Prompt

Best databases for modern serverless applications

Technology / Databases1 observationLast seen Aug 26, 2026

Latest observation

Aug 26, 2026OpenAI APIWeb search: off

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

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

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

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

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

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

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

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

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.

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