Amazon DynamoDB Reviews

Name: Amazon DynamoDB
Brand: Amazon Web Services (AWS)
Rating: 4.1 (41 reviews)

Vendor: Amazon Web Services (AWS)

4.1 out of 5

41 reviews
97% willing to recommend

100 followers

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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. Based on the analysis of the 41 most recent Amazon DynamoDB reviews, the overall sentiment is , with a sentiment score of 5.6. (Among the highest in the category). 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 64% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 20% of all views.

Helped 824,067 peers since 2012

Featured reviews

Rajni Kumar Jha

Senior Software Engineer at JPMorgan Chase & Co.

There are a few areas of improvement. In future releases, I would like a feature that lets us store information about public holidays or weekends. When customers call during those closed periods, we could use DynamoDB to trigger an automatic message. It could say something like, "We're currently closed due to a holiday. Please call back during our regular working hours." So this would eliminate the need for agents to manually inform customers. With a holiday calendar stored in a DynamoDB table, we could write a Lambda function to check the date. If it's a UK holiday, for example, the system could automatically play the message.

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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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Nizamuddeen TZ

Assistant Consultant at Tata Consultancy

We are currently consuming this data and storing it using coding. We are storing data in the database and retrieving those details. Everything is based on the EAP, but we are creating. There is no need to go to the particular TIN, DB, or application DB or search for the ID. Amazon DynamoDB does not currently offer any import functionality. However, users have requested this feature. For instance, if you have a large dataset stored in Excel and you wish to migrate it to DynamoDB, there is currently no direct import option available through the portal. Nevertheless, this limitation can be overcome using third-party tools such as AMP, which facilitates data importation into DynamoDB. Having an import option, whether through browsing or local file uploads, would significantly improve the efficiency of data migration, enabling users to swiftly transfer large volumes of data into DynamoDB.

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Amazon DynamoDB mindshare

As of December 2024, the mindshare of Amazon DynamoDB in the Managed NoSQL Databases category stands at 21.1%, down from 27.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Managed NoSQL Databases

PeerAnalyst reports

Type	Title	Date
Category	Managed NoSQL Databases	Dec 22, 2024	Download
Product	Reviews, tips, and advice from real users	Dec 22, 2024	Download
Comparison	Amazon DynamoDB vs Microsoft Azure Cosmos DB	Dec 22, 2024	Download
Comparison	Amazon DynamoDB vs Amazon Timestream	Dec 22, 2024	Download
Comparison	Amazon DynamoDB vs MongoDB Atlas	Dec 22, 2024	Download

Title	Rating	Mindshare	Recommending
Microsoft Azure Cosmos DB	4.1	17.8%	96%	77 interviews Add to research
Amazon DocumentDB	4.2	10.7%	100%	3 interviews Add to research

Valuable Features

Amazon DynamoDB is appreciated for scalability, cost efficiency, ease of use, and quick setup. Users highlight its capability to handle unstructured and semi-structured data, flexible schema-less design, and seamless integration with AWS services. Its serverless nature, document storage, secondary indexing, and transaction-based pricing are also valued. Furthermore, users emphasize its high-speed performance, real-time scalability, and efficient handling of large datasets.

"I appreciate the visibility of DynamoDB, as I can observe everything on the Console."
"DynamoDB is easy to configure, easy to use, and allows for writing data in JSON format."
"Being serverless, it alleviates concerns about scalability and failover."

Room for Improvement

Amazon DynamoDB needs improvements in documentation, user interface, and query capabilities. Enhanced encryption options and automated capacity scaling are desired. Users find the replication and integration processes complex and crave better import functionality, data recovery, and AI features. There's a need for more efficient pricing, improved spatial data representation, seamless cross-region data consistency, and support for larger data sizes. Users also suggest clearer guidance for setup, better backup features, and increased data import ease.

"As more data comes in, it becomes more expensive."
"Support is better if using a paid version."
"If you purchase the support plan, their support team is good. If not, it takes two to three days to respond, sometimes even more."

ROI

Users save time without provisioning databases, achieving ROI influenced by client implementations. Initial returns are strong but costs rise with extensive use. ROI varies with integration of Amazon DynamoDB and other systems. Investments bring reliability and scalability, essential for operations. Automation and data replication reduce personnel needs, leveraging existing features for regional data handling without additional measures.

Pricing

Enterprise buyers consider Amazon DynamoDB's pricing as complex and usage-based, with costs varying based on volume and provisioned throughput, offering a pay-as-you-go pricing model. While it's perceived as cheaper than some alternatives, costs can rise with high data volume or specific use cases. Some find it competitively priced and effective, especially when compared to traditional databases. Initial credits and free storage options may help, but global distribution and automated backups incur extra fees.

"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

Amazon DynamoDB is used for multiple purposes such as managing IoT data, database management, storing localization and e-commerce data, and supporting serverless functions. Users employ it for indexing large data, storing structured and unstructured information, automation, running applications, and normalizing data. It's favored for its scalability and NoSQL capabilities, accommodating both JSON data and document databases. Many integrate it with AWS services like Lambda and use it for data analytics and tracking.

Service and Support

Amazon DynamoDB's customer service and support are primarily praised for responsiveness and effectiveness, with ratings often between 4 to 10 out of 10. Support is more efficient with a paid plan, often resolving issues within 40 minutes via email or chat. Documentation is helpful; some find it self-explanatory. Instances of support lacking sufficient knowledge are noted, and there's feedback on improving local support and understanding specific use cases. Overall, many users find it satisfactory.

Deployment

Many users found Amazon DynamoDB's initial setup to be straightforward, highlighting the simplicity and speed of deployment. Some noted that knowledge of DevOps and data requirements is helpful, while others mentioned that minimal resources are needed for maintenance. A few users experienced complexity, especially without prior expertise, but overall, easy access through cloud services and proper documentation helped streamline the process, allowing rapid setup and integration.

Scalability

Amazon DynamoDB exhibits strong scalability, accommodating both small businesses and large enterprises. Users report minimal scalability issues, rating it highly. Although it handles spikes effectively, some limitations in data size impact performance for specific use cases. The service adjusts smoothly to high traffic demands and manages user data efficiently, maintaining peak throughput. DynamoDB's scalability supports a wide range of applications, ensuring users need not worry about managing infrastructure or experiencing significant performance concerns.

Stability

Amazon DynamoDB is widely regarded as stable. Users frequently report smooth performance without issues. Occasional downtime is noted but considered acceptable. Exceptions may occur when exceeding provisioned throughput, handled by retries with exponential backoff. Managed by Amazon, stability often rates high on a ten-point scale. Companies experience seamless data handling, scalability, and minimal latency. Instabilities are rarely reported, with only a few mentioning configuration challenges or publicized service disruptions. Overall, stability satisfaction is prominent.

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

Financial Services Firm

20%

Computer Software Company

19%

Manufacturing Company

Healthcare Company

Retailer

Comms Service Provider

Educational Organization

Government

Construction Company

Insurance Company

University

Energy/Utilities Company

Legal Firm

Real Estate/Law Firm

Media Company

Non Profit

Wholesaler/Distributor

Outsourcing Company

Hospitality Company

Recreational Facilities/Services Company

Logistics Company

Consumer Goods Company

Recruiting/Hr Firm

Security Firm

Wellness & Fitness Company

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.