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 …
Amazon DynamoDB
Amazon DynamoDB
Starting at $0 capacity unit per hour
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Top Rated
2020
Popular Features
View all 7 featuresAvailability (25)
9.9
99%
Security (25)
9.9
99%
Performance (25)
9.8
98%
Data model flexibility (25)
7.9
79%
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Pricing
View all pricingProvisioned - 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
Features Scorecard
NoSQL Databases
9.6
96%
Product Details
What is Amazon DynamoDB?
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at scale. It's a fully managed, multiregion, multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. The vendor states that DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second.
They further state that many of the world's fastest growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One currently depend on the scale and performance of DynamoDB to support mission-critical workloads.
And they provide that hundreds of thousands of AWS customers have chosen DynamoDB as their key-value and document database for mobile, web, gaming, ad tech, IoT, and other applications that need low-latency data access at any scale. They invite potential users to create a new table for any application, and let DynamoDB handle the rest.
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 | SaaS |
|---|---|
| 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 |
Comparisons
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Frequently Asked Questions
What is Amazon DynamoDB?
Amazon DynamoDB is a NoSQL database, from Amazon Web Services.
What are Amazon DynamoDB's top competitors?
What is Amazon DynamoDB's best feature?
Reviewers rate Availability and Concurrency and Security highest, with a score of 9.9.
Who uses Amazon DynamoDB?
The most common users of Amazon DynamoDB are from Enterprises (1,001+ employees) and the Computer Software industry.
Reviews and Ratings
 (115)
Reviews
(1-25 of 35)- Popular Filters
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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.
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.
January 29, 2020
Amazon DynamoDB is a solid, well performing NoSQL database.
Amazon DynamoDB is being used in a big data application we wrote in house where the data isn't transactional and the velocity is too high to store in our transactional databases. We're collecting forms data from our company website provided by potential customers so we absolutely need the data, it just doesn't have to be in order or transactional.
January 26, 2020
Full managed NoSQL option that is easy to setup and deploy.
Amazon DynamoDB is used for handling non-relational database workload that includes events and IoT specific data for analytics purposes company wide, full managed at AWS.
January 10, 2020
Great NoSQL service from AWS
DynamoDB is used by one of the many departments of our company. We were looking for some sort of NoSQL database to use to store some operational data and user records. We were implementing some AWS services and got to know DynamoDB. After careful study, we decided to use it to solve our problem.
December 22, 2019
Non-relational database hosted on the Amazon infrastructure!
Amazon DynamoDB is being used as a fast non-relational key-value data store for data analytics and other functions within our internal applications. It is being used by our Data Science, Analytics, Business Intelligence, and Engineering teams. It solves the problem of needing a reliable non-relationl data store.
We use DynamoDB as the back-end database for our content organization. It provides great scalability, reliability, and ease of use for our Development department. We have been able to cut costs significantly and improve reliability by migrating from an on-prem MS SQL infrastructure to a completely cloud-based infrastructure.
October 29, 2019
DynamoDB is great
We store user-generated content in DynamoDB. It allows us to store large quantities of data without the headaches of scalability. Our other data is stored in a relational database and we are constantly scaling it up to larger instances but with DynamoDB we set autoscaling years ago and it just chugs along.
Essentially, we can give users reliable low latency access to their personalized content even as our traffic has multiplied.
September 02, 2019
Stable, Scalable, Reliable and Secure NoSQL database as a service offered by Amazon
Amazon DynamoDB is a fully managed proprietary NoSQL database service. In other words, it is a non-relational database service. It works on the basis of key-value pairs. The best feature of the product is the performance it delivers - single-digit millisecond latency makes it perfect for websites, mobile, and many other applications. The noteworthy feature is that it can scale to any limit you want, you do not have to know everything before the project starts, you can grow the database as the project demands or descale it too. You should go for this product when you have very low latency toleration and performance plus availability and scalability are the top priorities.
August 16, 2019
Easy, Scalable, Reliable and Maintainable
Amazon DynamoDB is currently being used as one of our primary databases for several mobile and web applications. Key factors that directed us to choose Amazon DynamoDB are:
- It's part of the AWS family, and our entire platform is built on AWS and using a solution from AWS itself was one of the top priorities.
- Scalability and availability - Since its a managed solution we do not have to worry about scaling or the reliability of the database.
August 10, 2019
Development of serverless applications with high performance, and few configurations.
DynamoDB is an excellent tool that is used by the software development department, and web development has allowed us to develop applications and web pages, serverless, quickly and easily with a high level of performance, very fast and secure connection, It has been quite useful for us to implement NoSQL databases, and it is excellent for scalable projects, since we can increase memory resources as they are needed. It is quite comfortable and easy to work, since its confuration is simple, and it integrates easily with the entire aws environment.
We use DynamoDB as a database for one of our products. It solved the problem of processing data coming from different customers in different individual formats. Each client can upload files, with any number of fields, of any type. We ingest this data into DynamoDB and process is using lambda functions from there.
