AWS News Blog

Category: Amazon DynamoDB*

New – Store and Process Graph Data using the DynamoDB Storage Backend for Titan

Graph databases elegantly and efficiently represent entities (generally known as vertices or nodes) and relationships (edges) that connect them. Here’s a very simple example of a graph: Bill and Candace have a daughter named Janet, and she has a son named Bob. This makes Candace Bob’s grandmother, and Bill his grandfather. Once a graph has […]

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DynamoDB Update – Improved JSON Editing & Key Condition Expressions

Thousands of customers use to build popular applications for Gaming (Battle Camp), Mobile (The Simpsons Tapped Out), Ad-tech (AdRoll), Internet-of-Things (Earth Networks) and Modern Web applications (SmugMug). We have made some improvements to DynamoDB in order to make it more powerful and easier to use. Here’s what’s new: You can now add, edit, and retrieve […]

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Simplify Your DynamoDB Queries Using Secondary Index Scans

Let’s say you are building a data-intensive application. It might be for gaming, mobile, Internet of Things (IoT) or simply a modern web application.  You are customer-driven and you derive satisfaction from being able to rapidly respond to the ever-changing needs of your users. Their requirements are quickly evolving and the application needs to evolve […]

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Amazon DynamoDB Update – Online Indexing & Reserved Capacity Improvements

Developers all over the world are using to build applications that take advantage of its ability to provide consistent low-latency performance. The developers that I have talked to enjoy the flexibility provided by DynamoDB’s schemaless model, along with the ability to scale capacity up and down as needed.  They also benefit from the DynamoDB Reserved […]

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Amazon DynamoDB Update – JSON, Expanded Free Tier, Flexible Scaling, Larger Items

Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. Our customers love the fact that they can get started quickly and simply (and often at no charge, within the ) and then seamlessly scale to store any amount of data and handle […]

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