Published February 27, 2026 · 15 min read

Best Free Database Tools in 2026 (SQL & NoSQL)

Every application needs a database, and in 2026 you do not need to spend money to get a good one. The major cloud database providers offer free tiers that are generous enough to run production applications, handle thousands of users, and store gigabytes of data without paying a dollar.

This guide compares the five best free database platforms: Supabase, PlanetScale, Firebase, MongoDB Atlas, and Neon. We cover both SQL (relational) and NoSQL (document) options, with detailed free tier limits, features, and recommendations for different use cases.

Table of Contents

  1. Free Tier Comparison Table
  2. Supabase (PostgreSQL + Auth + Storage)
  3. PlanetScale (Serverless MySQL)
  4. Firebase (Realtime Database + Firestore)
  5. MongoDB Atlas (Document Database)
  6. Neon (Serverless PostgreSQL)
  7. How to Choose: Decision Guide
  8. FAQ

Free Tier Comparison Table

Here is a side-by-side comparison of what each platform offers at no cost as of February 2026.

FeatureSupabasePlanetScaleFirebaseMongoDB AtlasNeon
Database TypePostgreSQLMySQLNoSQL (Firestore/RTDB)NoSQL (Document)PostgreSQL
Free Storage500 MB5 GB1 GB (Firestore)512 MB512 MB
Free ReadsUnlimited1B row reads/mo50K reads/dayUnlimitedUnlimited
Free WritesUnlimited10M row writes/mo20K writes/dayUnlimitedUnlimited
ComputeShared CPUServerlessServerlessShared M0 (512 MB RAM)0.25 vCPU
BranchingNo (free)Yes (1 branch)NoNoYes (10 branches)
Auth Built-inYes (50K MAUs)NoYes (unlimited)NoNo
File StorageYes (1 GB)NoYes (5 GB)NoNo
RealtimeYesNoYesChange streamsNo
Pausing PolicyPaused after 7 days inactiveSleep after 7 daysNo pausingNo pausingScales to zero

Supabase (PostgreSQL + Auth + Storage)

Supabase is often described as "the open-source Firebase alternative," but it is built on PostgreSQL rather than a NoSQL database. This means you get the full power of SQL, including joins, transactions, foreign keys, and views, combined with real-time subscriptions, built-in authentication, file storage, and auto-generated REST and GraphQL APIs.

Free Tier Details

Best Use Case

Full-stack web applications that need a relational database, user authentication, and file uploads. Supabase replaces your database, auth provider, and file storage with a single platform. A typical SaaS MVP with user accounts, data tables, and file uploads fits entirely within the free tier.

Strengths

Supabase's biggest advantage is the all-in-one package. You get PostgreSQL, authentication (email, social OAuth, magic links), file storage with CDN, edge functions, and real-time data sync. For solo developers and startups, this eliminates the need to stitch together five different services.

Limitations

Free projects are paused after 7 days of inactivity. This is fine for active projects but problematic for side projects you check on monthly. The 500 MB storage limit is adequate for most applications but fills up quickly if you store large JSON documents or blobs in the database (use file storage for those).

PlanetScale (Serverless MySQL)

PlanetScale brings the database technology behind YouTube (Vitess) to developers as a managed serverless MySQL platform. The free tier is notably generous with 5 GB of storage, making it one of the largest free database offerings available.

Free Tier Details

Best Use Case

Applications that need MySQL compatibility, large storage, or database branching for safe schema migrations. PlanetScale's branching workflow lets you test schema changes on a development branch before merging to production, similar to Git branching for code. This is unique among free database offerings.

Strengths

The 5 GB storage limit is the most generous on this list. The branching workflow is a genuine innovation that makes schema migrations safer. Serverless scaling means you do not worry about provisioning compute. PlanetScale also supports connection pooling out of the box, which is essential for serverless application architectures.

Limitations

PlanetScale does not support foreign key constraints at the database level (a limitation of Vitess). You enforce referential integrity at the application level instead. This is a deal-breaker for some developers and a non-issue for others. There is also no built-in authentication or file storage, so you need separate services for those.

Firebase (Realtime Database + Firestore)

Firebase is Google's application development platform. It offers two database options: the original Realtime Database (a JSON tree) and Firestore (a document-collection database). Both have free tiers, and Firebase bundles authentication, file storage, hosting, and cloud functions into its free Spark plan.

Free Tier Details (Spark Plan)

Best Use Case

Real-time applications like chat apps, live dashboards, collaborative tools, and mobile apps. Firebase's real-time data synchronization is unmatched. When data changes in Firestore, every connected client receives the update instantly without polling. Combined with unlimited free authentication and generous hosting, Firebase is the most complete free platform for client-heavy applications.

Strengths

Firebase is the most mature platform on this list with the broadest ecosystem. Google SDKs for Android, iOS, and web are first-class. Real-time sync is built into the SDK, not bolted on. The authentication system supports every major provider and is genuinely unlimited on the free tier. For mobile developers especially, Firebase remains the default choice.

