Last updated:
October 23, 2026

Serverless Database Solutions: DynamoDB, Fauna, and PlanetScale Compared

Serverless databases automatically scale capacity, handle infrastructure management, and charge based on actual usage rather than provisioned resources — eliminating the need to manage database servers, replicas, and capacity planning for your application. For Indian startups and product companies building on AWS Lambda, Vercel, or Cloudflare Workers, choosing between DynamoDB (NoSQL, AWS-native), Fauna (document-relational hybrid), and PlanetScale (serverless MySQL) determines your data model, query flexibility, and monthly costs. This comparison helps you choose the right serverless database in 2026.

Last updated October 2026

What Makes a Database “Serverless”?

A true serverless database offers:

  • No server management: No EC2 instances, no RDS configuration, no manual scaling.
  • Auto-scaling: Handles traffic spikes without pre-provisioning.
  • Pay-per-use pricing: Pay for reads, writes, and storage — not idle capacity.
  • High availability: Built-in replication across availability zones or regions.
  • Instant start: No cold start for the database itself (though connection latency varies).

DynamoDB: AWS-Native NoSQL

Overview

Amazon DynamoDB is a fully managed NoSQL key-value and document database. It’s the most battle-tested serverless database, powering Amazon.com itself.

Strengths

  • Single-digit millisecond latency at any scale — from 1 request/second to millions.
  • AWS ecosystem integration: Lambda triggers, EventBridge pipes, AppSync GraphQL, IAM-based access.
  • Global Tables: Multi-region replication with conflict resolution. Available in Mumbai (ap-south-1) region.
  • On-demand pricing: ₹1.05 per million read request units, ₹5.25 per million write request units (Mumbai region, approximate).
  • Free tier: 25GB storage + 25 read/write capacity units perpetually free.

Limitations

  • Rigid query patterns: You must design your data model around access patterns upfront. No ad-hoc SQL queries.
  • Single-table design complexity: Best practices (single-table design) have a steep learning curve.
  • No joins: Denormalise everything. Application-level joins are slow and expensive.
  • Item size limit: 400KB per item.
  • Vendor lock-in: Deeply tied to AWS. No easy migration path.

Best For

High-throughput applications with known access patterns: user sessions, gaming leaderboards, IoT data, e-commerce cart/order storage, real-time analytics. Indian startups already on AWS Lambda.

Fauna: Document-Relational Hybrid

Overview

Fauna is a globally distributed, ACID-compliant serverless database that supports document, relational, and graph queries through its FQL (Fauna Query Language) or GraphQL API.

Strengths

  • Flexible data model: Documents with relations — no need to choose between SQL and NoSQL.
  • ACID transactions: Multi-document, cross-collection transactions — rare for serverless databases.
  • Global distribution: Data replicated across multiple regions automatically.
  • GraphQL native: Upload a GraphQL schema and Fauna generates the backend. Perfect for Jamstack apps.
  • Temporality: Built-in time-travel queries — access historical data without separate audit tables.

Limitations

  • Learning curve: FQL is unique and takes time to master. Not SQL, not MongoDB-style.
  • Pricing complexity: Charged per read/write/compute operations. Costs can escalate unexpectedly with complex queries.
  • Smaller community: Fewer tutorials, Stack Overflow answers, and Indian developer familiarity compared to DynamoDB or MySQL.
  • No Mumbai region: Closest regions are typically US and EU. Latency from India is 100-200ms vs sub-10ms for DynamoDB Mumbai.

Best For

Applications needing relational capabilities without managing PostgreSQL/MySQL servers: SaaS platforms, content management, applications with complex data relationships. Best for globally distributed apps where users are worldwide.

PlanetScale: Serverless MySQL

Overview

PlanetScale is a serverless MySQL-compatible database powered by Vitess (the technology behind YouTube’s database). It gives you MySQL with serverless scaling and Git-like branching for schema changes.

Strengths

  • MySQL compatibility: Use standard MySQL queries, ORMs (Prisma, Sequelize, TypeORM), and tools. No new query language to learn.
  • Schema branching: Create a branch, modify schema, deploy with zero-downtime migration. Like Git for your database.
  • Horizontal scaling: Powered by Vitess — automatic sharding at scale.
  • Generous free tier: Check current PlanetScale pricing page for latest free tier details.
  • Connection handling: Built-in connection pooling — no more managing PgBouncer or MySQL connection limits in serverless environments.

Limitations

  • No foreign keys: PlanetScale (Vitess) doesn’t support foreign key constraints for performance reasons. Enforce referential integrity in application code.
  • Pricing changes: PlanetScale has adjusted pricing models — verify the latest plans before committing.
  • MySQL limitations: If you need PostgreSQL-specific features (JSONB, full-text search, window functions), PlanetScale isn’t the right fit.
  • Region availability: Check for Asia-Pacific regions. Latency matters for Indian users.

Best For

Teams comfortable with MySQL/SQL who want serverless scaling: SaaS applications, e-commerce, content platforms. Indian startups using Next.js + Prisma + PlanetScale is a popular modern stack.

Comparison Table

FeatureDynamoDBFaunaPlanetScale
Data modelKey-value / DocumentDocument-RelationalRelational (MySQL)
Query languagePartiQL / APIFQL / GraphQLSQL (MySQL)
ACID transactionsWithin tableFull cross-collectionFull (MySQL InnoDB)
JoinsNoYesYes (standard SQL)
Mumbai regionYesNo (US/EU closest)Check latest
Free tier25GB + capacityCheck current plansCheck current plans
Vendor lock-inHigh (AWS)MediumLow (MySQL compatible)
Learning curveHigh (data modeling)Medium-High (FQL)Low (SQL)

Frequently Asked Questions

Which serverless database is cheapest for an Indian startup with low traffic?

DynamoDB’s free tier (25GB, perpetual) is the most generous for low-traffic applications. For a startup with under 1,000 daily active users, DynamoDB on-demand mode may cost under ₹500/month. PlanetScale and Fauna — check their current free tier offerings as pricing has evolved. For absolute minimum cost with SQL, consider Turso (SQLite-based serverless) or Neon (serverless PostgreSQL with generous free tiers).

Can I use PlanetScale with WordPress or WooCommerce?

Technically WordPress uses MySQL, but PlanetScale’s lack of foreign key support and specific MySQL version compatibility issues make it impractical for WordPress. WordPress expects a traditional MySQL/MariaDB setup. Use PlanetScale for custom applications built with modern frameworks, not for WordPress hosting.

How does DynamoDB latency compare to traditional RDS in Mumbai?

DynamoDB in the Mumbai region (ap-south-1) delivers single-digit millisecond latency for single-item operations — comparable to or faster than RDS MySQL/PostgreSQL for simple lookups. For complex queries requiring table scans, DynamoDB can be slower because it’s not designed for ad-hoc queries. Choose based on your query patterns, not raw latency benchmarks.

Is Fauna still a good choice in 2026?

Fauna has undergone significant changes — check the latest Fauna offerings and pricing. The core technology is strong, but evaluate the current product roadmap, pricing model, and community activity before committing. For new projects, consider Neon (serverless PostgreSQL) or Supabase as alternatives that offer relational capabilities with larger communities.

What about Supabase and Neon as serverless database alternatives?

Both are excellent serverless PostgreSQL options worth considering. Supabase (open-source Firebase alternative) offers auth, storage, and real-time subscriptions alongside PostgreSQL — great for full-stack Indian startups. Neon offers true serverless PostgreSQL with branching (like PlanetScale for Postgres). Both have free tiers and growing Indian developer communities. If you prefer PostgreSQL over MySQL, these may be better fits than PlanetScale.

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