Amazon DynamoDB

Score8 out of 10

206 Reviews and Ratings

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What is Amazon DynamoDB?

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

Categories & Use Cases

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Screenshot of Amazon DynamoDB in the AWS Console

Deployment model flexibility
Can be deployed on-premise or in the cloud.
Category average: 8.9
Availability
Availability is the probability that the NoSQL database will be available to preform its function when called upon.
Category average: 8.9
Scalability
NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.
Category average: 9.4

Security
Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.
Category average: 8.9
Concurrency
Concurrency is the ability for multiple processes to access or change shared data simultaneously. The greater the number of concurrent user processes that can execute without blocking each other, the greater the concurrency of the database system.
Category average: 9
Data model flexibility
NoSQL databases do not rely on rely on tables, columns, rows, or schemas to organize and retrieve data, but use use more flexible data models to accommodate the large volume and variety of data being generated by modern applications.
Category average: 9

#1 most frequent

Professional, Scientific, and Technical Services

29.3%

5,118 installations of 17,482

#2 most frequent

Information

20.4%

3,569 installations of 17,482

#3 most frequent

Finance and Insurance

10.5%

1,836 installations of 17,482

Qasim Yousufzai

DevOps Engineer in Engineering at NOVA Cloud (1-10 employees employees)

Use Cases and Deployment Scope

Dynamo DB is my go-to option when requirements are for NoSQL DB that can scale very fast and have the options of global tables that can be used to support bigger infrastructures with key-value storage. The best thing is that it is a managed service so there is not a lot of overhead management required to keep it up to date.

Pros

Scaling
Global tables feature
High performance
Integration with other AWS services

Cons

Cost can be lower.
Complexity of working with global tables.
Schema design challenges

Return on Investment

Definitely, less management time
Less issues with DB performance
The costs are a little on the upper side compared to alternatives, but its a managed service so it adds up.

Alternatives Considered

Amazon Aurora, AWS Security Hub and AWS Systems Manager

Other Software Used

Amazon CloudFront, AWS Control Tower, AWS IAM Identity Center

Shireen Shahab

Web Developer in Information Technology at EDII (51-200 employees employees)

Use Cases and Deployment Scope

We use DynamoDB as it is made to run high-performance applications at any size. As it offers offers practically infinite storage and is adaptable, we use it on daily basis. It can manage millions of inquiries per second and supports high-traffic. It is super cost effective. We also use it for variety of applications. It is highly recommended by us.

Pros

To manage varying workloads, it enables users to increase capacity as necessary and decrease it as needed.
Users can take advantage of its auto-scaling, in-memory caching, and backup without paying for the services of a database administrator.
We can use it for low scale operations.

Cons

I would say a better user interface
Better data management
Scan operations should be more efficient

Return on Investment

Businesses may only pay for the services they actually use thanks to DynamoDB's usage-based pricing approach.
AWS handles hardware provisioning, data recovery, fault tolerance, patching, and database upgrades for DynamoDB since it is a fully managed database service.
DynamoDB differs from conventional relational databases in terms of its data model, which might be difficult for developers accustomed to dealing with SQL-based systems.

Alternatives Considered

Apache Cassandra

Other Software Used

Apache Cassandra

Izcóatl Estañol View profile

Interactive Experiences Architect in Information Technology at CTMI (1-10 employees employees)

Use Cases and Deployment Scope

Since this is a NoSQL DB that is able to sustain dingle-digit millisecond response times, it is very useful to implement architectures with delightful responsive UX to all our customers. Specific use cases are around: eCommerce carts where orders' documents are being assembled in DynamoDB before going to next steps of the purchasing process; multi-user interactive interfaces can benefit from the fast response to update dashboards, and interactions; and some public signage usages for arrival/departure boards can also be used for the display part of the process.

Pros

Fast response
Availability
Security on rest
Ease of use

Cons

Cost model may not be easy to control and may lead to higher costs if not carefully planned
Indexing may be a cost culprit when not planned, because it's not included on the data costs
The Query Language may not fulfill everybody's expectations, as it has less features than those of competitors.

Return on Investment

The use of DynamoDb has helped to make our products and solutions faster and more responsive to the users. This, in turn, increments the number of transactions that can be put in eCommerce solutions.
Having DynamoDB as part of the architecture for interoperability solutions along with SQS gives us the possibility to create B2B solutions with high resiliency.
Creating detailed plans on the usage of this cloud component has helped us to control and minimize costs in the developed solutions.

Alternatives Considered

MongoDB

Other Software Used

Amazon Simple Queue Service (SQS), AWS Lambda

RISHAB MADAAN View profile

Software Engineer at Celayix (1-10 employees employees)

Use Cases and Deployment Scope

We used DynamoDB both alone and in combination with AWS lambda functions. We used DynamoDB tables to store client data and combined them with DynamoDB streams to trigger lambda functions every time the table changed. This allowed us to run functions synchronously. Another use case was to run lambda functions at a specified UTC time zone, which was again stored in DynamoDB tables.

Pros

Storing of Data.
Running lambda functions to synchronously run jobs.
Run asynchronous jobs.
Store inconsistent data.

Cons

It is hard to combine them with lambda functions if the job to be run will take longer than 30 seconds.
It has some inconsistent behavior when fargate containers are involved.

Return on Investment

DynamoDB has been very effective for cost savings.
Easy to combine with other AWS services, which is both easy to develop and maintain.
Scalability is not an issue.
Well-illustrated metrics.

Alternatives Considered

Amazon Redshift and Amazon Relational Database Service (RDS)

Other Software Used

AWS Lambda, AngularJS, Oracle Java Platform, Micro Edition

Adithya Kolluru

Aws cloud engineer in Information Technology at Mindtee (10,001+ employees employees)

Use Cases and Deployment Scope

For handling large-scale, low-latency applications needing smooth scaling, DynamoDB is frequently used. It offers a NoSQL database solution with automatic scalability, high availability, and low-latency performance to handle concerns like data storage, access, and scaling challenges that enterprises confront. Its application cases cover a wide range of industries, including e-commerce, gaming, and more, and range from real-time analytics and IoT data storage to user profile management and content catalogs. The extent of its utilization is determined by the particular requirements of the company and might range from straightforward data storage to intricate, high-traffic applications.

Pros

Low latency
Scalability
Security and access control
Cost efficiency

Cons

Limited joins
Aggregations
Data migration complexion
Backup and restore convenience

Return on Investment

Scalability and performance
Usage based pricing (pay as you go)
Reduced downtime
High availability
Faster development cycles

Alternatives Considered

MongoDB, Apache Cassandra and Azure Cosmos DB

Other Software Used

Azure Cosmos DB, MongoDB, Apache Cassandra, Redis™*

Amazon DynamoDB

What is Amazon DynamoDB?

Categories & Use Cases

Media

Amazon DynamoDB Key Features

Top Performing Features

Deployment model flexibility

Availability

Scalability

Areas for Improvement

Security

Concurrency

Data model flexibility

Most Frequent Users

Professional, Scientific, and Technical Services

Information

Finance and Insurance

Amazon DynamoDB Reviews

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Alternatives Considered

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Use Cases and Deployment Scope

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Alternatives Considered

Other Software Used

Use Cases and Deployment Scope

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Other Software Used

Use Cases and Deployment Scope

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Alternatives Considered

Other Software Used

Use Cases and Deployment Scope

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Cons

Return on Investment

Alternatives Considered

Other Software Used

Amazon DynamoDB Alternatives