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.
| Product | Market Share (%) |
|---|---|
| Amazon DynamoDB | 16.6% |
| Microsoft Azure Cosmos DB | 16.3% |
| Amazon Neptune | 9.6% |
| Other | 57.49999999999999% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Managed NoSQL Databases | Aug 29, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Aug 29, 2025 | Download |
| Comparison | Amazon DynamoDB vs Microsoft Azure Cosmos DB | Aug 29, 2025 | Download |
| Comparison | Amazon DynamoDB vs Amazon Timestream | Aug 29, 2025 | Download |
| Comparison | Amazon DynamoDB vs Amazon Neptune | Aug 29, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Microsoft Azure Cosmos DB | 4.1 | 16.3% | 95% | 102 interviewsAdd to research |
| Amazon Neptune | 4.3 | 9.6% | 100% | 3 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 2 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 24 |
| Large Enterprise | 98 |
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?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.
Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
| Author info | Rating | Review Summary |
|---|---|---|
| Sales Director for West Africa at Atomic Computing | 3.5 | I primarily use Amazon DynamoDB for its high performance and scalability in real-time analytics and context management, though I prefer RDS for stability. It's efficient for applications like storing game states. Improvement could be made in normalization. |
| Senior Business Solutions Consultant at Conn3ct | 4.0 | We use Amazon DynamoDB for efficient data lookups due to its scalability and integration capabilities with AWS services, enhancing productivity. The interface could be more intuitive, though our main role is in offering professional services rather than sales. |
| AWS Platform Engineer at Total SA | 4.0 | We use Amazon DynamoDB to track account information and automate AWS account maintenance. Its single table design and data replication are valuable, though JSON syntax can be complex. The investment saves on personnel by leveraging built-in automation and replication. |
| Data Analytics Team Leader at Cryptos | 4.0 | We are a data classification company using Amazon DynamoDB to store and manage document data. We value its fast transactions and low cost, but we find query optimization challenging. We switched from MongoDB due to DynamoDB's cost benefits. |
| Senior Engineering Consultant at ASSURANCE IQ, INC. | 4.0 | I use Amazon DynamoDB in my company for fast data storage and retrieval, particularly with serverless functions. Its performance is impressive, but the storage limit was initially restrictive, though it improved from 64 KB to 400 KB. |
| Senior Software Engineer at JPMorgan Chase & Co. | 4.0 | We use Amazon DynamoDB to manage our contact center efficiently, leveraging its ability to store multiple data attributes with a primary key. It streamlines processes by directing customer inquiries to the right department and reduces repetitive information requests. Improvements could include automatic holiday notifications. |
| Assistant Consultant at Tata Consultancy | 4.5 | I use Amazon DynamoDB, a NoSQL AWS service, for scalable and efficient unstructured data management. It offers speed and uptime, although it lacks direct import functionality, which can be addressed with third-party tools for enhanced data migration. |
| DevOps Engineer at Lightmeter | 4.5 | We use Amazon DynamoDB to store structured streaming data for processing and analytics. Its serverless nature efficiently handles large data volumes, integrates seamlessly with AWS, and alleviates scalability concerns. Previously, we used MongoDB but switched for convenience. |
