Compare Amazon DynamoDB vs. Amazon DynamoDB Accelerator (DAX) vs. Compute@Edge

Amazon DynamoDB is a versatile key-value and document database that provides exceptional single-digit millisecond performance, regardless of scale. As a fully managed service, it offers multi-region, multimaster durability along with integrated security features, backup and restore capabilities, and in-memory caching designed for internet-scale applications. With the ability to handle over 10 trillion requests daily and support peak loads exceeding 20 million requests per second, it serves a wide range of businesses. Prominent companies like Lyft, Airbnb, and Redfin, alongside major enterprises such as Samsung, Toyota, and Capital One, rely on DynamoDB for their critical operations, leveraging its scalability and performance. This allows organizations to concentrate on fostering innovation without the burden of operational management. You can create an immersive gaming platform that manages player data, session histories, and leaderboards for millions of users simultaneously. Additionally, it facilitates the implementation of design patterns for various applications like shopping carts, workflow engines, inventory management, and customer profiles. DynamoDB is well-equipped to handle high-traffic, large-scale events seamlessly, making it an ideal choice for modern applications.

Amazon DynamoDB is engineered for both scalability and high performance. Typically, the response times for DynamoDB are recorded in single-digit milliseconds, making it suitable for many applications. Nonetheless, specific scenarios demand even faster response times, measured in microseconds. To address these needs, DynamoDB Accelerator (DAX) offers rapid access to eventually consistent data. DAX simplifies operational and application complexities by providing a fully managed service that remains API-compatible with DynamoDB, thus requiring only minor adjustments for integration with existing applications. Additionally, for workloads that are read-heavy or experience sudden spikes in demand, DAX enhances throughput and can lead to operational cost reductions by minimizing the necessity for overprovisioning read capacity units. This is particularly advantageous for applications that frequently read the same individual keys, ensuring efficiency and performance. By implementing DAX, organizations can achieve optimal performance without compromising on scalability.

Fastly’s Compute@Edge platform empowers developers to create high-performance, globally distributed applications while seamlessly executing code at the edge, all without the burden of managing the infrastructure underneath. You can implement intricate logic for any application or backend service utilizing our efficient, secure, and scalable serverless computing model. With Compute@Edge, experience an astonishing 100x improvement in code execution startup times compared to other serverless options. Your code runs concurrently across numerous servers situated worldwide, eliminating issues like cold starts or roundtrip delays, ensuring a consistently fast computing experience. This approach prioritizes enhanced user experiences, a key aspect of digital transformation. You can effortlessly write, deploy, and test your code at the Fastly edge using a robust local development and debugging environment. Additionally, we take care of all the necessary components to ensure your application scales rapidly and globally, positioning it as close to your end users as possible. Ultimately, this enables you to focus on innovation while we handle the complexities of deployment and scaling.