Explain the features of Amazon Timestream

In this recipe, we will learn about Amazon Timestream We will also learn about the features of Amazon Timestream.

Recipe Objective - Explain the features of Amazon Timestream?

The Amazon Timestream is a widely used and is defined as a fast, scalable, and serverless time-series database solution for IoT and operational applications that allows users to store and analyse trillions of events each day 1,000 times quicker than relational databases and at a fraction of the cost. By retaining recent data in memory and shifting previous data to a cost-optimized storage tier based on user-defined criteria, Amazon Timestream saves users time and money when managing the lifetime of time series data. The purpose-built query engine in Amazon Timestream allows you to access and analyse both recent and historical data without having to indicate whether the data is in memory or in the cost-optimized tier directly in the query. Built-in time-series analytics tools in Amazon Timestream enable users to find trends and patterns in user's data in near real-time. Because Amazon Timestream is serverless and scales up and down dynamically to adapt capacity and performance, you don't have to worry about managing the underlying infrastructure, allowing users to focus on developing their apps. User's time series data is always secured with Amazon Timestream, whether at rest or in transit. For encrypting data in the magnetic storage, Amazon Timestream now lets you select an AWS KMS customer-managed key (CMK).

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Benefits of Amazon Timestream

  • The Amazon Timestream is meant to provide interactive and economical real-time analytics, with query speed up to 1,000 times quicker than relational databases and costs as little as a tenth of the price. Users can process, store, and analyse their time-series data for a fraction of the expense of traditional time-series solutions thanks to product features like scheduled queries, multi-measure records, and data storage tiers. Amazon Timestream can assist users in gaining quicker and more cost-effective insights from their data, allowing users to make better data-driven business choices and thus giving high performance at low cost. Amazon Timestream is serverless, which means users don't have to worry about managing servers or provisioning capacity, allowing users to focus on developing their apps and also users can handle billions of events and millions of queries every day using Amazon Timestream. It automatically scales to adapt capacity as their application's demands vary and thus provides serverless with auto-scaling. The complicated process of data lifecycle management is made easier with Amazon Timestream. Storage tiering is available, with a memory store for recent data and a magnetic store for historical data. Also, based on user-configurable rules, Amazon Timestream automates the transfer of data from the memory store to the magnetic storage and provides data lifecycle management.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon Timestream and the Features of Amazon Timestream.

Features of Amazon Timestream

    • It provides Serverless auto-scaling architecture

Amazon Timestream is a fully decoupled architecture that allows data intake, storage, and query to scale independently, allowing it to extend nearly infinitely to meet the demands of an application. Users don't have to worry about managing infrastructure or provisioning capacity with Amazon Timestream. The auto-scaling of data input and query is depending on their workload.

    • It supports Data storage tiering

With a memory store for recent data and a magnetic storage for past data, Amazon Timestream simplifies data lifecycle management. The magnetic store is built for quick analytic queries, while the memory store is geared for fast point-in-time queries. Users don't have to establish, monitor, or manage a sophisticated data preservation process using Amazon Timestream. Data retention policies may be easily configured to migrate data from the memory store to the magnetic store and to erase data from the magnetic store when it reaches a specific age.

    • It provides a Purpose-built adaptive query engine

Users don't need to utilise several tools to access data using Amazon Timestream. With Amazon Timestream's adaptive query engine, Users can retrieve data from several storage tiers with a single SQL expression. Without needing users to identify the data location, it invisibly accesses and mixes data across storage tiers.

    • It provides Built-in time-series analytics

Time series analytics are supported by Amazon Timestream, and time series is defined as a native data type. Advanced aggregates, window functions, and complicated data types like arrays and rows are all supported.

    • It provides encrypted data

Users don't need to encrypt data at rest or in transit since Amazon Timestream automatically encrypts everything. For encrypting data in the magnetic storage, Amazon Timestream now lets users select an AWS KMS customer-managed key (CMK).

What Users are saying..

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Ray han

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I think that they are fantastic. I attended Yale and Stanford and have worked at Honeywell,Oracle, and Arthur Andersen(Accenture) in the US. I have taken Big Data and Hadoop,NoSQL, Spark, Hadoop... Read More

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