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.
A scale-out, low latency key-value database service including support for JSON and Table data types. Built-in high availability, transactions, parallel query, and more.
Amazon Timestream is ranked 5th in Managed NoSQL Databases while Oracle NoSQL Database Cloud is ranked 7th in Managed NoSQL Databases. Amazon Timestream is rated 0.0, while Oracle NoSQL Database Cloud is rated 0.0. On the other hand, Amazon Timestream is most compared with Amazon DynamoDB, Microsoft Azure Cosmos DB, Google Cloud Bigtable and Amazon Neptune, whereas Oracle NoSQL Database Cloud is most compared with Amazon DynamoDB and Microsoft Azure Cosmos DB.
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