Amazon DynamoDB – Create AWS DynamoDB Table using Python
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity makes it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications.
DynamoDB as a part of AWS is a key-value database of NoSQL family, developed by Amazon.com. Know more about this high-performance database in this the video, which explains the following:
1. Introduction to Amazon DynamoDB
2. Amazon DynamoDB Features
3. Amazon DynamoDB Concepts
4. Amazon DynamoDB Sample Table
5. What Amazon DynamoDB Manages
6. Amazon DynamoDB Read/Write
7. Amazon DynamoDB Pricing
8. DynamoDB vs. RDS
9. When to use DynamoDB
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multi-region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second.
Many of the world’s fastest growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads.
Hundreds of thousands of AWS customers have chosen DynamoDB as their key-value and document database for mobile, web, gaming, ad tech, IoT, and other applications that need low-latency data access at any scale. Create a new table for your application and let DynamoDB handle the rest.
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