How to Use AWS DynamoDB NoSQL Database: Complete Beginner Guide
By Braincuber Team
Published on April 2, 2026
DynamoDB is a fully managed NoSQL database from AWS. DynamoDB is similar to other NoSQL databases like MongoDB, except for the fact that you do not have to do any maintenance or scaling on your part. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. This complete tutorial provides a beginner guide with a step by step guide to understanding NoSQL databases, DynamoDB core features, and how it compares to popular alternatives like MySQL and MongoDB.
What You'll Learn:
- What DynamoDB is and how it handles 10+ trillion requests per day
- What NoSQL databases are and how they differ from relational databases
- Core DynamoDB features: autoscaling, data models, replication, backups, security, monitoring
- How DynamoDB compares to MySQL (relational) and MongoDB (NoSQL)
- When to choose DynamoDB for your application architecture
Fully Managed
No maintenance or scaling required. AWS handles software patching, replication, and infrastructure management automatically.
Massive Scale
Handle 10+ trillion requests per day with peaks of 20+ million requests per second with single-digit millisecond latency.
Flexible Schema
Key-value and document data models allow each row to have any number of columns, perfect for evolving business requirements.
Secure by Default
Encryption at rest and in transit, IAM access control, and point-in-time recovery protect your data automatically.
What Is DynamoDB?
DynamoDB is a fully managed NoSQL database from AWS. DynamoDB is similar to other NoSQL databases like MongoDB, except for the fact that you do not have to do any maintenance or scaling on your part.
DynamoDB offers built-in security, on-demand, and point-in-time backups, cross-region replication, in-memory caching, and many other features that support business-critical workloads.
Most importantly, DynamoDB works seamlessly with other AWS applications like S3 and Lambda.
What Are NoSQL Databases?
NoSQL stands for "not only SQL". Simply put, NoSQL databases store documents in a format similar to JSON, while relational databases store data in the form of a table.
NoSQL offers more flexibility in terms of data modeling and does not force you to have a schema to store documents.
| NoSQL Type | Example | Best For |
|---|---|---|
| Key-Value Store | DynamoDB, Redis | Simple lookups, caching, session storage |
| Document Database | MongoDB, CouchDB | Content management, catalogs, user profiles |
| Wide-Column Database | Cassandra, HBase | Time-series data, IoT, analytics |
| Graph Database | Neo4j, Amazon Neptune | Social networks, recommendation engines |
Core Features of DynamoDB
Autoscaling
Probably the most important feature of DynamoDB is that it delivers automatic scaling of throughput and storage based on the performance or usage of your application.
In a typical database server, the sysadmin takes care of scaling when the application encounters higher than usual traffic.
With DynamoDB, you can create database tables that can store and retrieve any amount of data, and the scaling is automatically managed by AWS. This includes scaling up for higher traffic and scaling down for lower traffic, so you only pay for what you use.
Data Models
DynamoDB supports both key-value and document data models. This enables you to have a flexible schema, so each row can have any number of columns at any point in time. This is crucial for growing businesses that have ever-changing requirements.
Re-defining database schema is a nightmare that many developers and database admins go through in a growing application. This data model flexibility offers a robust database solution for small as well as large businesses.
Replication
AWS takes care of DynamoDB table replication automatically based on your choice of AWS regions (cross-region replication). Even distributed applications can have single-digit millisecond read and write performance using DynamoDB.
With replication in place, you do not have to worry about data availability. In the event of the primary source failure, you can easily access the data from a secondary reserve, reducing the probability of application downtime.
Backups and Recovery
DynamoDB provides on-demand backups for your tables that you can enable within the AWS console. You can also enable automatic backup and archiving of your data to other AWS solutions like S3.
DynamoDB also offers Point-in-time recovery. This protects your data from accidental write or delete operations. With Point-in-time recovery, you can restore your database to any point in time for the last 35 days. Point-in-time recovery is achieved by storing incremental backups of your database and that is managed automatically by AWS.
Point-in-Time Recovery
You can restore your DynamoDB table to any specific second within the last 35 days. This is invaluable for recovering from accidental deletions or corrupted data without losing recent valid writes.
Security
DynamoDB encrypts data at rest by default and also in transit using the keys stored in AWS Key Management Service (or customer-provided keys).
With encryption in place, you can build security-sensitive applications that meet compliance and regulatory requirements. DynamoDB also provides access control via AWS IAM roles.
