Free Data Lakes and Analytics

on AWS

The fastest way to get answers from all your data to all your users

Learn more about AWS Analytics 

AWS can help with technical guidance and credits for the proof of concept if you qualify. Talk to a specialist to start your proof of concept.

Analytics and Data Lake Use Cases

Business Intelligence

Simple and cost effective to run high performance queries on petabytes of semi-structured and structured data so that you can build powerful reports and dashboards.

Data Warehousing

Run SQL and complex, analytic queries against structured and unstructured data in your data warehouse and data lake, without the need for unnecessary data movement.

Scalable Data Lakes

Setting up and managing data lakes today usually involves a lot of manual and time-consuming tasks, but AWS automates these tasks so you can build and secure your data lake, in days instead of months.

Operational Analytics

Search, explore, filter, aggregate, and visualize your data in near real time for application monitoring, log analytics, and clickstream analytics.

Amazon Redshift Lake House Architecture

The amount of data generated by IoT, smart devices, cloud applications, and social is growing exponentially. You need ways to easily and cost-effectively analyze all of this data with minimal time-to-insight, regardless of the format or where the data is stored.

Amazon Redshift powers the lake house architecture – enabling you to query data across your data warehouse, data lake, and operational databases to gain faster and deeper insights not possible otherwise. With a lake house architecture, you can store data in open file formats in your Amazon S3 data lake. This allows you to make this data available easily to other analytics and machine learning tools rather than locking it in a new silo.

With an Amazon Redshift lake house architecture, you can:

  • Easily query data in your data lake and write data back to your data lake in open formats.
  • Use familiar SQL statements to combine and process data across all your data stores.
  • Execute queries on live data in your operational databases without requiring any data loading and ETL pipelines.
Learn More About Additional AWS Analytics and Data Lake Products

Analytics and Data Lake product offers from the AWS Free Tier


Amazon Redshift

Data Warehouse

Fast, simple, cost-effective data warehousing.

2 Months Free

750 DC2.Large node hours per month

Amazon Redshift Pricing

Amazon ElasticSearch Service


Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and run Elasticsearch cost effectively at scale.

12 Months Free

750 hours per month of a single-AZ t2.small.elasticsearch or t3.small.elasticsearch instance

10GB per month of optional EBS storage (Magnetic or General Purpose)

Amazon Elasticsearch Pricing

Amazon QuickSight

ML-Powered BI Service

Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered business intelligence (BI) service.

2 Months Free

10 GB of SPICE capacity per month for the first 2 months for free for a total of 4 users

Amazon QuickSight

Amazon S3

Object Storage

Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance.

12 Months Free

5 GB of standard storage

20,000 Get requests

2,000 Put requests

Amazon S3 Pricing

AWS Lake Formation

Data Lake

AWS Lake Formation is a service that makes it easy to set up a secure data lake in days.

Not available on the AWS Free Tier

AWS Lake Formation Pricing

Amazon Athena

Interactive Analytics

Interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL.

Not available on the AWS Free Tier

Amazon Athena Pricing

Learn more about AWS Analytics and Data Lakes

Browse through our collection of videos and tutorials to deepen your knowledge and experience with AWS

  • Videos
  • Tutorials
  • Videos
  • The lake house approach to data warehousing with Amazon Redshift (24:40)
    Introduction to Data Warehousing on AWS with Amazon Redshift (1:35)
    An introduction to data lakes and analytics on AWS (32:28)
    Amazon Redshift Data Lake Export (4:57)
  • Tutorials
  • 10-Minute Tutorials

    Start with these free and simple tutorials to explore AWS analytics and data lake services

    Deploy a Data Warehouse Using Amazon Redshift

    In this project, you will create and configure an Amazon Redshift data warehouse, load sample data, and analyze it using a SQL client.

    Learn more »

    Migrate from Oracle to Amazon Redshift

    In this tutorial, you will learn how to successfully migrate from Oracle to Amazon Redshift with minimal downtime.

    Learn more »

    Store and Retrieve a File with Amazon S3

    This step-by-step tutorial will help you store your files in the cloud using Amazon Simple Storage Solution (S3). Amazon S3 is a service that enables you to store your data (referred to as objects) at massive scale. In this tutorial, you will create an Amazon S3 bucket, upload a file, retrieve the file and delete the file. 

    Learn more »

    Create business intelligence dashboards with Amazon QuickSight

    In this tutorial, you create data analyses, visualize the data, create stories and share the analyses through data dashboards in the cloud using Amazon QuickSight.

    Learn more »

AWS Free Tier

The AWS Free Tier offers users an opportunity to explore products for free, with offers including products that are always free, free for 12 months, and short-term free trials.


Get Started

Creating an AWS account is free and gives you immediate access to the AWS Free Tier.