MongoDB vs PlanetScale: Which Database is Right for You?

Compare MongoDB and PlanetScale for your database needs. MongoDB offers a flexible document database with a generous free tier, while PlanetScale provides a serverless MySQL platform with branching workflows.

Updated 2026-09 · 2026

MongoDB

Document database with flexible schema and powerful querying

Freeup to 512MB

Strengths

+Generous free tier (512MB storage, shared cluster)
+Flexible document model with no rigid schema
+Rich query language with aggregation framework

Weaknesses

-Can be overkill for simple relational data
-Steeper learning curve than traditional SQL
-Free tier has connection limits (500 concurrent)

Best for

Teams building applications with evolving data models, unstructured data, or needing flexible schema design

PlanetScale

Serverless MySQL platform with Git-like branching workflows

$39/monthScaler plan, 10GB storage

Strengths

+Database branching for safe schema changes
+Serverless scaling with no connection limits
+Built on Vitess (powers YouTube, Slack)

Weaknesses

-No free tier — discontinued in April 2024, plans now start at $39/month
-MySQL-focused (Postgres support added in 2025, still in beta)
-No foreign key constraints in production

Best for

Teams using MySQL who want modern deployment workflows, serverless scaling, and safe schema change management, and can budget for a paid plan from day one

Feature Comparison

Feature	MongoDB	PlanetScale
Free Tier Storage	512MB	None (no free plan since April 2024)
Database Type	Document (NoSQL)	Relational (MySQL, Postgres in beta)
Schema Flexibility	Schemaless documents	Fixed schema with migrations
Branching/Versioning	Not available	Git-like database branches
Query Language	MongoDB Query Language (MQL)	Standard SQL
Connection Limits	500 concurrent (free tier)	Unlimited (serverless)
Horizontal Scaling	Native sharding support	Automatic via Vitess
Schema Migrations	Manual or via tools	Non-blocking, automated
Foreign Keys	Not applicable (document model)	Not supported in production
Backup & Recovery	Continuous backups (paid tiers)	Daily backups included
Multi-Region	Available on paid tiers	Available on paid tiers
Starting Price (Paid)	$57/month (M10 cluster)	$39/month (Scaler plan)

The Verdict

Choose MongoDB if you need flexible schema design, document-based data models, or are building applications where data structure evolves frequently, and want a genuine free tier to start. Choose PlanetScale if you're committed to MySQL, want modern deployment workflows with database branching, or need serverless scaling without connection limits — but budget for it, since PlanetScale removed its free tier in April 2024 and now starts at $39/month. MongoDB remains the better choice for teams that want to prototype at zero cost.

How to switch from MongoDB to PlanetScale

1Export your MongoDB data using mongodump for a full BSON archive, or mongoexport per collection to output JSON or CSV files you can inspect and reshape.
2Design a relational schema for PlanetScale by flattening nested documents and subdocuments into separate tables, then write a script (Node.js or Python) to transform your exported BSON/JSON/CSV into rows matching that schema.
3Create a new PlanetScale database and development branch, then import your transformed data using the pscale CLI or standard MySQL LOAD DATA / mysqlimport commands.
4Update your application's data layer — replace Mongoose or other MongoDB drivers with a MySQL-compatible ORM like Prisma or Drizzle, and update connection strings to PlanetScale's TLS-secured connection string.
5Rebuild any automations that relied on MongoDB Change Streams using a CDC tool (e.g., Airbyte) against PlanetScale, or Vitess VStream if you need native change data capture.
6Run both databases in parallel for a short period (dual writes or shadow reads), validate data integrity, then cut over the team's production traffic and decommission the MongoDB cluster.

MongoDB vs PlanetScale: common questions

How do I export my data from MongoDB before migrating to PlanetScale?+

Use mongodump to create a binary BSON archive of your entire database, or mongoexport to pull individual collections into JSON or CSV files. mongodump is preferred for full migrations since it preserves data types more accurately; mongoexport's CSV/JSON output is easier to reshape into relational tables by hand or with a script.

What do I lose by switching from MongoDB to PlanetScale?+

You lose the flexible document model — nested arrays and subdocuments have to be normalized into separate tables with foreign key relationships, even though PlanetScale doesn't enforce foreign keys in production. You also lose MongoDB's aggregation framework and native support for unstructured or rapidly changing schemas.

Is PlanetScale's paid plan enough for a small team, since there's no free tier anymore?+

The $39/month Scaler plan includes 10GB storage and usage-based row reads/writes, which is enough for most small teams' production workloads. If you just need something to prototype on for free, MongoDB's Atlas free tier (512MB) or a self-hosted MySQL instance is a better starting point until you're ready to commit to PlanetScale's paid plan.

Does PlanetScale work with the same tools and integrations I used with MongoDB?+

Not directly — you'll need to swap MongoDB-specific drivers and ORMs like Mongoose for MySQL-compatible ones such as Prisma, Drizzle, or Sequelize. Most BI tools (Metabase, Looker, Tableau) and CDC tools (Airbyte, Fivetran) support PlanetScale via standard MySQL connections, so reporting integrations are usually easier to migrate than application code.

How does the cost compare over time, MongoDB Atlas vs PlanetScale?+

MongoDB Atlas lets you stay on the free M0 tier indefinitely for small workloads, then jumps to $57/month for a dedicated M10 cluster once you need more resources. PlanetScale has no free option, starting at a flat $39/month plus usage overages, so for very small or hobby projects MongoDB is cheaper, but at production scale the two are comparable depending on read/write volume.