DynamoDB is used across the Engineering department. The biggest use case was introduced by me a couple of years back where our largest production workload was migrated to DynamoDB from Cassandra. More can be found here: https://techblog.gumgum.com/articles/moving-to-amazon-dynamodb-from-hosted-cassandra
June 21, 2019
NoSQL on steroids
We are using Dynamo DB across multiple projects including new applications to be developed or modernizing a legacy application. It addresses the business problem of offering a durable scalable document store.
May 31, 2019
DynamoDB is a great No-SQL solution
DynamoDB is being used in multiple ways to store vast amounts of semi-structured data which need to be quickly accessible by specific parties. It allows us to easily add new fields/values and access them in an easy manner as projects require. The biggest benefit we see is the ability to add additional fields and not require the structure change of continuity.
April 30, 2019
Best server-less NoSQL database for key value retrieval
In our organization, we are moving towards server-less for our in-house application as well as suggesting the same to the client. Dynamo being a serverless NoSQL database plays a key role in our application architecture.
We are using Dynamo widely for session management and product catalog user profiles.
We are using Dynamo widely for session management and product catalog user profiles.
March 05, 2019
DynamoDB - Know you Absolutely Need it Before Committing
It was used as our primary data store for a link sharing and user profile-based application. We chose it for its speed and scalability as well as what we perceived beneficial pricing model. We knew that we wanted to use a NoSQL solution, and having one that was hosted by AWS seemed like an ideal fit.
March 02, 2019
DyanmoDB scaling and backup
We use DynamoDB for our project VacationTracker. We decided to use DynamoDB because it was cheap and the latency between our AWS Serverless microservices and DynamoDB is less.
We are using DynamoDB with a simple, singular purpose - storing basic information for our customer base such as settings and configuration options. It's a quick and easy way for us to store and fetch this simple data, and since we have a very large presence within AWS already, it's a natural fit.
February 23, 2019
DynamoDB: An interim solution for rapidly-growing infrastructure
DynamoDB was used by our enterprise data platform team to store data in forms that would often change over time. It was a great NoSQL option for us since the entire team was already on AWS anyways and acquainted with its UI. While it had many advantages, DynamoDB was more of a niche solution for us since, as a data platform, we required the more advanced query and indexing capabilities of an RDS database. DynamoDB was never a permanent solution for us, only a temporary place-holder until we had the database schema finalized for an RDS database. Because of its elastic nature and ease-of-use to set up with our existing infrastructure, it worked well for our team.
February 23, 2019
DynamoDB is *the* Non-Relational database for the Serverless age
We've been using Amazon DynamoDB since it was released in 2012. Previously, we used Amazon SimpleDB, which was much slower and slightly more difficult to work with than DynamoDB. DynamoDB is our "Source of Truth" for all data stored within my company, and is used to store all of our administrative information (such as connection details, FTP account information, and contact information), as well as the blog posts that we receive and process.
We have Lambda functions that write information to DynamoDB, which triggers other lambda functions to index that data in both SQL databases as well as Algolia for advanced searching and facet support.
DynamoDB helps us support the very random access patterns that we receive for content. Some days we process almost no stories, while other days we process hundreds of thousands of stories. With DynamoDB, we can automatically scale to whatever needs the day might have.
We have Lambda functions that write information to DynamoDB, which triggers other lambda functions to index that data in both SQL databases as well as Algolia for advanced searching and facet support.
DynamoDB helps us support the very random access patterns that we receive for content. Some days we process almost no stories, while other days we process hundreds of thousands of stories. With DynamoDB, we can automatically scale to whatever needs the day might have.
February 22, 2019
DynamoDB is everything you want in a NoSQL database service
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.
December 12, 2018
Impressive when used as designed; otherwise, risky
The engineering and data teams use DynamoDB to persist data for some of our services. We use it as an inexpensive, fully-managed key-value store. The business problem it primarily addresses is developer velocity. With DynamoDB, developers do not need to configure and manage a database; even RDS requires some more configuration and on-going maintenance than DynamoDB. DynamoDB is inexpensive; it allows developers to adhere to practices like one-database-per-service when building even small, temporary services.
September 26, 2018
DynamoDB is a great NoSQL storage solution
We use Amazon DynamoDB as a scalable solution for NoSQL related storage of data. It has the benefit of still requiring a schema so it can guarantee your data shape, but it's not as loose or flexible as a JSON database.
May 03, 2018
NoSQL is DynamoDB. Always.
Amazon DynamoDB is just the best NoSQL database. I really love the interface and scalability. The best part is vertical scaling. It's just very affordable and making queries is very easy. Using Amazon's Boto3 API is a good source for proxying queries and requests. Third party module and support are good too. I am really using because they are adding new indexes to the table, making it fast and intuitive for prototyping.
I feel they lack Amazon's strong type checking. So I feel they need to work a bit on this part. I've also used DynamoDB on the local system but they need to add more flexibility to the local system. Overall, I feel if you are planning 1 million/min queries then it's perfect for your usage.
I feel they lack Amazon's strong type checking. So I feel they need to work a bit on this part. I've also used DynamoDB on the local system but they need to add more flexibility to the local system. Overall, I feel if you are planning 1 million/min queries then it's perfect for your usage.