Monitoring
Monitoring is crucial to any business-critical application. It helps maintain reliability and also notifies personnel in case of an event or failure.
AWS offers detailed monitoring tools like CloudWatch Logs, CloudWatch Events, and CloudTrail Logs that will help you to watch, notify, and debug all types of events in DynamoDB. You can also set custom triggers based on metrics like system errors, capacity usage, and so on.
DynamoDB vs MySQL
There is a major difference between MySQL and DynamoDB because MySQL is a relational database. In terms of benefits, I think MySQL is limited because of the requirement of having a schema before you can start pushing data.
But MySQL is great for many use cases as well. It is often called "The world's most popular open-source database" and it delivers a fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server.
But being a NoSQL database gives DynamoDB much more flexibility in terms of data modeling.
Even though AWS provides managed services for MySQL and other relational databases, DynamoDB is a database designed by AWS and not just a hosted database solution. So this offers more improvements and features that MySQL and other relational databases cannot.
| Feature | DynamoDB | MySQL |
|---|---|---|
| Database Type | NoSQL (Key-Value, Document) | Relational (SQL) |
| Schema | Flexible, schema-less | Fixed schema required |
| Scaling | Automatic, built-in | Manual or via RDS |
| Latency | Single-digit milliseconds | Variable, depends on setup |
| Managed by | AWS (native) | Community / AWS RDS |
DynamoDB vs MongoDB
DynamoDB and MongoDB are closely related to each other since both are NoSQL databases. But since DynamoDB is built and maintained by AWS it offers many more features and integrations, especially with other Amazon services like S3, compared to MongoDB.
If I were running a growing company I would prefer using DynamoDB solely because of its scalability and cross-region replication features. AWS does not offer a managed MongoDB service but if you are looking for one, MongoDB Atlas would be a great alternative.
Another important feature of DynamoDB over MongoDB is that MongoDB is not secure by default and you have to configure security yourself. DynamoDB is secure by default, so it might be a better option if security is a deal-breaker for you.
| Feature | DynamoDB | MongoDB |
|---|---|---|
| Database Type | NoSQL (Key-Value, Document) | NoSQL (Document) |
| Managed Service | Fully managed by AWS | Self-hosted or Atlas |
| Security | Secure by default (encryption at rest) | Requires manual configuration |
| AWS Integration | Native (Lambda, S3, etc.) | Limited |
| Cross-Region Replication | Built-in, automatic | Requires manual setup |
When to Choose DynamoDB
AWS DynamoDB is a fully managed NoSQL database that can scale in and scale out based on demand. AWS takes care of typical functions including software patching, replication, and maintenance.
DynamoDB also offers encryption at rest, point-in-time snapshots, and powerful monitoring capabilities. In a nutshell, it is a great option when you are building an application that needs a high-performance scalable NoSQL database.
High-Traffic Applications
When your application needs to handle millions of requests per second with single-digit millisecond latency, DynamoDB is the ideal choice.
Serverless Architectures
DynamoDB works seamlessly with AWS Lambda, API Gateway, and other serverless services, making it perfect for serverless application backends.
Evolving Data Requirements
When your data model is expected to change frequently, DynamoDB's flexible schema eliminates the need for costly schema migrations.
Global Applications
With built-in cross-region replication and global tables, DynamoDB provides low-latency access to users worldwide.
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Frequently Asked Questions
What is the difference between NoSQL and relational databases?
NoSQL databases store data in flexible formats like JSON documents or key-value pairs without requiring a fixed schema. Relational databases store data in structured tables with predefined schemas and use SQL for queries.
How much does DynamoDB cost?
DynamoDB offers on-demand pricing (pay per request) and provisioned capacity pricing. The free tier includes 25GB of storage and 25 write/read capacity units. You only pay for what you use with automatic scaling.
Should I use DynamoDB or MongoDB for my project?
Choose DynamoDB if you need automatic scaling, AWS integration, and security by default. Choose MongoDB if you need complex queries, rich document modeling, or are not tied to AWS. MongoDB Atlas is a great managed alternative.
What is point-in-time recovery in DynamoDB?
Point-in-time recovery lets you restore your DynamoDB table to any specific second within the last 35 days. It works by storing incremental backups automatically, protecting against accidental writes or deletions.
How does DynamoDB handle data replication?
DynamoDB automatically replicates your data across multiple Availability Zones within a region. With Global Tables, you can also replicate across AWS regions for low-latency global access and disaster recovery.