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 …
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What is Amazon DynamoDB?
Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
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- Availability (70)9.494%
- Scalability (69)9.494%
- Performance (69)9.292%
- Security (70)9.090%
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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
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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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October 06, 2023
Best NoSQL Database Tool
We were building Amazon Alexa Game in which we used the DynamoDB for storing the user's data and leaderboard. Integration of Amazon DynamoDB was very smooth, there are pre-built examples are available and due to it is NoSQL, we can store any type of data without generation of the schema.
- It is NoSQL so storing data with very smooth
- Integration of it is very smooth
- It is Serverless so execution of it is very fast
- Integration of it apart from Amazon ecosystem is a bit hard
- Due to it is NoSQL, you can perform join and other operations
- Limited Storage option
October 03, 2023
Amazing self-managing DB.
From storing huge amounts of data generated by our applications to caching our data in order to increase the performance of our applications, Amazon DynamoDB helps in a vast area of our daily operations. Since it is a fully managed database service, it saves a lot of hard work on our part.
- Self-management makes it really easy to operate with.
- High-performance even at the time of traffic spikes.
- Reliable as it has low latency tendencies.
- Pricing using an on-demand plan can be tuned a little better for low cost.
- Managing an on-demand plan can be a little punishing.
- Limited size and data types are not the best to work with.
October 02, 2023
Amazon DynamoDB fast, flexible NoSQL database service
We use Amazon DynamoDB as one of the data base components of our complex environment. It was mainly use in conjunction with AWS Lambda serverless computing service. We use it as search engine index for complex data sets. What's more we create flagging functionality not double execution of some Lambda functions.
- Key-value and document data models
- Serverless
- Secondary indexes
- For our use evrything was great
- We did not see things for improvement
October 02, 2023
Best in business!
It is a boon for availability and scalability issues. Works like magic and is very secure. It handles high-traffic i.e. thousands of queries per second with ease for our application. On-demand scalability is an excellent feature, which keeps up the performance, even at a sudden huge traffic spike in data.
- The latency for read and write operations is almost negligible.
- Management becomes easy due to features like data recovery and fault tolerance.
- On-demand scalability is an excellent feature.
- If not monitored properly, one can get unexpected costs as per the on-demand model.
- One can populate a table up to a limited size. Larger size would require a partition,
- Learning Amazon DynamoDB and understanding it properly can take quite a while
September 29, 2023
For a fast, reliable, and dynamic database schema needs, DynamoDB is your solution!
We needed a cloud based serverless database backend resource for an in house product we were developing. Security requirements along with performance and high availability were critical for this project so this solution fit our need. It solved the problem of not having to maintain and patch an operating system hosting the database resource and being replicated through AWS for backups/redundancy.
- regional replication
- backups
- high availability
- must be hosted in the cloud, no on-premise option.
September 28, 2023
Best NoSQL database tool!
Amazon DynamoDB is a best in industry product for NoSQL, it providing rapid solution for our database requirement with fast performance and scalability. We handling more big data in AWS DynamoDB without any latency on performance, the main advantage is no need to care about the maintenance and its offers serverless database with more flexibility.
- It is NoSQL
- It offers good performance
- Offers well secure services
- More Documentations needed
- Aggregations
- Expensive
September 25, 2023
DynamoDB from a service providers perspective
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.
- Scaling
- Global tables feature
- High performance
- Integration with other AWS services
- Cost can be lower.
- Complexity of working with global tables.
- Schema design challenges
September 22, 2023
Robust & High-performing DB.
Our team makes custom applications on top of out-of-box application & hence make use of Amazon DynamodDB as the DB. We usually need the data to be highly available & Dynamo DB does the job perfectly well by automatically replicating the stored data across multiple regions. The best part about this NoSQL DB is that it is AWS managed fully & which enables our team to fully focus on the development rather than things like auto-scaling maintenance & data encryption.
- AWS Fully managed
- Serverless & its scalability
- Data at rest Encryption using AWS KMS
- Point in time recovery feature
- Comparatively a bit on a higher price side.
