Extracting insights and actionable information from data requires a broad array of technology that can work with data efficiently, scalably, and cost-effectively. AWS offers a comprehensive set of services to handle every step of the analytics process chain including data warehousing, business intelligence, batch processing, stream processing, machine learning, and data workflow orchestration. These services are powerful, flexible, and yet simple to use, enabling organizations to put their raw data to work quickly and easily.
| Service | Product Type |
Description |
|---|---|---|
| Amazon Elastic MapReduce |
Hadoop |
Provides a managed Hadoop framework to process vast amounts of data quickly and cost-effectively. |
| AWS Data Pipeline |
Data Workflow Orchestration | Helps you reliably process and move data between different AWS compute and storage services, as well as on-premise data sources, at specified intervals. |
| Amazon Elasticsearch Service | Elasticsearch |
Makes it easy to deploy, operate, and scale Elasticsearch on AWS. |
| Amazon Kinesis | Streaming Data | Easiest way to work with streaming data on AWS. |
| Amazon Machine Learning |
Machine Learning | Makes it easy for developers of all skill levels to use machine learning technology. |
| Amazon QuickSight |
Business Intelligence |
Very fast, easy-to-use, cloud-powered business intelligence for 1/10th the cost of traditional BI solutions |
| Amazon Redshift |
Data Warehouse | Fast, fully managed, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data using your existing business intelligence tools. |
Amazon Elastic MapReduce (Amazon EMR) makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances. You can also run other popular distributed frameworks such as Apache Spark and Presto in Amazon EMR, and interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB.
For more information visit the Amazon EMR product page.
AWS Data Pipeline helps you reliably process and move data between different AWS compute and storage services, as well as on-premise data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.
For more information visit the Amazon Data Pipeline product page.
Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and click stream analytics.
For more information visit the Amazon Elasticsearch Service product page.
Amazon Kinesis is a platform for streaming data on AWS, offering powerful services to make it easy to load and analyze streaming data, and also providing the ability for you to build custom streaming data applications for specialized needs. Web applications, mobile devices, wearables, industrial sensors, and many software applications and services can generate staggering amounts of streaming data – sometimes TBs per hour – that need to be collected, stored, and processed continuously. Amazon Kinesis services enable you to do that simply and at a low cost.
For more information visit the Amazon Kinesis product page.
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology.
For more information visit the Amazon Machine Learning product page.
Amazon QuickSight is a very fast, cloud-powered business intelligence (BI) service that makes it easy for all employees to build visualizations, perform ad-hoc analysis, and quickly get business insights from their data. Amazon QuickSight uses a new, Super-fast, Parallel, In-memory Calculation Engine (“SPICE”) to perform advanced calculations and render visualizations rapidly. Amazon QuickSight integrates automatically with AWS data services, enables organizations to scale to hundreds of thousands of users, and delivers fast and responsive query performance to them via SPICE’s query engine. At one-tenth the cost of traditional solutions, Amazon QuickSight enables you to deliver rich BI functionality to everyone in your organization.
For more information visit the Amazon QuickSight product page.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. Start small for $0.25 per hour with no commitments and scale to petabytes for $1,000 per terabyte per year, less than a tenth the cost of traditional solutions.
For more information visit the Amazon Redshift product page.
