Amazon DynamoDB Reviews

Name: Amazon DynamoDB
Brand: Amazon Web Services (AWS)
Rating: 4.1 (43 reviews)

4.1 out of 5

43 reviews
97% willing to recommend

What is Amazon DynamoDB?

Amazon DynamoDB is a scalable NoSQL database valued for its speed and cost efficiency, adept in handling unstructured data and delivering fast data retrieval without predefined schemas.

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Amazon DynamoDB is the #2 ranked solution in top Managed NoSQL Databases. PeerSpot users give Amazon DynamoDB an average rating of 8.2 out of 10. Amazon DynamoDB is most commonly compared to Microsoft Azure Cosmos DB: Amazon DynamoDB vs Microsoft Azure Cosmos DB. Amazon DynamoDB is popular among the large enterprise segment, accounting for 60% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 21% of all views.

Helped 859,687 peers since 2012

Featured Amazon DynamoDB reviews

MohamedBouzidi

AWS Platform Engineer at Total SA

Amazon DynamoDB has been a reliable service that is very performant and meets our expectations. Its automation capacity reduces the need for more personnel, which aligns perfectly with our strategy of focusing on serverless services. The ease of data replication between regions is a significant benefit since it was already integrated into the solution.

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ValeriaQuintanilla

Data Analytics Team Leader at Cryptos

It's easy to maintain the solution. We had some issues with the backups because DynamoDB has internal backups or restore points. We're trying to have backups with AWS, which is more expensive than having the backups in DynamoDB. We're also trying to make a configuration with Lambda functions to save the backups into S3, but that is more expensive than an AWS backup. I don't know if there is another way that we can have that backup. When we have to put in progress a disaster recovery plan, we can have those backups. Overall, I rate the solution an eight out of ten.

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Prabin Silwal

Senior Engineering Consultant at ASSURANCE IQ, INC.

Previously, when in my company, we used to store 64 KB of data, we used to get problems and errors, and due to such reason, at such a point in time, we had to find a different storage system or modify the system so that the size of the value is not more than 64 KB. The main aforementioned issue in the tool can be considered for improvement for Amazon DynamoDB. In our company, we have some data which can be stored as we want. Previously, only 64 KB could be used, and later, I think, it was about 400 KB. If the tool could have an additional 10 MB to offer, then the tool could be easier to use. The tool is a key value storage, where the key will be long. In terms of value, we couldn't store more than 64 kb previously in the tool, but later on, it was increased to 400 KB, which is a limitation that I don't like in the tool.

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Amazon DynamoDB mindshare

As of July 2025, the mindshare of Amazon DynamoDB in the Managed NoSQL Databases category stands at 18.0%, down from 24.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Managed NoSQL Databases

PeerResearch reports based on Amazon DynamoDB reviews

Type	Title	Date
Category	Managed NoSQL Databases	Jul 1, 2025	Download
Product	Reviews, tips, and advice from real users	Jul 1, 2025	Download
Comparison	Amazon DynamoDB vs Microsoft Azure Cosmos DB	Jul 1, 2025	Download
Comparison	Amazon DynamoDB vs Amazon Timestream	Jul 1, 2025	Download
Comparison	Amazon DynamoDB vs Amazon Neptune	Jul 1, 2025	Download

Title	Rating	Mindshare	Recommending
Microsoft Azure Cosmos DB	4.1	16.1%	94%	98 interviews Add to research
Amazon Neptune	4.3	10.4%	100%	3 interviews Add to research

Valuable Features

Amazon DynamoDB is praised for its fast, scalable performance and serverless architecture. It excels in handling unstructured data, offering flexibility without predefined schemas. Users appreciate its integration capabilities with other AWS services, low cost, and predictable millisecond response times. It supports NoSQL operations efficiently and allows dynamic updates to data attributes. The auto-scaling and low-cost model attract those seeking efficient, large-scale data management. Cloud integration with AWS simplifies tasks, enhancing functionality and reducing complexity.

"The fact that Amazon DynamoDB is highly scalable is one of its best features."
"Scalability has significantly enhanced data retrieval speeds."
"I appreciate the visibility of DynamoDB, as I can observe everything on the Console."

Room for Improvement

Amazon DynamoDB's documentation lacks clarity, particularly on basic topics, requiring updates. Users find the interface less user-friendly compared to competitors, needing an enhanced design. Encryption must be handled manually. Querying data can be challenging due to JSON syntax. Support for complex queries and better index management are desired. Data import functionality is missing, and scheduled data refreshes are absent. Cross-region replication requires coding, and pricing models should be more flexible for varied usage.

"Amazon DynamoDB can be quite expensive due to regional differences, so I have to be careful with the pricing."
"The user interface could be improved to make it more intuitive."
"As more data comes in, it becomes more expensive."

ROI

Organizations experience a good return initially with Amazon DynamoDB due to its reliability and scalability. It eliminates time-consuming database provisioning. Costs may increase with higher usage, and ROI is influenced by how it integrates with other systems. Personnel needs decrease because of automation and data replication features. While they do not profit directly from DynamoDB itself, their financial advantages come from professional services.

