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MongoDB Atlas
| Feature | MongoDB Atlas | |
|---|---|---|
Infrastructure, Underlying technology Cloud Infrastructure, database system and underlying egine | MongoDB multi-tenant infrastructure, AWS, GCP, Azure | |
Serverless Support Serverless and Edge computing support | ||
API | HTTPS Rest API support to run queries in Edge runtimes | |
Edge Functions Serverless functions that run closer to the user, reducing latency and improving performance. | Supported by any Edge Environment with fetch API | |
Developer Experience | ||
Database type | OLTP | |
Data model Databases store data in models, such as Relational, Columnar or Document based | Document based, NoSQL | |
CLI Command Line Interface tools that allow developers to perform tasks and manage the tool via the command line. | atlas | |
Languages, APIs The languages supporting the database and API interface for inter-process communication | All languages supporting MongoDB driver | |
Query language Supported query language such as SQL, MQL, PartiQL, | Mongo-Query-Language (MQL) | |
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. | |
Self-hosting Support for self-hosted Database instance | Atlas managed service has advantages over self-hosted MongoDB | |
Backups | Atlas ensures continuous cloud backup of replica sets and consistent, cluster-wide snapshots of sharded clusters | |
Security & Compliance Offerings | ||
SOC2 Service Organization Control 2 compliance for managing customer data. | ||
Multi-factor authentication Support of the cloud-histed database for multi-factor authentication | ||
Encryption Cryptographic security at rest and on transportation level | Atlas encrypts all cluster storage and snapshot volumes at rest by default | |
SSO | ||
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" | |
Statistics Tools and APIs for analysing and monitoring of Database performance | Web based monitoring tools | |
Scalability | ||
Replication and Partitioning | By default run on replicaset, can automatically scale based on load | |