Amazon DynamoDB Customers

The driver safety score workload previously stored user behavior in an on-premises Oracle RAC cluster. Further, our Oracle database version was approaching end of service, which required capex and overheard to upgrade. We migrated the driver safety workload to Amazon DynamoDB to replace Oracle. DynamoDB auto scaling dynamically modifies resources based on traffic levels, helping to maintain consistent performance at any scale with no overhead. DynamoDB enables us to apply data changes at the client level without needing to implement time consuming database maintenance. Migrating to DynamoDB freed TMAP of the costs associated with purchasing physical servers, SAN storage, and enterprise software licenses thereby lowering our costs by 43%.

Scaling our clusters might have taken 60 minutes in the past to get servers configured and deployed. Now, we can provision in a matter of minutes, enabling our cloud and data engineers to focus on product innovation.

Previously, when faced with a sudden surge in access, the connection limits became bottlenecks. For processes that needed to withstand request spikes, we adopted Amazon DynamoDB, which is fully managed.” Akio Kudou / Manager / Product Design Department Ⅰ Smart Life Business Company

Amazon DynamoDB has built-in global tables and replication that PubNub could use to offer a high level of message bus technology at a database level. By migrating to DynamoDB, the company could then provide high local performance and reliability to customers connecting across different regions.

We’re getting locations from millions of drivers every few seconds, We needed a scalable solution for so much data, and Amazon DynamoDB was just about perfect.

Amazon Ads Measurement provides metrics that helps advertisers better understand the return on their advertising spend. Providing this critical information requires processing more than 100B events, storing over 4 petabytes of data, with peak traffic during events like Thursday Night Football and Prime Day reaching 90 million reads and 5 millions writes per second. Amazon Ads previously self-managed this workload on hundreds of Apache HBase instances. They faced challenges from time-consuming software updates, managing custom HBase code modifications, limited scale-down capabilities, and high operational overhead from dealing with hardware failures, instance type upgrades, and maintenance. This overhead led to reduced resiliency due to deploying in a single AWS Region. By migrating this service to DynamoDB global tables, Amazon Ads increased their service availability to 99.999%, reduced developer ramp-up from 3 months to 2 weeks, and reduced ticket load by 40% with no additional cost. The increased developer efficiency resulting from migrated to a fully managed service also enabled Amazon Ads to take additional charters with
no additional developer headcount.

Capcom is a leading gaming software company whose principle is to be a creator of entertainment culture. Their highly popular games need to scale to billions of requests, and Capcom uses Amazon DynamoDB to meet this demand with single-digit millisecond response times. With DynamoDB, Capcom benefited from its serverless ability to limitlessly scale. Capcom was able to re-allocate significant engineering resources from database operations to improve the quality of their games and accelerate development cycles.

Game Server Services provides solutions to help game developers monetize and realize long-term engagement with players their games. Their authentication, user management, in-game progress, inventory  management, and micro-transactions support use Amazon DynamoDB to scale to billions of requests. Game Server Services chose DynamoDB because its unbound scale helps them plan for future growth without needing to rearchitect their database as their business grows. DynamoDB's serverless architecture also lets Game Server Services run their workloads with no overhead for managing tasks associated with instance-based architectures, like version updates or scaling events. The customer can allocate their engineers to building new capabilities for their customers, which optimizes their developer efficiency.

Samsung Cloud provides a smooth backup, sync, restore, and upgrade experience for all your Galaxy devices. We use Amazon DynamoDB as a metadata index for the petabytes of voice recordings, notes, and contacts stored in Amazon S3. We chose DynamoDB for its fast performance, high durability, and serverless scaling. Some of our DynamoDB workloads store historical data and are used less frequently than others. We lowered our costs more than 30% by switching these workloads to DynamoDB Standard-Infrequent Access tables. Since there was no new code to write, and no tradeoffs for performance, durability, or scalability, we were able to make the change quickly with no impact to the customer experience.

When the COVID-19 pandemic began, there was an enormous demand for our voice and video services. In early 2020, we saw unprecedented usage grow from 10M to 300M Daily Meeting Participants from new and existing customers that needed to connect virtually. On the backend, we were able to manage this surge with Amazon DynamoDB for Zoom Meetings. Using DynamoDB global tables in conjunction with on-demand mode enabled us to scale nearly infinitely with no performance issues, even with our sudden spike in usage.

Billions of bookmarks ingested a day over Amazon Kinesis and into Amazon DynamoDB.

The capabilities Amazon DynamoDB offers and the continued innovation within it give us confidence that we can continue relying on it and innovating on top of it.

When building a storage system, you have to think about components like replication, backups, and capacity management. By using Amazon DynamoDB and Amazon S3, we simplify these problems because AWS handles many of the complex tasks.

Using the built-in TTL settings in Amazon DynamoDB, we can track when a user exceeds the maximum login attempt threshold and deny entry… The result has been a 90 percent reduction in bot login attempts, which frees up system resources for legitimate users and reduces our need to overscale.

When we analyzed alternatives to our previous setup, for what we needed, Amazon DynamoDB was a clear winner for us. And we continue to get value from it by building new abstractions like secondary indexes or security capabilities.

We are a very small team, and we don’t have any DevOps, so Amazon DynamoDB was the perfect solution for us.

We were able to deliver an in-app message box to users within two months of initial design requirements. This feature is embedded on our mobile app's home screen and delivers over 300 million messages daily, which drives a huge amount of traffic to DynamoDB. DynamoDB has been super reliable and has performed consistently, while keeping our maintenance costs low.

If we were still running on the old architecture, we would have had to use 1,000 hosts running Oracle software to support this year’s Amazon Prime Day. That’s a huge number of hosts to manage and scale. Herd is a mission-critical system for Amazon, and we are extremely confident in Amazon DynamoDB as the technology on which to run it… Because of Amazon DynamoDB, we can concentrate on delivering new features for customers instead of focusing on scaling and maintaining the databases. This is really transforming Herd as a product, and it will ultimately improve things for Amazon.com customers as well.