Limitations

Firestore is a NoSQL document database. If your data is highly relational (many-to-many relationships, complex joins, aggregate queries), you will fight the data model. The daily read/write limits (50K reads, 20K writes) can be restrictive for applications with heavy read patterns. Costs can spike unpredictably on the paid plan if you are not careful with query design.

MongoDB Atlas (Document Database)

MongoDB Atlas is the managed cloud version of MongoDB, the most popular NoSQL document database. The free M0 cluster provides 512 MB of storage with no time limit and no credit card required. It is the easiest way to get a production MongoDB instance running in minutes.

Free Tier Details (M0 Cluster)

Best Use Case

Applications with flexible, evolving data schemas. MongoDB stores data as JSON-like documents, so you do not need to define a rigid table schema before writing data. This is ideal for prototyping, content management systems, product catalogs with varying attributes, and any application where the data structure changes frequently.

Strengths

MongoDB's document model is intuitive for JavaScript developers because documents look like JSON objects. The free tier never pauses or expires, unlike Supabase and PlanetScale. Atlas Search provides built-in full-text search without needing a separate Elasticsearch instance. The aggregation pipeline is powerful for complex data transformations.

Limitations

512 MB is the smallest free storage on this list. The shared cluster can have variable performance during peak times. There is no built-in authentication, file storage, or real-time sync (you need change streams for near-real-time, which is different from Firebase's instant sync). For truly relational data, PostgreSQL (Supabase or Neon) is a better fit.

Neon (Serverless PostgreSQL)

Neon is a newer entrant that brings serverless architecture to PostgreSQL. The standout feature is database branching: you can create instant copies of your database for development, testing, or previewing schema changes. Neon also scales to zero, meaning you are not charged for compute when your database is idle.

Free Tier Details

Best Use Case

Developers who want PostgreSQL with modern developer experience features. Neon's branching is perfect for preview deployments (every PR gets its own database branch), CI/CD pipelines that need isolated test databases, and safe schema migrations. If you use Vercel or similar platforms with preview deployments, Neon integrates directly.

Strengths

Scale-to-zero means the free tier never penalizes you for inactivity, unlike Supabase's 7-day pause. Branching is a game-changer for development workflows. Point-in-time restore provides safety against accidental data loss. Full PostgreSQL compatibility means any PostgreSQL tool, ORM, or library works without modification.

Limitations

Neon is database-only. There is no built-in authentication, file storage, or edge functions. You need to pair it with separate services (Clerk for auth, Cloudflare R2 for storage, etc.). The 0.25 vCPU compute is sufficient for development and low-traffic production but will feel limited under heavy concurrent load.

How to Choose: Decision Guide

Use this decision framework to pick the right free database for your project.

If You Need...ChooseReason
All-in-one (DB + Auth + Storage)Supabase or FirebaseBoth bundle multiple services free
Most free storagePlanetScale (5 GB)10x more than most competitors
Real-time data syncFirebaseBest-in-class real-time SDK
Flexible document schemaMongoDB AtlasJSON documents, no rigid schema
Database branchingNeon or PlanetScaleGit-like workflow for schema changes
Full SQL with joinsSupabase or NeonPostgreSQL with full SQL support
Never-pausing free tierMongoDB Atlas or NeonNo inactivity penalties
Mobile app backendFirebaseFirst-class mobile SDKs

Pro Tip: Use Multiple Databases

There is no rule saying you must use one database. Many production applications use Firebase for authentication and real-time features, Supabase or Neon for relational data, and MongoDB for flexible document storage. Each free tier is independent, giving you significant combined capacity at zero cost.

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Frequently Asked Questions

Can I run a production app on a free database tier?

Yes, for small to medium-scale applications. Many startups run their initial production workloads entirely on free tiers. The key limitations are storage (512 MB to 5 GB), compute (shared or minimal), and in some cases daily operation limits (Firebase). If your application has fewer than 10,000 daily active users and your database is under 1 GB, free tiers handle production traffic without issues. Monitor your usage and plan to upgrade when you approach limits.

SQL or NoSQL: which should I choose?

Choose SQL (PostgreSQL via Supabase/Neon, or MySQL via PlanetScale) if your data has clear relationships between entities (users have orders, orders have items, items belong to categories). Choose NoSQL (Firebase Firestore or MongoDB Atlas) if your data is hierarchical, has varying structure, or if you need real-time synchronization. When in doubt, start with PostgreSQL. SQL databases can handle document-style data via JSON columns, but NoSQL databases cannot easily handle relational queries.

What happens when I exceed the free tier limits?

It depends on the platform. Supabase pauses your project after 7 days of inactivity and requires an upgrade if you exceed storage. PlanetScale throttles read/write performance. Firebase starts rejecting operations once daily limits are reached (hard limit). MongoDB Atlas prevents new writes when storage is full. Neon scales to zero but does not cut you off. None of the platforms charge you automatically without consent. You always have the option to upgrade or optimize your usage.

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