- Doesn't support complex join & query between tables.
- Limit of 400Kb data size per item.
September 21, 2023
Best Database in Market!
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.
- 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.
- I would say a better user interface
- Better data management
- Scan operations should be more efficient
September 20, 2023
Feature packed with amazing service!
We at [...] use Amazon DynamoDB to handle massive user bases and support high concurrency for internet-scale applications. It helps us to manage thousands of user requests per second. It supports us in amazing caching solutions ensuring high concurrency and thousands of connections while maintaining high performance. It provides a secure access to information stored in data.
- It handles huge amount of data generated by IoT devices very well.
- Makes it easy to use data for real-time analytics.
- Automatically increasing scaling capacity is a bonus for handling traffic spikes
- Making decisions on whether to choose on-demand pricing or not.
- Overriding administrative tasks manually.
- There is always room for discounts if scalability is high.
September 20, 2023
Making better data decisions with Amazon DynamoDB
It is a powerful NoSQL database service with several advantages, including scalability, high availability, and strong performance. As a 3rd Party Logistics company, we use it for various applications such as mobile apps with varying workloads, session management, handling of user profiles, shipment journey information, user behavior tracking, and in future we have plans to use it for IoT (Internet of Things) applications as well.
- Scalability, as it can handle huge workloads with ease
- Very low latency, millisecond latency for reads and writes
- Robust security features
- Feature of Global Tables
- Backup and Restore features
- Limited Query flexibility in comparison to SQL
- Expensive for huge workloads
- Complexity increases as workloads increased, making it difficult to optimize.
- Data size limitations
September 20, 2023
DynamoDB is fast, secure and easy to use.
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.
- Fast response
- Availability
- Security on rest
- Ease of use
- 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.
September 19, 2023
Amazon DynamoDB is the dynamic DB you have been looking for
It acts as a fast data store where we can quickly lookup data for a particular key. This helps in making sure that the records we are looking up are available really fast to the code. Once the data is available we are able to generate the right output for our clients.
- Speed
- Key lookup
- Distributed
- Cost
- Functionality
- Portability
September 18, 2023
AWS DynamoDB use cases.
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.
- Storing of Data.
- Running lambda functions to synchronously run jobs.
- Run asynchronous jobs.
- Store inconsistent data.
- 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.
September 18, 2023
Perfect for serverless transactional workloads
We have evaluated use cases for serverless applications ranging from simple key-value storage to complex "single table" designs for transactional data. The business requirement was to provide a straightforward, and well-performing data persistence layer for these applications, without the need of provisioning capacity. One particular use case models a language class booking system that is capable of handling bookings, cancellations of classes, and their respective seat bookings, models the teachers, teacher managers and the learners, and their actions too.
- Low latency read and write throughput
- Streaming data to consumers
- Transactions
- Secondary index management
- Migration tooling
- Point in time recovery performance
September 18, 2023
Great for a quick out of the box solution
We used it to aggregate vehicle data sent from sensors into more meaningful chunks that could then be used to feed our user interfaces and web dashboards and tables
- Key value data was easy to collect, store, search and extend
- DynamoDB is very easy to pickup for anyone
- Query parameters can sometimes be a little hard to understand
- Aggregations are not the friendliest
September 13, 2023
Dynamite DynamoDb
Mostly storing and accessing data that is not relational. Business problems addressed were related to building various software pipelines that use divergent data. The speed of access was important. The scope was using the pipelines at the organization level in a production environment. Use case was also related to auto-scaling the database as data increases.
- Storing non relational key value data.
- Fast data access.
- Auto Scaling
- Cost of indexing
- Better local dynamo db environment setup
- Cross region replication
We use it to store key-value account metadata that powers our analytics application. It is accessed via Python REST API and ultimately served in a web application.
