Best databases for modern serverless applications

For modern serverless applications, the “best” database usually depends on whether you need relational data, global scale, simple key-value access, analytics, or flexible document storage. Here are the top choices by category:

Best overall choices

1. Amazon DynamoDB

Best for: high-scale serverless apps, low-latency access, simple data models
Why it’s great:

• Fully managed and serverless
• Auto-scales extremely well
• Very low operational overhead
• Tight integration with AWS Lambda, API Gateway, EventBridge, etc.

Watch out for:

• Data modeling is less intuitive than SQL
• Complex joins and ad hoc queries are limited

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2. Firebase Firestore

Best for: mobile/web apps, real-time sync, rapid development
Why it’s great:

• Serverless and easy to start with
• Real-time listeners built in
• Good SDKs for web/mobile
• Great for collaborative or user-facing apps

Watch out for:

• Query patterns need planning
• Costs can grow with heavy read/write usage
• Not ideal for complex relational querying

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3. MongoDB Atlas Serverless / Atlas

Best for: document-centric apps with flexible schema
Why it’s great:

• JSON-like document model
• Good developer experience
• Flexible schema for fast iteration
• Works well for many startup/serverless use cases

Watch out for:

• Not as “serverless-native” as DynamoDB/Firestore in some setups
• Costs and scaling behavior depend on workload

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4. Neon (Serverless Postgres)

Best for: apps that want SQL + serverless scaling
Why it’s great:

• PostgreSQL compatibility
• Serverless scaling and branching
• Great for transactional systems
• Easy adoption if your team knows SQL/Postgres

Watch out for:

• Cold starts / connection handling still matter
• Not as frictionless as pure NoSQL for extreme scale patterns

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5. PlanetScale

Best for: serverless apps needing MySQL compatibility and scale
Why it’s great:

• Based on MySQL
• Great developer workflow
• Branching and safe schema changes
• Works well with serverless architectures

Watch out for:

• Some relational features differ from traditional MySQL
• Best fit is application-focused OLTP, not heavy analytics

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Also worth considering

6. Supabase Postgres

Best for: full-stack apps needing Postgres + auth + storage + APIs
Why it’s great:

• Postgres foundation
• Easy backend platform for serverless apps
• Great ecosystem and developer experience

Watch out for:

• More of a backend platform than just a database
• Not purely “database-only” serverless

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7. CockroachDB Serverless

Best for: globally distributed SQL applications
Why it’s great:

• Distributed SQL
• Strong consistency
• Good for globally available apps

Watch out for:

• Operational and cost model may be more complex
• Overkill for simpler apps

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8. Fauna

Best for: globally distributed serverless apps with a managed query layer
Why it’s great:

• Serverless-first design
• Minimal ops
• Strong for app-driven workflows

Watch out for:

• Smaller ecosystem than Postgres/MySQL options
• Less common skillset in teams

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Quick recommendations by use case

• High-scale AWS app: DynamoDB
• Mobile app with real-time features: Firestore
• Flexible JSON document app: MongoDB Atlas
• Need SQL and serverless: Neon
• Need MySQL compatibility: PlanetScale
• Want backend + auth + storage too: Supabase
• Global distributed SQL: CockroachDB Serverless

My practical advice

If you’re building a modern serverless app today:

• Choose DynamoDB if you want maximum serverless-native scaling and are okay with NoSQL patterns.
• Choose Neon or PlanetScale if your team prefers SQL and you want a serverless-friendly relational database.
• Choose Firestore if real-time client sync is a core feature.
• Choose MongoDB Atlas if your schema is evolving quickly and you want document flexibility.

If you want, I can also give you:

1. a ranked list by performance/cost,
2. a “best database for your stack” guide (AWS / Vercel / Firebase / etc.), or
3. a comparison table of these options.