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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- No setup fee
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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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(203)Attribute Ratings
Reviews
(26-50 of 80)Companies can't remove reviews or game the system. Here's why
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
Great investment overall.
We use DynamoDB as an open-source tool for a number of our client's Cloud development and migration. We find that using serverless is a great way of creating automation that allows clients to access relevant data and protect data overall. It helps manage a number of requests and supports our 'fail fast' method of testing.
- Allows us to build huge applications.
- It is fantastic for testing and finding bugs within minutes.
- Fantastic at handling data requests nation-wide.
- It's not easy to get to grips with early developers.
- It can be tricky to predict costs sometimes.
- If there is a lot of data, it can take a while to load.
September 19, 2023
No SQL, Scalable Database
I use Amazon DynamoDB in my organization, EDII, to manage data across the Finance APIs.
- AI/ML
- User Data
- Logs
- SDK can be improved
- UI can be improved
September 19, 2023
DynamoDB Review
DynamoDB is our primary choice for cloud databases when relational structures are not required. The Key Value pair model is easy to interact with and strictly typed. We have many use cases that rely on DynamoDB. It holds audit records, global metadata, tracks systems statuses, and also acts as an action trigger when combined with Streams. Currently, Streams is what makes it so powerful in our current configuration. Having Streams throw off a time-ordered sequence of events for use with other services within AWS is extremely versatile.
- Extremely fast
- Lightweight Key-Value pairs
- Serverless
- Streams
- On-Demand vs Provisioned capacity costs
- No relational support
- Limited query options
September 19, 2023
Easy Serverless and Scalable
We use Amazon DynamoDBin two places.
1) Storing Information about the logs and the config data
2) Terraform state file
1) Storing Information about the logs and the config data
2) Terraform state file
- Fast Retrieval
- Serverless
- Excellent API
- UI can be improved
- Easy usable SDK
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
Dynamic scaling done easy by dynamoDB
We use AWS dynamo Db to store key value pairs for our business logic layer. We store details like last log in date, some config values and other non relational data.
- Integrates easily with other AWS infrastructure
- Easy to use interface on AWS console
- Scales easily with load
- Integrations with orms
- Migrations to other no sql databases
September 18, 2023
We love the flexibility and performance of DynamoDB!!!
We use it to dynamically store and retrieve data for our mobile app.
- Simple to use
- Safe and secure
- Performant
- More support from Amazon
- Better documentation
- Lower costs
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
September 08, 2023
AWS DynamoDB Review
We used DynamoDB as our backend database. It was very effective and quick to use and we were able to get good results while using it.
- Provides Scalability
- Provides Access Control
- The item size limit of 400KB is something which we faced issue with once since we had a file of around 1-2MB that wasn't getting uploaded to the DB due to this issue
August 28, 2023
AWS DynamoDB excellency
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.
- Low latency
- Scalability
- Security and access control
- Cost efficiency
- Limited joins
- Aggregations
- Data migration complexion
- Backup and restore convenience
August 11, 2023
Amazon DynamoDB Internals
At my company, we use Amazon DynamoDB to power the backend for our mobile app. With DynamoDB's fast performance and scalability, we can reliably handle the bursts of read and write activity from millions of users. We chose DynamoDB because we needed a fully managed NoSQL database that could scale on demand to meet spikes in traffic. DynamoDB allows us to focus on rapidly improving our app without worrying about database management. Our main use case is storing user profiles and activity data that needs to be accessed in real-time by our app. Overall, DynamoDB provides the flexibility, scalability, and ease of use we need as our user base continues growing exponentially.
- Scaling
- NoSQL
- Flexibility
- In-memory
- Cache
- Documents
July 27, 2023
Rocking database
DynamoDB is used to store data regarding agents availability, engine transient info. We are using it so that it provides single digit low latency, reliability and resiliency. It is also easy to manage, code and as it can scale infinitely it can suffice our load needs. Best NoSQL database i ever used.
- Scalability
- Availability
- Reliability
- UI more features
- More charts
- Cost intuitiveness
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
June 18, 2023
Just another review…
To save information on customers without having to deal with tables and columns, instead, you just pull the data from the person you want and continue. Like if a person is using a social network instead of having a table with a bunch of information we can locate customers easily.
- Pull Information easily.
- Fast and accessible.
- Being a elastic.
- Don’t see any, to be honest.
- Maybe implementing more tools.
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.