Category: Amazon DynamoDB

This is a guest blog post by Doron Grinzaig, a software developer at SimilarWeb, in partnership with AWS solutions architect, Leonid Koren, and AWS senior technical account manager, Ziv Shenhav. NoSQL databases are a great fit for many modern mobile, web, and gaming applications that require scalable, flexible, and highly functional databases. However, NoSQL databases by […]

Advertising technology (ad tech) companies use Amazon DynamoDB to store various kinds of marketing data, such as user profiles, user events, clicks, and visited links. Some of the uses include real-time bidding (RTB), ad targeting, and attribution. In this blog post, I identify the most common use cases and design patterns of ad tech companies […]

Gaming companies use Amazon DynamoDB in all parts of game platforms, including game state, player data, session history, and leaderboards. The main benefits that these companies get from DynamoDB are its ability to scale reliably to millions of concurrent users and requests while ensuring consistently low latency—measured in single-digit milliseconds. In addition, as a fully […]

As applications evolve to be more scalable for the web, customers are adopting flexible data structures and database engines for their use cases. Using NoSQL data stores has become increasing popular because of NoSQL’s flexible data model for building modern applications. Amazon DynamoDB is a fast and flexible NoSQL database service that can provide consistent […]

Amazon DynamoDB is a NoSQL cloud database service that is designed to provide low-latency and high-throughput performance for applications and services running at scale. Example use cases include: Massively multiplayer online games (MMOGs) Virtual and augmented reality Checkout and order processing in ecommerce Real-time stock pricing and trading When you operate such systems globally, you […]

Back in college, I created entity-relationship diagrams to model the system requirements of a relational database. The process involved finding all of the entities of the software system and defining relationships among them. I then modeled the relationships and entities into database tables before deciding which queries the database had to support. This method of […]

Since its release in 2012, Amazon DynamoDB has become a fully managed, multi-region, multimaster database service designed to deliver fast and predictable performance at any scale. DynamoDB is a NoSQL database that provides three options for performing operations: a web-based console, the AWS Command Line Interface (CLI), and a set of SDKs for a number […]

Scaling up database capacity can be a tedious and risky business. Even veteran developers and database administrators who understand the nuanced behavior of their database and application perform this work cautiously. Despite the current era of sharded NoSQL clusters, increasing capacity can take hours, days, or weeks. As anyone who has undertaken such a task […]

Time-series data shows a pattern of change over time. For example, you might have a fleet of Internet of Things (IoT) devices that record environmental data through their sensors, as shown in the following example graph. This data could include temperature, pressure, humidity, and other environmental variables. Because each IoT device tracks these values over […]

AWS CTO Werner Vogels often jokes that AWS is in the business of “pain management for enterprises,” which gets to the root of many of the IT challenges AWS customers face. Simply asking “Where can we provide customers the most benefit?” often results in a discussion of databases and related license costs, performance and scalability […]