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MongoDB Atlas
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Serverless Database features

Compare the features of the Serverless Database to help you choose the right one for your needs.

FeatureMongoDB AtlasPlanetScale

Infrastructure, Underlying technology

Cloud Infrastructure, database system and underlying egine

MongoDB multi-tenant infrastructure, AWS, GCP, Azure

MySQL, Vitess, GCP, AWS

Serverless Support

Serverless and Edge computing support


HTTPS Rest API support to run queries in Edge runtimes

uses HTTP connection, JavaScript Driver

Edge Functions

Support for Edge Functions

Supported by any Edge Environment with fetch API

Cloudflare Workers, Vercel Edge Functions, Netlify Edge Functions

Developer Experience

Database type



Data model

Databases store data in models, such as Relational, Columnar or Document based

Document based, NoSQL

Relational, SQL




Languages, APIs

The languages supporting the database and API interface for inter-process communication

All languages supporting MongoDB driver

Any package/driver supporting MySQL, Prisma, Node.js, Go, Django, C#

Query language

Supported query language such as SQL, MQL, PartiQL,

Mongo-Query-Language (MQL)

SQL, MySQL variation

ACID compliant

ACID is a set of properties of database transactions intended to guarantee data validity despite errors, power failures, and other mishaps
ACID compliant, document level atomicity.
ACID compliant


Support for self-hosted Database instance
Atlas managed service has advantages over self-hosted MongoDB
Only Enterprise Plan members, AWS, GCP


Atlas ensures continuous cloud backup of replica sets and consistent, cluster-wide snapshots of sharded clusters

Daily basis (Included in Free tier), Scheduled backups ($0.023 per GB per month)

Security & Compliance Offerings


Multi-factor authentication

Support of the cloud-histed database for multi-factor authentication


Cryptographic security at rest and on transportation level

Atlas encrypts all cluster storage and snapshot volumes at rest by default

AES Encription, TLS v1.3


Monitoring and analytics

Log retention

Query log retention usually keeps lofs of operations for debugging and replication purposes

Atlas retains the last 30 days of log messages and system event audit messages for each tier in a cluster"

Based on plan, Unlimited for Enterprise


Tools and APIs for analysing and monitoring of Database performance

Web based monitoring tools

Web based dashboard, read/write ratio


Replication and Partitioning

By default run on replicaset, can automatically scale based on load

Database can be deployed on AWS, GCP supported regions (GDPR compliant)