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Firebase Realtimevs
MongoDB Atlas
Performance Comparison
Database query times and total request latency measured from 15 global locations.
Tests run every hour through Cloudflare Workers. Lower numbers indicate better performance.
Location |  Firebase Realtime |  MongoDB Atlas | ||
|---|---|---|---|---|
DB Query Time | Load | DB Query Time | Load | |
 us-west-1 | N/A | |||
| us-east-1 | N/A | |||
 ca-central-1 | N/A | |||
 sa-east-1 | N/A | |||
 eu-central-1 | N/A | |||
 eu-west-2 | N/A | |||
 eu-west-3 | N/A | |||
 eu-north-1 | N/A | |||
 eu-south-1 | N/A | |||
 af-south-1 | N/A | |||
 ap-southeast-1 | N/A | |||
 ap-northeast-1 | N/A | |||
 ap-east-1 | N/A | |||
 ap-southeast-2 | N/A | |||
 ap-northeast-2 | N/A | |||
FAQ
Serverless Database features
Compare the features of the Serverless Database to help you choose the right one for your needs.
Feature |  Firebase Realtime |  MongoDB Atlas | |
|---|---|---|---|
Infrastructure, Underlying technology Cloud Infrastructure, database system and underlying egine | Nodejs, Google Cloud, Scala | MongoDB multi-tenant infrastructure, AWS, GCP, Azure | |
Serverless Support Serverless and Edge computing support | |||
API | REST 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. | Cloud functions | Supported by any Edge Environment with fetch API | |
Developer Experience | |||
Database type | OLTP, OLAP | OLTP | |
Data model Databases store data in models, such as Relational, Columnar or Document based | Document based, NoSQL | Document based, NoSQL | |
CLI Command Line Interface tools that allow developers to perform tasks and manage the tool via the command line. | Firebase CLI | atlas | |
Languages, APIs The languages supporting the database and API interface for inter-process communication | JavaScript, Swift, Kotlin, Java, C++, Objective-C | All languages supporting MongoDB driver | |
Query language Supported query language such as SQL, MQL, PartiQL, | JSON | 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 | Doesn't have support | 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. | Apart from App indexing | ||
Multi-factor authentication Support of the cloud-histed database for multi-factor authentication | |||
Encryption Cryptographic security at rest and on transportation level | HTTPS, TLS | Atlas encrypts all cluster storage and snapshot volumes at rest by default | |
SSO | SAML-based SSO solution | ||
Monitoring and analytics | |||
Log retention Query log retention usually keeps lofs of operations for debugging and replication purposes | Document level history 30 days retention | 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 | Web based monitoring tools | |
Scalability | |||
Replication and Partitioning | Region groups | By default run on replicaset, can automatically scale based on load | |