Compare Amazon DocumentDB vs. Amazon Timestream

Amazon DocumentDB is ranked 9th in Managed NoSQL Databases while Amazon Timestream is ranked 5th in Managed NoSQL Databases. Amazon DocumentDB is rated 0, while Amazon Timestream is rated 0. On the other hand, Amazon DocumentDB is most compared with , whereas Amazon Timestream is most compared with Amazon DynamoDB.
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Amazon DocumentDB Logo
17 views|14 comparisons
Amazon Timestream Logo
109 views|92 comparisons
Ranking
9th
Views
17
Comparisons
14
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
5th
Views
109
Comparisons
92
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
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Overview

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 purpose-built time series database service for collecting, storing, and processing time-series data such as server and network logs, sensor data, and industrial telemetry data for IoT and operational applications. Amazon Timestream processes trillions of events per day at one-tenth the cost of relational databases, with up to one thousand times faster query performance than a general-purpose database.

Amazon Timestream efficiently stores and processes time-series data — data that measures how things change over time — by time intervals. As your data grows over time, Timestream’s adaptive query processing engine understands its location and format, making your data simpler and faster to analyze. Timestream also automates rollups, retention, tiering, and compression of data, so you can manage your data at the lowest possible cost. Timestream is serverless, so there are no servers to manage. It manages time-consuming tasks, such as server provisioning, software patching, setup, configuration, and data retention and tiering, freeing you to focus on building your applications.

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Sample Customers
Finra, The Washington Post, FreshopExpedia, Intuit, Royal Dutch Shell, Brooks Brothers
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