amazon-timestream-tools | enable loading data and building applications | Cloud Storage library

amazon-timestream-tools is a Java library typically used in Storage, Cloud Storage, Amazon S3 applications. amazon-timestream-tools has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However amazon-timestream-tools build file is not available. You can download it from GitHub.

Amazon Timestream is a fast, scalable, fully managed, purpose-built time series database that makes it easy to store and analyze trillions of time series data points per day. Amazon Timestream saves you time and cost in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost optimized storage tier based upon user defined policies. Amazon Timestream’s purpose-built query engine lets you access and analyze recent and historical data together, without having to specify its location. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in your data in near real-time. Timestream is serverless and automatically scales up or down to adjust capacity and performance. Because you don’t need to manage the underlying infrastructure, you can focus on optimizing and building your applications. Amazon Timestream also integrates with commonly used services for data collection, visualization, and machine learning. You can send data to Amazon Timestream using AWS IoT Core, Amazon Kinesis, Amazon MSK, and open source Telegraf. You can visualize data using Amazon QuickSight, Grafana, and business intelligence tools through JDBC. You can also use Amazon SageMaker with Amazon Timestream for machine learning. For more information on how to use Amazon Timestream see the AWS documentation. This repository contains sample applications, plugins, notebooks, data connectors, and adapters to help you get started with Amazon Timestream and to enable you to use Amazon Timestream with other tools and services.