Overview
What is Amazon DynamoDB?
Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
If you need quick noSQL for serverless applications, DynamoDB is a good option to consider
Scalable and flexible datastore
DynamoDB is a serverless, fully managed and NOSQL database.
Best NoSQL Database Tool
Extremely Scalable - Full Marks for scalability
We have thousands and thousands of products in our inventory, with the use of Amazon DynamoDb it is …
Amazing self-managing DB.
Streamlined Webhook Configuration with DynamoDB
Unlocking Efficiency and Scalability: Exploring the Benefits of Amazon DynamoDB
Amazon DynamoDB fast, flexible NoSQL database service
Best in business!
For a fast, reliable, and dynamic database schema needs, DynamoDB is your solution!
Best NoSQL database tool!
"very high efficient and scalable RDS database i.e. Amazon DynamoDB"
A perfect cloud DB
Awards
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Popular Features
- Availability (70)9.494%
- Scalability (69)9.494%
- Performance (69)9.292%
- Security (70)9.090%
Reviewer Pros & Cons
Pricing
Provisioned - Read Operation
$0.00013
Provisioned - Write Operation
$0.00065
Provisioned - Global Tables
$0.000975
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Features
NoSQL Databases
NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.
- 9.2Performance(69) Ratings
How fast the database performs under data load
- 9.4Availability(70) Ratings
Availability is the probability that the NoSQL database will be available to preform its function when called upon.
- 8.8Concurrency(68) Ratings
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.
- 9Security(70) Ratings
Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.
- 9.4Scalability(69) Ratings
NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.
- 8.6Data model flexibility(67) Ratings
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.
- 10Deployment model flexibility(23) Ratings
Can be deployed on-premise or in the cloud.
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is Amazon DynamoDB?
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
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
Comparisons
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Reviews and Ratings
(209)Attribute Ratings
Reviews
(1-25 of 80)DynamoDB is a great NoSQL storage solution
- Scalable data storage
- Solid NoSQL database
- Amazon's reliability
- Serverless solution
- Not as flexible as something like Firebase
- Has a learning curve for indexes
- Ties you into AWS infrastructure
If you need quick noSQL for serverless applications, DynamoDB is a good option to consider
- Auto-scaling is done almost instantly, it’s magical.
- Works really well with serverless apps on AWS Lambdas
- It’s surprisingly transactional and support streams processing
- It’s not cheap at all. You must be careful with billing
- Not for large data
- Backup restoration is slow.
Scalable and flexible datastore
- Quicker data delivery
- Scalable with ease
- Encryption of data
- Real time processing with streams
- nothing in particular
DynamoDB is a serverless, fully managed and NOSQL database.
- fully manageable
- i can easily monitor operation in DynamoDB
- Secure
- Limited Storage option
- Estimating costs is difficult and time-consuming.
Best NoSQL Database Tool
- 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
Extremely Scalable - Full Marks for scalability
We have thousands and thousands of products in our inventory, with the use of Amazon DynamoDb it is easy and quick to fetch and insert products to the database.
Each and every information such as color, size etc is stored in the db and everything is super quick and efficient.
- Scalibilty - At times of very high traffic, Amazon DynamoDB is very easily scalable
- Latency is low hence product fetching and insertion is quick
- As it works in Nosql model hence it is very flexible when compared to RDBS systems
- Automated Backup and recovery is a complex feauture, this needs to be simple as it is one of the most important feauture
- Transactions limit needs to be increased, currently it is around 20-25 unique items
- Cost estimation is hard and challenging
Due to its low latency, it is well suited for application that needs real time data processing like trading application.
But if, there is structured application then i would suggest them to go with Relational database approach unlike Amazon DynamoDB as it offers nosql
Amazing self-managing DB.
- 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.
Streamlined Webhook Configuration with DynamoDB
- Storing JSON Documents
- Good web-based UI for queries and administration
- Easy integration with multiple technologies and frameworks
- The record size is quite low in comparison with other solutions
- It will be great if it provides schema validation.
But if you're out of the AWS ecosystem you should consider other solutions.
