Skip to main content
TrustRadius
Amazon DynamoDB

Amazon DynamoDB

Overview

What is Amazon DynamoDB?

Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.

Read more
Recent Reviews

A perfect cloud DB

9 out of 10
September 28, 2023
Incentivized
Our integration and Data-analytics platform uses AWS services and Amazon DynamoDB is one of the key service. All our data storage are …
Continue reading
Read all reviews

Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 7 features
  • Availability (70)
    9.4
    94%
  • Scalability (69)
    9.4
    94%
  • Performance (69)
    9.2
    92%
  • Security (70)
    9.0
    90%

Reviewer Pros & Cons

View all pros & cons
Return to navigation

Pricing

View all pricing

Provisioned - Read Operation

$0.00013

Cloud
capacity unit per hour

Provisioned - Write Operation

$0.00065

Cloud
capacity unit per hour

Provisioned - Global Tables

$0.000975

Cloud
per Read Capacity

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://aws.amazon.com/dynamodb/pricing…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
Return to navigation

Features

NoSQL Databases

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

9.2
Avg 8.8
Return to navigation

Product Details

What is Amazon DynamoDB?

Amazon DynamoDB is a NoSQL, fully managed, serverless database boasting limitless scalability and single-digit millisecond latency performance enabling customers to develop modern, microservice-based applications through a simple API. DynamoDB’s fully-managed service includes broad compliance standards, security integration with AWS Identity and Access Management and numerous disaster recovery services. With DynamoDB Global Tables, customers are offered a 99.999% highly available, multi-Region, multi-active database supporting local reads and writes for globally distributed users. DynamoDB provides cost management features such as scale-to-zero, Time to Live (TTL) for aging data out, and multiple pricing models including a free tier.

Amazon DynamoDB Features

NoSQL Databases Features

  • Supported: Performance
  • Supported: Availability
  • Supported: Concurrency
  • Supported: Security
  • Supported: Scalability
  • Supported: Data model flexibility

Additional Features

  • Supported: Amazon DynamoDB is serverless allowing customers to scale instantly as workloads increase while providing an on-demand billing mode where they only pay for the resources consumed.
  • Supported: Amazon DynamoDB provides up to a 99.999% SLA with zero downtime or maintenance windows.

Amazon DynamoDB Screenshots

Screenshot of Amazon DynamoDB in the AWS Console

Amazon DynamoDB Videos

AWS re:Invent 2019: Data modeling with Amazon DynamoDB (CMY304)
What is Amazon DynamoDB?

Amazon DynamoDB Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
Supported CountriesGlobal, North America, South America, Europe, Africa, Asia, Australia
Supported LanguagesEnglish, German, Spanish, Italian, Japanese, Portuguese, Chinese, Korean, French, Mandarin Chinese

Frequently Asked Questions

Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.

MongoDB Atlas, Redis™*, and Azure Cosmos DB are common alternatives for Amazon DynamoDB.

Reviewers rate Deployment model flexibility highest, with a score of 10.

The most common users of Amazon DynamoDB are from Enterprises (1,001+ employees).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(203)

Attribute Ratings

Reviews

(1-1 of 1)
Companies can't remove reviews or game the system. Here's why
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use this for implementation of websites and web applications to manage the daily updates and all
  • Mostly we use this for Auto scaling
  • In memory caching
  • Restore options for all their internet scale applications
  • Key value NoSQL database
  • Limited index options
  • Lack of transactions
  • Cost optimization
  • Data consistency models
Amazon DynamoDB is designed to handle massive workloads and can scale horizontally to accommodate millions of requests per second.DynamoDB can efficiently handle write-heavy workloads, making it suitable for applications that require processing and storing real-time streaming data, such as Internet of Things (IoT) devices, clickstream analysis, or financial market data.
NoSQL Databases (6)
91.66666666666666%
9.2
Performance
80%
8.0
Availability
100%
10.0
Concurrency
90%
9.0
Security
80%
8.0
Scalability
100%
10.0
Data model flexibility
100%
10.0
  • Usage based pricing
  • Durability and availability
  • Scalability and performance
The scalability is great and I would suggest this to any of the companies between start up with 10 people to a big organisation with 1000 employees
I would say the performance is great and it provides a very fast outputs compared to any other tool. Overall, it’s a greatest tool maintained by the Amazon and its worth using
Performance, Scalability, durability , fully managed
Apache Kafka, PostgreSQL, Redis™*
12
Developing
information technology
Finance
data saving
8
Database Administrators
developers
support engineers
system administrators
  • Content generation
  • Research and data analysis
  • Content editing
  • Real time analytics
  • Internet of things
  • User session management
  • Real time analytics
  • Personalisation and recommendation systems
  • Internet of things
It’s best to use the same tool for the extension of the project as well
No
  • Cloud Solutions
  • Scalability
  • Integration with Other Systems
Scalability refers to the ability to handle increasing amounts of data and growing workloads efficiently and effectively
Most likely I would be the same
Well, I personally not but one of my team mate does
No
No
A situation where we felt our organisation data got hacked and asked them for support
It’s most commonly used in many times
Return to navigation