Amazon MemoryDB customers

Our read receipts workload serves as one of the critical components in delivering a personalized experience on Snapchat. We use it to deduplicate content serving and ensure users don't see the same content multiple times. This workload manages multiple terabytes of data and processes tens of millions of transactions per second. We needed a managed database that could deliver microsecond latencies, high durability, and seamless scalability. Snap now leverages MemoryDB for Valkey to deliver sub-millisecond response times for Spotlight users, who create and consume the best user-generated content on Snapchat. The platform benefits from MemoryDB's zonal-affinity support to achieve best performance and most optimal costs. We are delighted that MemoryDB supports Valkey and that Valkey is a drop-in replacement for Redis OSS. We seamlessly upgraded an existing workload from MemoryDB for Redis OSS to MemoryDB for Valkey with minimal clicks and zero downtime. The process was remarkably smooth and encouraged us to migrate two additional workloads from Aerospike to MemoryDB for Valkey. Furthermore, MemoryDB Multi-Region enables our users to access data from their nearest AWS Region, achieving microsecond read and single-digit millisecond write latencies. These capabilities bring enhanced performance and scalability to Snapchat's platform.

Our General Data Protection Regulation (GDPR) orchestration system tracks the state of regulation requests processed by multiple teams within our company. We were looking for a primary database for this system that could deliver high performance and easy-to-use backup and restore capabilities for disaster recovery scenarios. We are impressed by MemoryDB's high throughput and low latencies. MemoryDB has enabled us to have a durable primary database with the performance benefits of Redis. Our team has peace of mind knowing that our regulatory requests are durably backed up and easily available for restoring in case of an unexpected event.

Our media platform uses a microservices architecture and we are looking for the right database to support some of our platform requirements. We're excited about the launch of Amazon MemoryDB, as it fulfills our need for a durable, in-memory database that supports our short and long-term architectural plans.

Amazon MemoryDB for Redis, which delivers microsecond-read and single-digit millisecond response times and handles millions of transactions per second (TPS), has helped the BUD team to quadruple its R&D (research and development) efficiency.

We were looking for a database that can deliver high throughput and low latency to support one of our important customer-facing features of our OTT platform. With Amazon MemoryDB, we are durably storing our OTT platform’s metadata of our consumer playback experience. MemoryDB is providing low-latency read throughput without compromising on multi-AZ data durability to deliver the highest quality of service.

Many of our services use Redis with Hangfire for backlog management, and one of our requirements is to guarantee a reply to every request, which could be compromised if there is a chance of data loss during fail-over when using Redis as the only data storage. With Amazon MemoryDB for Redis, we no longer need to manage both a cache and a database.

We help a range of customers with their journey to the cloud, and our clients love Redis APIs and data structures due to their ease of use and flexibility when building mission critical applications. They are looking for a database that is Redis compatible and provides durability to avoid the risk of data loss. We're looking forward to the launch of Amazon MemoryDB for Redis, which is the first database to offer the combination of Multi-AZ durability and the versatility of Redis in a single solution.