- Really easy to get started with and using the data
- Strong fully managed service, making things like security, scalability and data replication trivial
- Extremely low latency
- Limited querying options, writing queries is tedious requires index, no table joins
- Difficult to estimate and predict costs if load is not constant or unpredictable
- 400KB item capacity limit
July 12, 2023
Review by SDET Employee
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
April 04, 2023
DynamoDB-Revolutionizing Data Management Tool
DynamoDB is a highly scalable NoSQL database that can handle large volumes of data with ease, making it an obvious solution for our business as we have a vast amount of data to handle. Our business requires real-time updates and need to store data that changes frequently, with DynamoDB it is much easy.
- Handles large amount of data with the most efficient way
- Can handle dynamic and rapidly changing data with ease
- DynamoDB has a global presence
- Providing more advanced security features, such as fine-grained access control, would make the tool more secure and better suited for enterprise-level applications.
March 24, 2023
DynamoDB is fast and efficient
I use DynamoDB for quick, cheap data storage. In one case I use it to record real time active users on a website to send push notifications to. In another case I use it to store user statistics for an app.
- DynamoDB is very cheap if you use the on-demand setup.
- DynamoDB is very quick for querying data.
- DynamoDB has a lot of examples on AWS Documentation to do anything you need to do.
- I think there could be better explanations of how it works because it takes some time to understand partition and sorting keys.
- I'd also like to read explanations of why the key limitations of it exist and why other NOSQL databases seem to have easy solutions.
- I think the options to customize DynamoDB should be explained better
March 22, 2023
Amazon DynamoDB is a great option for cloud storage
We currently use DynamoDB as a repository for data in our serverless environment built using AWS's Lambda functions. This is mainly a static datastore and a way to retain the information needed by that environment. DynamoDB works very well for this use case and has allowed us to create an entire application without servers using just the services within AWS. We also use DynamoDB to help manage some workflow processes we have built using Amazon's Simple Queue Service. As we process these workflows, we use DynamoDB to retain information between processes. This has been very effective and has allowed us to build complex solutions within AWS.
- Store sets of data with different fields
- Eliminates the need to manage the server or any infrastructure
- Retrieves indexed data quickly
- The interface is not intuitive and can be difficult to use. Especially for inexperienced users
- There is no customization of the presentation of data, which can make it difficult to analyze records
DynamoDB is really used across quite a few different departments at our company. It's an extremely simple NoSQL database that can be spun up instantly. We use it for every single one of the applications my team has developed. We store session information in there temporarily either for users or for currently running background processes. We also store some long term information in DynamoDB that would normally belong in a relational database, but it was much easier for us to use DynamoDB to store it.
- Easy to start
- Easy to query
- Easy to delete
- Zero maintenance
- Cost is a bit of an issue
- Query API is a little confusing
- Indexes are a challenge
December 16, 2021
Easy to use and scalable solution
DynamoDB has made it quick and easy for us to prototype and build out our new features. We've spun up a few microservices hosting the data in DynamoDB and the NoSQL database has made our architecture very flexible and future-proof. It's been an easy way for us to denormalize parts of our data and start stripping out parts of our monolith and implementing it in microservices.
- Great documentation.
- Quick and easy to use.
- Scales well with our use cases.
- Querying functionality is limited which limits our use cases.
- Limited resources to train developers from adjusting SQL to NoSQL.
- Can be costly for projects where we have to spin up many environments.
April 06, 2020
Why DynamoDB is right for you?
Ours is a marketing technology division. We have a lot of real-time data as well as non-real-time data that is derived from batch systems. We use Dynamo DB to address both these needs. Dynamo DB has provided us great scalability and reliability. The best reason why we like DynomoDB is that we don't have to manage anything and it all being done for us in a cost-effective manner.
- Great performance even with large scale applications.
- We don't need to manage any backend servers, everything is a one-click solution in their dashboard.
- Support great reliability and scalability while supporting ACID transactions.
- The costs can be huge if the resource is not monitored properly. We had to crank it down during off-peak hours and again increase the throughput during high usage intervals.
- While the time of usage, DynomoDB did not support different region backup. The backups were only within the same region.
- Best suited for key-value type of operations only. Won't work particularly great for relational operations.