Overview
Product Information on Amazon DynamoDB
What is Amazon DynamoDB?
Amazon DynamoDB Pricing
Overall experience with Amazon DynamoDB
“DynamoDB Excels in Performance but Presents Challenges With Data Modeling Complexity”
“Missing search features, aggregations and map reduce”
About Company
Company Description
Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.
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A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About Amazon DynamoDB
Reviewer Insights for: Amazon DynamoDB
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Performance of Amazon DynamoDB Across Market Features
Amazon DynamoDB Likes & Dislikes
- Perfromance and Scalability: DynamoDB handles traffic seamlessly without manual tuning - Serverless desgin: No need to manage infrastructure or worry about downtime. - Integration with AWS ecosystem: Works flawlessly with Lambda, API Gateway and CloudWatch.
The best of all is the speedness of retrieving and storing data and the scalability. It's also very usefull the authentication of the product integreted with AWS.
- You can choose on-demand capacity mode to start - Some features like backup, restore and point in time recovery are great features provided by this DB - In-depth security through IAM and encryption - overall it performs extremely well for a scalable system - Aws support is responsive and helpful
Data modeling complexity is one of the things I dislike the most about DynamoDB. You have to design around access patterns, not relationships, which takes time to get right. Query limitations like no joins, limited query operators, and secondary indexes can't fully replace relational flexibility.
It's lack about a lot of searching features expecially when fields are not indexes.
- pricing prediction at high scale is difficult with read/write spike - debugging performance is bit time consuming - requires a high learning curve and mistake are costly to fix later after identification
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Peer Discussions
Amazon DynamoDB Reviews and Ratings
- AI ENGINEER50M-1B USDHealthcare and BiotechReview Source
DynamoDB Excels in Performance but Presents Challenges With Data Modeling Complexity
DynamoDB has been a solid choice for managing high performance, scalable NoSQL workloads. We've used it for handling metadata and session management in a few microservices, and it's been remarkably fast and reliable. The auto scaling and on demand capacity modes make it easy to handle unpredictable traffic without worrying about provisioning. That said, the learning curve is real. The data modelling approach is quite different from traditional relational databases, and designing efficient query patters requires planning. - ENGINEER1B-10B USDSoftwareReview Source
DynamoDB Offers High Performance and Scale But Presents Pricing Challenges
- Amazing performance with single digit latency in multisecond - Auto-scaling feature of dynamoDB is handle unpredictable load - Great and tight integration with AWS ecosystem - High availability and scalability are core features of Dynamo DB - Pricing at high scale is very tough to predict - DATA ENGINEERGov't/PS/EdEducationReview Source
DynamoDB delivers exceptional speed, flexibility and reliability for Airflow DAG configuration storage
Our team adopted AWS DynamoDB to store Apache Airflow (MWAA) DAG configuration metadata, replacing a traditional RDMS-based approach. The experience has been overwhelmingly positive. DynamoDB has proven to be a low latency, highly reliable and operationally simple solution for our metadata-driven orchestration workflows. This migration immediately removed issues we previously faced with database locks and performance degradation under concurrent read/write loads. DynamoDB's serverless nature and predictable performance has allowed us to focus more on building robust data pipelines. - Qa Lead10B+ USDConsumer GoodsReview Source
DynamoDB’s Automatic Scaling and Low Latency Support Complex Retail Operations
Amazon DynamoDB has become production-critical infrastructure at our company. DynamoDB power mission-critical systems across management, membership programs, retails transactions and promotions. Teams appreciate the platforms maturity and automatic scaling, but we have to be causes with discipline needed to manage distribution and cost optimization. - Software Developer1B-10B USDSoftwareReview Source
Cross-Service Compatibility and Accidental Deletion Prevention Stand Out
I quite enjoy how easily one can create and modify the contents of a table, yet still be able to setup safeguards so as to prevent accidental deletion. Additionally, the option to toggle auto-querying of a table on or off is really convenient.