DynamoDBvs
MongoDB Atlasvs
Firebase Realtime
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 |  DynamoDB |  MongoDB Atlas |  Firebase Realtime | |||
|---|---|---|---|---|---|---|
DB Query Time | Load | 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 |  DynamoDB |  MongoDB Atlas |  Firebase Realtime | |
|---|---|---|---|---|
Infrastructure, Underlying technology Cloud Infrastructure, database system and underlying egine | AWS infrastructure | MongoDB multi-tenant infrastructure, AWS, GCP, Azure | Nodejs, Google Cloud, Scala | |
Serverless Support Serverless and Edge computing support | ||||
API | @aws-sdk/client-dynamodb, native support for Vercel Edge, Cloudflare Workers | HTTPS Rest API support to run queries in Edge runtimes | REST API | |
Edge Functions Serverless functions that run closer to the user, reducing latency and improving performance. | Runs over HTTPS protocol, compatible with Edge runtimes.Native multi-regional edge support. You can define regions for each table | Supported by any Edge Environment with fetch API | Cloud functions | |
Developer Experience | ||||
Database type | OLTP | OLTP | OLTP, OLAP | |
Data model Databases store data in models, such as Relational, Columnar or Document based | key-value, NoSQL | 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. | AWS CLI tools | atlas | Firebase CLI | |
Languages, APIs The languages supporting the database and API interface for inter-process communication | Supported by majority of languages including Node.js, Python, Java, Go, C#, C++ | All languages supporting MongoDB driver | JavaScript, Swift, Kotlin, Java, C++, Objective-C | |
Query language Supported query language such as SQL, MQL, PartiQL, | PartiQL (JSON like syntax) | Mongo-Query-Language (MQL) | JSON | |
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 | ACID compliant, document level atomicity. | ||
Self-hosting Support for self-hosted Database instance | Doesn't have support, Only for local development | Atlas managed service has advantages over self-hosted MongoDB | Doesn't have support | |
Backups | Point-in-time recovery (PITR) provides continuous backups of your DynamoDB table data. When enabled, DynamoDB maintains incremental backups of your table for the last 35 days until you explicitly turn it off. | 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 | All your data in DynamoDB is encrypted in transit, HTTPS, TLS | Atlas encrypts all cluster storage and snapshot volumes at rest by default | HTTPS, TLS | |
SSO | SAML-based SSO solution | |||
Monitoring and analytics | ||||
Log retention Query log retention usually keeps lofs of operations for debugging and replication purposes | AWS CloudTrail for operation logs | Atlas retains the last 30 days of log messages and system event audit messages for each tier in a cluster" | Document level history 30 days retention | |
Statistics Tools and APIs for analysing and monitoring of Database performance | Amazon CloudWatch to monitor performance metrics | Web based monitoring tools | Web based monitoring tools | |
Scalability | ||||
Replication and Partitioning | "Global tables", Multi-region replication | By default run on replicaset, can automatically scale based on load | Region groups | |