DynamoDB is a great NoSQL storage solution
We use Amazon DynamoDB as a scalable solution for NoSQL related storage of data. It can take some getting used to how to work the primary …
Starting at $0 capacity unit per hour
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What is Amazon DynamoDB?
Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
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Popular Features
- Availability (70)9.494%
- Scalability (69)9.494%
- Performance (69)9.292%
- Security (70)9.090%
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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…
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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
Amazon DynamoDB Videos
AWS re:Invent 2019: Data modeling with Amazon DynamoDB (CMY304)
What is Amazon DynamoDB?
Amazon DynamoDB Competitors
Amazon DynamoDB Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
| Supported Countries | Global, North America, South America, Europe, Africa, Asia, Australia |
| Supported Languages | English, German, Spanish, Italian, Japanese, Portuguese, Chinese, Korean, French, Mandarin Chinese |
Frequently Asked Questions
Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
Reviewers rate Deployment model flexibility highest, with a score of 10.
The most common users of Amazon DynamoDB are from Enterprises (1,001+ employees).
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Reviews
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September 18, 2023
AWS DynamoDB use cases.
- Amazon Redshift and Amazon Relational Database Service (RDS)
DynamoDB is slightly different than both the above-stated DBs, with RDS being a relational database and Redshift being a data warehouse used for heavier jobs and analytics and vast data. DynamoDB lies in between both, with it being a no SQL base that can relatively store inconsistent data similar to Redshift, but Redshift is far better in analytics.
September 18, 2023
Perfect for serverless transactional workloads
September 18, 2023
Dynamic scaling done easy by dynamoDB
Mongo services are outside of our Vpc and are on a different network. Since most of our infra is on AWS, dynamo by AWS was a natural choice. Most of our engineers are familiar with AWS sdk and the console so that brought in a much smaller learning curve for our engineering team
September 18, 2023
We love the flexibility and performance of DynamoDB!!!
These other products don't offer the flexible database features that DynamoDB has.
September 18, 2023
Great for a quick out of the box solution
September 13, 2023
Dynamite DynamoDb
It seamlessly integrates with Lambda, simplifying the deployment and management of serverless architecture. Both Lambda and DynamoDB are designed are highly scalable. Lambda functions can be triggered by various AWS services and events, such as changes in DynamoDB tables which makes it easy to write event-driven code.
September 08, 2023
AWS DynamoDB Review
Because of it's access control features, quick scalability and high performance.
August 28, 2023
AWS DynamoDB excellency
MongoDB vs. Amazon DynamoDB:• MongoDB requires more human management than DynamoDB, which is a fully managed service.• DynamoDB's scalability is automatic, whereas MongoDB's horizontal scaling may require more work.• When compared to DynamoDB, MongoDB offers more extensive data modeling options and richer querying capabilities.Cassandra vs. Amazon DynamoDBBoth are built for high scalability and availability, however Cassandra takes more operational work whereas DynamoDB offers a more smooth managed service.• Strong consistency in DynamoDB may be simpler to implement than Cassandra's configurable consistency levels.Azure Cosmos DB vs. Amazon DynamoDB:Both provide automatic scaling and global distribution.• While Cosmos DB offers a variety of price levels and choices, DynamoDB has a more straightforward pricing structure.• In contrast to DynamoDB, which concentrates on key-value and document data, Cosmos DB supports numerous data models.
August 11, 2023
Amazon DynamoDB Internals
July 27, 2023
Rocking database
Cassandra is expensive to manage
- MongoDB Atlas and Amazon Relational Database Service (RDS)
More flexible and easier to get started with than RDS, but, in my opinion, much worse monitoring/cost and query/modeling complexity than MongoDB
July 12, 2023
Review by SDET Employee
Performance, Scalability, durability , fully managed
June 18, 2023
Just another review…
Dynamo DB is definitely more efficient and able to be configured easier than both. I just would say you have to know what you are doing with SQL as well. Because if you don’t know anything about SQL, you could always use Dynamo DB to help store your big data.
April 04, 2023
DynamoDB-Revolutionizing Data Management Tool
March 24, 2023
DynamoDB is fast and efficient
DynamoDB was easier to get set up and running with my apps, but more complicated to use due to the partition and sorting requirements, lack of simple explanations for where and when to use them, and the complicated wording of the SDKs. But I will always use it while I'm building on AWS.
March 22, 2023
Amazon DynamoDB is a great option for cloud storage
DynamoDB is a great supplemental data store compared to SQL Server. We use SQL Server extensively for our primary application, however, it is sometimes overkill for small projects that just need a datastore. DynamoDB fits that bill better and is a great option for projects that do not have complex relationship needs and just need a way to story data long term.
December 16, 2021
Easy to use and scalable solution
Teams at our company briefly looking into other cloud services and we even have a feature using Azure, but Amazon DynamoDB ultimately was selected as it was easier for our company to just work with one suite of web services.
April 06, 2020
Why DynamoDB is right for you?
We started using DynamoDB because of the AWS ecosystem; it integrates well with everything. The IAM for role management as well. But using MongoDB with other AWS products was not seamless; we had to create custom APIs to make it work. But if the need for your organization is for a relational database, then DynomoDB would not be best suited.
January 29, 2020
Amazon DynamoDB is a solid, well performing NoSQL database.
January 26, 2020
Full managed NoSQL option that is easy to setup and deploy.
MongoDB is mostly document store while Amazon DynamoDB supports both key/value and document store making it more versatile. Azure Cosmos DB is multi-modal like Amazon DynamoDB and it makes more sense when you have data already in Azure Cloud. If you are mostly using AWS then DynamoDB is a better choice. Redis Labs and Oracle NoSQL is only key/value store.
January 10, 2020
Great NoSQL service from AWS
We use all of them in different scenarios. The reason we use DynamoDb is that we have already implemented AWS Services in our production environment. Deploying DynamoDB service is relatively easier than others. Therefore, we choose to use DynamoDB. it also brings great benefits to our developers team. We do not have to use a complicated API anymore.
Compared to running your own on-prem SQL infrastructure Amazon Dynamo is easier to set up, faster and more reliable as well as being cheaper in the long run.
October 29, 2019
DynamoDB is great
We have been preferring DynamoDB over Redis for persistent data. It has a better encryption model and is operationally simpler.
For materialized views we've been using Elasticsearch, but are starting to consider using DynamoDB there too.
Oddly, we're considering moving some of our DynamoDB data back over to Aurora. It works pretty well and supports autoscaling.
September 02, 2019
Stable, Scalable, Reliable and Secure NoSQL database as a service offered by Amazon
Amazon DynamoDB is a blind pick if you are already using AWS services suite and your data is also present on the Amazon cloud. If you are not sure of the type of data that you are going to get or you know that is won't always be structured data, then it is also the right choice.
August 16, 2019
Easy, Scalable, Reliable and Maintainable
The main reason for sticking to DynamoDB is that its part of the AWS suite and since its a managed solution, so we do not have to worry about scalability and reliability. There are some advantages and disadvantages for using DynamoDB and the decision ultimately depends on your requirements and the type of data that has to be stored and queried.