Convex vs MongoDB Atlas
A detailed comparison to help you choose between Convex and MongoDB Atlas.
Quick Verdict
4.0/5
Convex
0 reviews
4.1/5
MongoDB Atlas
0 reviews
MongoDB Atlas is rated higher (4.1 vs 4.0). Convex is a backend-as-a-service that provides a reactive database with real-time subscriptions, serverless functions, file storage, and authentication. TypeScript-first developer experience. 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.
Convex TypeScript-first backend platform with real-time sync and serverless functions | MongoDB Atlas The cloud database for modern apps | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (0 reviews) | 4.1 (0 reviews)✓ |
| Pricing model | freemium | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | TypeScript teams building real-time, collaborative or AI-agent applications who want to replace an assembled backend stack with one reactive platform and value developer velocity over infrastructure control. | Application-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 cores | — | — |
| RAM | — | — |
| Storage | 1 GB | — |
| Bandwidth | — | — |
| SLA uptime | — | 99.995% |
| Data-center count | 3 | 125✓ |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ✓ | |
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ||
| Data-center locations | ||
| Regions | US East (N. Virginia), EU West, Canada Central | ["AWS", "Google Cloud", "Microsoft Azure"] |
| Tags | ||
| Tags | free tierapi access | free tiermanaged optionbackups includedeu datacenterus datacenterapac datacenterapi access |
| Visit Convex → | Visit MongoDB Atlas → | |
Convex
Pros
- + Replaces a whole backend stack — database, functions, sync, search, storage and auth — with end-to-end TypeScript type safety and ACID transactions
- + Generous economics for reactive apps: query/mutation compute free on serverless, plus a real free plan and pay-as-you-go Starter tier
- + All unit rates and per-tier limits published, including an honest 1.3x regional multiplier for EU and Canada
- + Core backend open-sourced (March 2024) with self-hosting option — genuine lock-in relief uncommon in this category
- + Well-funded ($110.5M through a $57M Series B in 2026), SOC 2 Type II, HIPAA compliant, with named production customers at real scale
Cons
- - Document model is not SQL — poor fit for Postgres estates, analyst workflows and BI tooling
- - Usage-based metering can surprise chatty clients; no hard spend caps on paid tiers
- - Support SLAs are a paid feature: 30-minute P1 response only in $1,000–$2,000/month premier tiers
- - TypeScript-first to the point of exclusion — a non-starter for non-TS teams
- - Self-hosting the open-source backend is an operational project most teams will only use as an escape hatch
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
Stay in the loop
Get weekly updates on the best new hosting and infrastructure providers, deals, and comparisons.
No spam. Unsubscribe anytime.