In contrast, the built-in memory store is optimized for fast point-in-time queries. This is because the magnetic store in Timestream is optimized to facilitate quick analytical queries. When it comes to performance, Timestream delivers latencies that are near real-time for data ingestion. You can further improve these numbers with efficient indexes and partitioning. Regardless of the table size, DynamoDB ensures high performance and maintains the latency within the millisecond range. Additionally, the performance can be significantly boosted to micro-second latency via the use of DynamoDB Accelerator (DAX). ![]() Performance DynamoDBĭynamoDB is a high-performance database service, and it can handle more than 10 trillion requests per day and 20 million requests per second at its peak.ĭynamoDB utilizes the high IO rates of the SSDs to minimize the latency and reaction time when reading and writing data. Additionally, it has built-in analytics for data interpolation, smoothing, and approximation. It is a serverless service that automatically takes care of your hardware and software deployment and maintenance.Īutomated data compression, tiering, retention, and rollups are aspects of Timestream. TimestreamĪmazon Timestream is a fully managed database service provided by AWS as a time series data store with an adaptive query processing engine. Apart from the core features of a database, DynamoDB provides some amazing additional features like backups, high availability, and scalability to make the developer's work easier. It ensures single-digit millisecond range latency at any scale and supports key-value and document data structures. An Overview of Amazon DynamoDB and Amazon Timestream DynamoDBĭynamoDB is a fully managed, highly available, NoSQL database service provided by AWS. Hence this article will compare and contrast Amazon DynamoDB and Amazon Timestream while providing user cases to help choose the right database service for your next project. However, both serve the purpose of storing two-dimensional data while offering unique features. However, DynamoDB is widely used as a cloud-based serverless NoSQL database service, while Amazon Timestream is a serverless time-series database solution that enables trillions of events to be analyzed and stored at a thousand times faster rate than relational databases and a fraction of the cost. ![]() Amazon DynamoDB and Amazon Timestream are both serverless databases offered by AWS.
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