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CockroachDB vs MongoDB Atlas

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

Quick Verdict

4.2/5

CockroachDB

0 reviews

4.1/5

MongoDB Atlas

0 reviews

CockroachDB is rated higher (4.2 vs 4.1). CockroachDB is a distributed SQL database built to survive datacenter failures. Postgres-compatible, strong consistency, and automatic scaling across regions. Managed plans: Basic (usage-based, free tier), Standard and Advanced (provisioned), plus BYOC and the new Cockroach Continuum editions. 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.

CockroachDB

CockroachDB

Distributed SQL database that survives failures

MongoDB Atlas

MongoDB Atlas

The cloud database for modern apps

Overview
Rating4.2 (0 reviews)✓4.1 (0 reviews)
Pricing modelfreemiumfreemium
Starting priceFree tier availableFree tier available
Best forApplications where the database must survive region loss without losing transactions — payments, ledgers, identity, multi-region SaaS, global gaming backends — and teams ready for distributed-SQL trade-offsApplication-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.
Specifications (entry plan)
CPU cores2 vCPU—
RAM——
Storage——
Bandwidth——
SLA uptime99.99%99.995%✓
Data-center count—125
€/vCPU/mo€0.00—
Features
IPv6
DDoS protection
Automated backups✓
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing
Free tier
Data-center locations
Regions
AWS, GCP and Azure regions across North America, Europe and Asia-Pacific (multi-region clusters)
["AWS", "Google Cloud", "Microsoft Azure"]
Tags
Tags
free tiermanaged optionbackups includedeu datacenterus datacenterapac datacenterapi access
free tiermanaged optionbackups includedeu datacenterus datacenterapac datacenterapi access
Visit CockroachDB →Visit MongoDB Atlas →

CockroachDB

Pros

  • + True multi-region survivability with serializable transactions and Postgres wire compatibility
  • + Generous free tier: Basic at $0/month with 50M RUs and 10 GiB free monthly, $400 trial credits, no card required
  • + Contractual SLAs: 99.99% availability, up to 99.999% multi-region on Advanced; P1 response targets published
  • + Transparent per-component cost documentation and a public pricing calculator
  • + Enterprise compliance path (CMEK, PCI DSS, HIPAA) and AWS/GCP/Azure coverage

Cons

  • - Production costs climb fast: storage billed at 4.5x durability multiplier, plus backups, CDC and egress
  • - September 2026 plan restructure (Cockroach Continuum) splits new and existing customers onto different rate cards
  • - Distributed-SQL learning curve: RU model, planner differences from vanilla Postgres, cross-region latency
  • - Overkill for single-region applications — managed Postgres is far cheaper for the same job
  • - Proprietary managed plane; open-core self-hosting shifts the operational burden back to you
View full CockroachDBreview →

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 →

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