

Amazon DocumentDB and Amazon Timestream are products catering to different data storage needs, with DocumentDB focusing on document-based workloads and Timestream on time-series data. Timestream's superior feature set makes it a worthwhile investment for handling time-series data.
Features: Amazon DocumentDB offers scalable reads and writes, MongoDB compatibility, and strong support for document-based applications. Amazon Timestream provides built-in analytics, serverless capabilities, and automated data retention settings tailored for time-series data.
Ease of Deployment and Customer Service: Amazon Timestream simplifies deployment with a serverless model and flexible scaling, providing a cost-efficient experience. DocumentDB requires setup of instances, offering robust support options to manage this complexity.
Pricing and ROI: Amazon DocumentDB entails a higher initial setup cost due to instance requirements but offers good long-term returns with its performance and MongoDB compatibility. Amazon Timestream, being serverless, provides a lower entry cost with efficient resource use, leading to a quicker ROI for time-series data handling, especially given its cost-effective scaling and analytics capabilities.
| Product | Market Share (%) |
|---|---|
| Amazon DocumentDB | 8.1% |
| Amazon Timestream | 6.2% |
| Other | 85.7% |


Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.
Amazon DocumentDB is designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.
Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate their on-premises or Amazon Elastic Compute Cloud (EC2) MongoDB databases to Amazon DocumentDB with virtually no downtime.
Amazon Timestream is a fully managed, maintenance-free database offering real-time data handling and seamless long-term data aggregation without merge operations, enhancing scalability and speed for IT environments and IoT data.
This service is customizable and user-friendly, making it a preferred choice for managing time-series data efficiently. Users find it beneficial for real-time analytics, monitoring application health, and automating data pipelines. While data charge management and schema design require attention, active collaboration with AWS is ongoing for feature improvements. Increasing batch size for indexing and simplifying the interface are areas identified for enhancement. The database's scalability is highly appreciated, allowing easy management of data collection and storage.
What are the key features of Amazon Timestream?Industries use Amazon Timestream to manage real-time analytics and application health monitoring. It tracks customer data size, automates pipelines, and supports time-series analyses for scaling. Organizations employ it for telemetry data management, queried in projects like microgrid solar energy, acting as a data historian for storing IoT device measurements.
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