget for.

Q

Why is my Atlas bill 3x what the calculator said it would be?

A

Probably index bloat. MongoDB's Performance Advisor suggests indexes that improve performance but kill storage. A 10GB dataset can become 15GB with indexes.

Also check if auto-scaling triggered during a traffic spike. Atlas will upgrade your tier mid-month and charge you the full higher rate.

Q

Is PlanetScale worth the premium over just using managed MySQL?

A

If you need zero-downtime schema changes, yes. Database branching saved my ass multiple times. Try doing a complex migration on AWS RDS without downtime - you'll appreciate PlanetScale.

For simple CRUD apps, probably not worth 3x the cost of managed MySQL.

Q

Which one has the least painful billing/support when shit goes wrong?

A

Supabase support responds fast and doesn't try to upsell you. PlanetScale support is solid but you pay premium prices.

Atlas support is garbage unless you pay $1,000+/month for premium support. Had a production issue once - took 3 days to get a real human.

Q

Can I actually run production apps on these free tiers?

A

Supabase: Yes, if you're under 50k MAU and 500MB data. Ran a productized side project to $2k MRR on free tier.

Atlas: Maybe for very light usage. The shared CPU will kill you if you get any real traffic.

PlanetScale: No free tier anymore. Pay to play.

Q

What's the most expensive surprise these platforms can hit you with?

A

Cloud Bill Shock

Atlas: Data transfer costs during traffic spikes. Also backup charges that aren't obvious upfront.

PlanetScale: Storage scaling on large datasets. $1.50/GB adds up fast.

Supabase: None if you set spend caps. Without caps, compute auto-scaling during traffic spikes.

Q

Should I just run my own PostgreSQL/MySQL on a VPS instead?

A

For simple apps? Maybe. $5/month Hetzner VPS with PostgreSQL beats all three on cost.

But you're responsible for backups, security updates, scaling, monitoring. I've been there - spending weekends fixing database issues instead of building features sucks.

Choose managed if your time is worth more than the cost difference.

Official Pricing Resources & Tools

Related Tools & Recommendations

compare
Recommended

I Tested Every Heroku Alternative So You Don't Have To

Vercel, Railway, Render, and Fly.io - Which one won't bankrupt you?

Vercel
/compare/vercel/railway/render/fly/deployment-platforms-comparison
100%
pricing
Recommended

Vercel vs Netlify vs Cloudflare Workers Pricing: Why Your Bill Might Surprise You

Real costs from someone who's been burned by hosting bills before

Vercel
/pricing/vercel-vs-netlify-vs-cloudflare-workers/total-cost-analysis
98%
pricing
Recommended

What Enterprise Platform Pricing Actually Looks Like When the Sales Gloves Come Off

Vercel, Netlify, and Cloudflare Pages: The Real Costs Behind the Marketing Bullshit

Vercel
/pricing/vercel-netlify-cloudflare-enterprise-comparison/enterprise-cost-analysis
85%
integration
Recommended

I Spent Two Weekends Getting Supabase Auth Working with Next.js 13+

Here's what actually works (and what will break your app)

Supabase
/integration/supabase-nextjs/server-side-auth-guide
75%
compare
Similar content

PostgreSQL vs MySQL vs MongoDB vs Cassandra: In-Depth Comparison

Skip the bullshit. Here's what breaks in production.

PostgreSQL
/compare/postgresql/mysql/mongodb/cassandra/comprehensive-database-comparison
73%
pricing
Recommended

Backend Pricing Reality Check: Supabase vs Firebase vs AWS Amplify

Got burned by a Firebase bill that went from like $40 to $800+ after Reddit hug of death. Firebase real-time listeners leak memory if you don't unsubscribe prop

Supabase
/pricing/supabase-firebase-amplify-cost-comparison/comprehensive-pricing-breakdown
72%
tool
Similar content

MongoDB Atlas Enterprise Deployment: A Comprehensive Guide

Explore the comprehensive MongoDB Atlas Enterprise Deployment Guide. Learn why Atlas outperforms self-hosted MongoDB, its robust security features, and how to m

MongoDB Atlas
/tool/mongodb-atlas/enterprise-deployment
63%
alternatives
Similar content

MongoDB Atlas Alternatives: Escape High Costs & Migrate Easily

Fed up with MongoDB Atlas's rising costs and random timeouts? Discover powerful, cost-effective alternatives and learn how to migrate your database without hass

MongoDB Atlas
/alternatives/mongodb-atlas/migration-focused-alternatives
56%
integration
Recommended

Stop Your APIs From Breaking Every Time You Touch The Database

Prisma + tRPC + TypeScript: No More "It Works In Dev" Surprises

Prisma
/integration/prisma-trpc-typescript/full-stack-architecture
55%
tool
Recommended

Prisma - TypeScript ORM That Actually Works

Database ORM that generates types from your schema so you can't accidentally query fields that don't exist

Prisma
/tool/prisma/overview
55%
compare
Recommended

Framework Wars Survivor Guide: Next.js, Nuxt, SvelteKit, Remix vs Gatsby

18 months in Gatsby hell, 6 months testing everything else - here's what actually works for enterprise teams

Next.js
/compare/nextjs/nuxt/sveltekit/remix/gatsby/enterprise-team-scaling
53%
compare
Similar content

MongoDB vs DynamoDB vs Cosmos DB: Production NoSQL Reality

The brutal truth from someone who's debugged all three at 3am

MongoDB
/compare/mongodb/dynamodb/cosmos-db/enterprise-scale-comparison
47%
tool
Recommended

Supabase - PostgreSQL with Bells and Whistles

alternative to Supabase

Supabase
/tool/supabase/overview
41%
tool
Recommended

Next.js - React Without the Webpack Hell

integrates with Next.js

Next.js
/tool/nextjs/overview
39%
howto
Recommended

MySQL to PostgreSQL Production Migration: Complete Step-by-Step Guide

Migrate MySQL to PostgreSQL without destroying your career (probably)

MySQL
/howto/migrate-mysql-to-postgresql-production/mysql-to-postgresql-production-migration
37%
howto
Recommended

I Survived Our MongoDB to PostgreSQL Migration - Here's How You Can Too

Four Months of Pain, 47k Lost Sessions, and What Actually Works

MongoDB
/howto/migrate-mongodb-to-postgresql/complete-migration-guide
37%
tool
Recommended

Render - What Heroku Should Have Been

Deploy from GitHub, get SSL automatically, and actually sleep through the night. It's like Heroku but without the wallet-draining addon ecosystem.

Render
/tool/render/overview
35%
pricing
Recommended

Got Hit With a $3k Vercel Bill Last Month: Real Platform Costs

These platforms will fuck your budget when you least expect it

Vercel
/pricing/vercel-vs-netlify-vs-cloudflare-pages/complete-pricing-breakdown
35%
integration
Recommended

Build a Payment System That Actually Works (Most of the Time)

Stripe + React Native + Firebase: A Guide to Not Losing Your Mind

Stripe
/integration/stripe-react-native-firebase/complete-authentication-payment-flow
35%
tool
Recommended

Firebase - Google's Backend Service for When You Don't Want to Deal with Servers

Skip the infrastructure headaches - Firebase handles your database, auth, and hosting so you can actually build features instead of babysitting servers

Firebase
/tool/firebase/overview
35%

Recommendations combine user behavior, content similarity, research intelligence, and SEO optimization