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MongoDB Atlas vs PlanetScale

A detailed comparison to help you choose between MongoDB Atlas and PlanetScale.

Quick Verdict

4.1/5

MongoDB Atlas

0 reviews

4.2/5

PlanetScale

0 reviews

PlanetScale is rated higher (4.2 vs 4.1). MongoDB Atlas is the managed cloud version of MongoDB. Available on AWS, GCP, and Azure. Full-text search, vector search, time-series collections, and usage-priced Flex tiers. Free M0 cluster forever. Managed Postgres and MySQL (Vitess) databases with branching and zero-downtime schema changes. No free tier; Postgres starts at $5/month, Vitess at $39/month.

MongoDB Atlas

MongoDB Atlas

The cloud database for modern apps

PlanetScale

PlanetScale

Serverless MySQL with database branching

Overview
Rating4.1 (0 reviews)4.2 (0 reviews)✓
Pricing modelfreemiumpaid
Starting priceFree tier available✓From $5/mo
Best forApplication-first teams that want production MongoDB with multi-AZ resilience and no DBA, plus developers who want a free tier that can grow into paid tiers.Teams running MySQL (or Postgres) at scale who want Vitess-grade sharding and safe, reviewable schema migrations without operating the infrastructure themselves
Specifications (entry plan)
CPU cores—0 vCPU
RAM—1 GB
Storage—10 GB
Bandwidth—0 TB/mo
SLA uptime99.995%✓99.99%
Data-center count125✓19
€/GB RAM/mo—€5.00
Features
IPv6
DDoS protection
Automated backups✓
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing✓
Free tier
Data-center locations
Regions
["AWS", "Google Cloud", "Microsoft Azure"]
12 AWS + 7 GCP regions incl. US, EU, APAC (Tokyo, Mumbai, Singapore, Sydney, Seoul) and South America (Sao Paulo)
Tags
Tags
free tiermanaged optionbackups includedeu datacenterus datacenterapac datacenterapi access
free tiermanaged optionbackups includedeu datacenterus datacenterapi access
Visit MongoDB Atlas →Visit PlanetScale →

MongoDB Atlas

Pros

  • + Genuinely useful free M0 tier (512MB forever) with the same drivers and code path as production
  • + Multi-cloud: 125+ regions across AWS, Google Cloud, and Azure, with cross-region and cross-provider node placement
  • + Automated operations: three-node cross-AZ replica sets, failover, patching, point-in-time recovery, storage auto-scaling
  • + 99.995% uptime SLA on Dedicated tiers with clearly documented exclusions and service-credit ladder
  • + Integrated full-text and vector search, time-series collections, and Terraform/API automation

Cons

  • - Per-node billing: a production replica set triples the advertised node price; sharded clusters multiply again
  • - Backups on Dedicated, egress, search add-ons, and support are billed separately — invoice drift is common
  • - No SLA and no continuous backups on Free or Flex; M0 cannot be resized into a paid cluster
  • - Proprietary add-ons (Atlas Search, Vector Search, Data Federation) create soft lock-in
View full MongoDB Atlasreview →

PlanetScale

Pros

  • + Built by the Vitess maintainers — branching, deploy requests and online schema migrations are first-class
  • + Three engines (Postgres, Vitess, sharded Neki) plus Metal local-NVMe tiers for I/O-heavy workloads
  • + Unusually transparent pricing: published SKU tables and a SQL-queryable per-region pricing endpoint
  • + Three-zone HA with automatic failover and a 99.99% SLA on HA configurations
  • + 19 AWS/GCP regions plus a bring-your-own-cloud Managed option for data-residency needs

Cons

  • - No free tier or trial — the Hobby plan was retired in April 2024
  • - Metered extras (storage, egress, backups, branch hours) make the real bill higher than sticker prices
  • - Vitess constraints: no foreign keys in the classic model and a real sharding learning curve
  • - Single-node $5 entry is not highly available; production HA starts at $15/month before usage
View full PlanetScalereview →

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