- High availibility
- Seamless data replication
- Simple to implement
- Fully managed - (managed by aws as its serverless)
- Provide bulk delete data capability on console
- Data migration from different db provider
- Difficult to analyze the cost
The database is always replicated to 3 different regions seamlessly and without interrupting or slowing down the main database.
Amazon DynamoDB fast, flexible NoSQL database service
- Key-value and document data models
- Serverless
- Secondary indexes
- For our use evrything was great
- We did not see things for improvement
Wahts more as we use it, its great for indexing other complex data base or data sets.
Best in business!
- 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
For a fast, reliable, and dynamic database schema needs, DynamoDB is your solution!
- regional replication
- backups
- high availability
- must be hosted in the cloud, no on-premise option.
Best NoSQL database tool!
- It is NoSQL
- It offers good performance
- Offers well secure services
- More Documentations needed
- Aggregations
- Expensive
"very high efficient and scalable RDS database i.e. Amazon DynamoDB"
- It functions on NoSQL.
- Key-value pair
- Server-less database
- no need to manage operating system
- no need to maintain server also.
- good for IOT devices.
- can be more better for mobile service in offline mode.
- Query optimization should be more effective
- Data migration can be more fast and during migration service will be active.
- It is best suitable for large database, nor for small scale
In my opinion, it is not suited for small databases because it will cost much more. High cost if not properly used.
A perfect cloud DB
- Data storage and retrival
- Scalability
- availability
- performance
- More pre-defined functions for ETL SCD option
- More datatype support
- configuration and setup can be made simple
Great products!
- It scales pretty well to accommodate spike traffic
- It supports large read and write throughout at the same time
- It has high SLA for 99.999% available
- The query limitation, the service allow query on index, but not allow if index not available
- Table join is not available , which is difficult for complex queries
- Size limit on storage capacity
Dynamo Db a unique NoSQL from Amazon
- Quick Results
- Better Queries
- Version management for stored/ updated results
- Version management can be improved. It gets irritating at times
- Limited query language as compared to some other industry rivals
- Pricing is a little high
DynamoDB from a service providers perspective
- Scaling
- Global tables feature
- High performance
- Integration with other AWS services
- Cost can be lower.
- Complexity of working with global tables.
- Schema design challenges
Robust & High-performing DB.
- 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.
Scalability and Speed: DynamoDB Delivers Performance Excellence
- Scalability
- Low Latency
- High Availability
- Backup and Restore
- Pricing
- Limited Query Capabilities
- Global Tables Complexity
DynamoDB is ideal for web and mobile applications that experience rapid and unpredictable traffic spikes. Its ability to auto-scale in response to demand ensures consistent performance under heavy loads.
DynamoDB is well-suited for managing user sessions and user profiles in applications, ensuring quick access to session data without compromising performance.
Less appropriate:
DynamoDB is optimized for storing structured data but may not be the best choice for storing large binary files like images, videos, or documents. In such cases, using a dedicated storage service like Amazon S3 is more appropriate.
If your application has consistent and predictable workloads that do not require frequent scaling, the cost-effectiveness of DynamoDB's on-demand pricing model may be less appealing compared to provisioned capacity.
Best Database in Market!
- 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
Feature packed with amazing service!
- 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.
DynamoDB: The Scalable, Durable, and Cost-Effective NoSQL Database
- very high response.
- scaling is very impressive.
- provide the 2 formats to store the data.
- integration of multiple services
- some udf should be provided on it
- costing is little high.
Making better data decisions with Amazon DynamoDB
- 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
My sweet and sweet experience with Amazon Dynamo DB
- Highly scalable
- Low latency
- Fully Managed service
- NoSQL
- Expensive for small workload
- Lack of a Built-in Full-Text Search
- It is designed for single-table queries, and joining data from multiple tables can be challenging.
Strict ACID Transactions Are Critical
Migrating from SQL Databases with Complex Schemas
Predominantly Read-Heavy Workloads with Minimal Writes
Limited Budget for Small Applications
Full-Text Search Is a Core Requirement