8 Best Databases for Web Apps

Every web app needs a dependable place to keep information such as accounts, orders, or saved settings. This guide is for freelancers, students, and small product teams comparing databases without assuming there is one perfect choice.

The options here include traditional SQL databases and newer managed services. Think about how your data relates, who will operate the service, and how you can recover from mistakes before moving real customer information.

Quick picks

• Best overall: PostgreSQL — a capable relational foundation for many kinds of apps.
• Best for beginners: Supabase — managed PostgreSQL with useful app-development tools.
• Best for flexible documents: MongoDB Atlas — store records in a document-oriented model.
• Best for serverless growth: Neon — hosted PostgreSQL designed for modern cloud workflows.

How we picked

We looked for widely used databases with clear documentation and practical routes for web developers. Compare the shape of your data and the work you are willing to take on:

• Data relationships: do records need reliable joins and transactions?
• Operations: who handles backups, updates, and access?
• Development: are local testing and familiar tools available?
• Scaling: understand how usage and costs can change.
• Portability: consider exports and the effort of changing providers.

Relational foundations

1. PostgreSQL

PostgreSQL is a mature open-source relational database, using SQL to represent structured records and their relationships. It handles transactions and offers features such as JSON fields, so it can support more than a simple table-backed website. The engine is free and open source, but running it reliably means planning backups, monitoring, and upgrades.

Best for: teams that want a robust general-purpose database and can arrange hosting.

2. MySQL

MySQL is a long-established relational database supported by a large web-hosting ecosystem and many application frameworks. Its familiar SQL workflow suits common sites and services, while feature behaviour and administration differ from PostgreSQL, so check compatibility before copying queries between them. The community edition is open source; commercial and managed offerings are also available.

Best for: developers maintaining conventional websites or applications already built around MySQL.

3. Supabase

Supabase provides managed PostgreSQL together with tools such as authentication, file storage, and generated APIs. That bundle can help a small team build a useful prototype without stitching together every service; it still takes care to design permissions and database policies correctly. A free plan with paid upgrades is available, and the underlying database is PostgreSQL.

Best for: solo builders who want a hosted SQL database alongside common app services.

4. Neon

Neon is a managed PostgreSQL service designed around cloud-native development, with features such as database branching for isolated development work. Its workflow can help teams test schema changes without touching production data, though provider-specific workflows deserve consideration when planning portability. It has a free plan with paid upgrades; review current compute and storage limits.

Best for: developers who want PostgreSQL with convenient branch-based development workflows.

Document and cloud-managed options

5. MongoDB Atlas

MongoDB Atlas hosts MongoDB, a document database that stores records in flexible BSON documents rather than relational tables. This can fit data whose fields vary naturally, such as product catalogues, but flexibility does not remove the need for thoughtful data modelling. Atlas has a free plan with paid upgrades, and teams should understand how queries and scaling affect ongoing use.

Best for: apps whose records naturally vary and are commonly read as whole documents.

6. Firebase Cloud Firestore

Cloud Firestore is Google's managed document database, with client libraries and real-time data updates that work well in many app patterns. Its integration with Firebase services can shorten setup for a small project, but its document and query model differs from SQL and may complicate relational reporting. It has a free plan with paid upgrades, with usage-based billing to monitor.

Best for: app developers who need managed documents and live updates with Firebase integration.

7. Cloudflare D1

Cloudflare D1 is a managed, serverless SQL database built to work with Cloudflare Workers. Developers can use familiar SQL in a deployment environment close to their edge functions, but it is a platform-specific choice and may not suit workloads that expect a conventional database server. D1 has a free plan with paid upgrades through Cloudflare's platform; check its current limits.

Best for: small applications already running their backend on Cloudflare Workers.

8. SQLite

SQLite is a small, serverless SQL database stored in a file rather than a separate database service. It is excellent for local development, embedded applications, and modest deployments where simplicity matters, but concurrent write-heavy web workloads often call for a client-server database instead. SQLite is public-domain software and free to use; the application host still needs a safe backup plan.

Best for: prototypes, desktop-style services, and apps with modest write demands.

How to choose the right one

Sketch a few real records before selecting technology. If customers, orders, and payments must stay consistent, a relational database such as PostgreSQL is a sensible starting point. If each item has genuinely different fields, a document database may feel natural; do not pick one only because its schema sounds flexible. Think through common reads as well as writes: a model that makes the home screen or account history difficult to query can add work to every feature.

Then choose the operating model. A managed service reduces server chores but introduces provider plans and platform-specific features; self-hosting means your team owns updates, monitoring, and recovery. Test backups by restoring one, and keep credentials out of browser code. Separate development and production data so experiments cannot damage real accounts. For a public-facing app, decide how the service handles access controls, logging, and data residency before launch. A free plan is useful for learning, not a reliable forecast of production cost; measure a representative workload and revisit the provider’s current terms. Also consider how your app will handle a deleted record or a failed migration: a recovery process should be understood before an incident, not invented during one. When an API returns sample JSON, our JSON to TypeScript tool can help you map its shape into application types. Explore related choices in the development tools directory and see the database and backend category.

Key takeaways

• PostgreSQL is a sound default when your app has structured, related records.
• Managed databases save setup time but still require careful permissions and backups.
• Document databases work best when their data shape and query patterns fit the app.
• SQLite is useful in the right deployment, not a universal replacement for server databases.
• Try a small realistic workload and a restore test before trusting important data.