Pricing

Enterprise users of Amazon DynamoDB experience pricing based on usage and provisioned resources, making it flexible but complex. Costs can be low for small datasets but may rise significantly with high volume and feature use like global distribution and backups. Generally considered cheaper than high-end relational databases, users note that price is impacted by regional factors and data traffic. The pay-as-you-go model offers scalability, but expenses can grow with increased data demands.

"We previously paid around $20,000 a month for MongoDB, and now we're paying just $4,000 monthly for Amazon DynamoDB."
"I can say that it is not the cheapest one because if we had our own kind of storage solution, our own hosting, and instead of using the cloud, we opted for some other method, it would have been a tool of a lower cost."
"The solution's pricing is good, and it's not expensive."

Popular Use Cases

Organizations utilize Amazon DynamoDB for multiple purposes, including managing IoT data, non-relational databases, real-time analytics, and automation. It supports applications from weather data sensors and web-based services to managing structured and unstructured data. Companies use it to handle large-scale storage and retrieval needs, including streaming data, e-commerce, and localization data management. It's also ideal for fast storage, document classification, and integrating with other AWS services like Lambda for dynamic data handling.

Service and Support

Amazon DynamoDB's customer service and support are frequently praised for responsiveness and technical knowledge. Users appreciate quick solutions provided by both paid and standard support. Some note the need for local representatives and clearer communication when asking questions. Documentation and forums are valuable resources for many, while premium support offers real-time aid for enterprise needs. Occasionally, the support team may lack information, resulting in longer resolution times unless a paid support plan is utilized.

Deployment

Amazon DynamoDB's initial setup is described as straightforward by many. Some find it simple, while others mention requiring knowledge or a DevOps team. Setup times vary from minutes to weeks. Documentation and support ease the process, though some users seek external help. Deployment is quick with infrastructure as code tools. Challenges include understanding data design and anticipating future application growth, but AWS's offerings and support facilitate a manageable initial experience.

Scalability

Amazon DynamoDB is recognized for impressive scalability, accommodating workloads from small startups to large enterprises. Users consistently rate its scalability highly, often an eight or nine out of ten. Organizations successfully handle substantial data and user loads without encountering issues, thanks to AWS's management. Its architecture supports swift scaling, making it suitable even for high-demand environments. While some mention minor concerns with dynamic data storage, most appreciate its ability to manage peak throughput efficiently.

Stability

Amazon DynamoDB is widely acknowledged as a stable service. Many users rate its stability highly, often between seven and ten out of ten. They report no significant issues with crashes or bugs. While some minor configuration adjustments are needed, most appreciate its handling of high data volumes without latency. Although there are rare publicized downtimes, these are generally deemed acceptable and do not detract from its reputation for reliability.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Amazon DynamoDB Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Computer Software Company

21%

Financial Services Firm

19%

Manufacturing Company

Construction Company

Educational Organization

Comms Service Provider

Performing Arts

Healthcare Company

Insurance Company

Retailer

Wholesaler/Distributor

Legal Firm

Energy/Utilities Company

University

Government

Recreational Facilities/Services Company

Consumer Goods Company

Hospitality Company

Logistics Company

Media Company

Real Estate/Law Firm

Transportation Company

Wellness & Fitness Company

Security Firm

Pharma/Biotech Company

Translation And Localization Position

Non Profit

Leisure / Travel Company

Outsourcing Company

Venture Capital & Private Equity Firm

Renewables & Environment Company

Recruiting/Hr Firm

Compare Amazon DynamoDB with alternative products

Learn more about Amazon DynamoDB

Amazon DynamoDB is recognized for seamless integration with AWS services and its ability to accommodate large datasets. It provides powerful performance with automatic scaling, JSON document storage, and requires no external configurations. Users appreciate the predictable performance and ease of use, although the documentation lacks clarity, and local access necessitates third-party tools. Complex queries can be challenging due to limited API options. Desired improvements include better integration with other services and an enhanced interface. The cost structure and data storage limitations present challenges with improvements needed in backup, restore, caching, and query performance.

What are the standout features of Amazon DynamoDB?

Scalability: Automatically adjusts capacity to accommodate workloads.
Integration: Seamless with various AWS services for comprehensive solutions.
NoSQL Flexibility: Adapts to diverse unstructured data needs.
JSON Storage: Stores and manages data in JSON format efficiently.
Automatic Scaling: Ensures efficient resource usage and cost management.

Which benefits should users consider in reviews?

Performance: Provides fast and efficient data retrieval.
Cost Efficiency: Manages data storage costs effectively.
Ease of Use: Offers a straightforward setup and management experience.
Flexibility: Adaptable to different data requirements and workloads.

Amazon DynamoDB is implemented in industries for IoT data management, weather data storage, localization automation, and large stream indexing. It's utilized for user data management in web services and e-commerce, providing high-performance, scalable storage solutions. Companies benefit from serverless architecture, JSON storage, and integration with Lambda for optimized data handling.