Amazon Web Services provides a broad platform of managed services to help you build, secure, and seamlessly scale end-to-end Big Data applications quickly and with ease. Whether your applications require real-time streaming or batch data processing; structured or unstructured data, Amazon Web Services provides the infrastructure and tools to tackle your next Big Data project. No hardware to procure, no infrastructure to maintain and scale – just what you need to collect, store, process, and analyze Big Data.

Get Started with Big Data on AWS

Create Your Free Account
Contact Sales

Check out the tutorials and resources

Collect, Store, Process, Analyze & Visualize Big Data with AWS


Collect and process big data in real-time with Amazon Kinesis Services. Load massive streams, analyze them with SQL or build your own custom applications.


Query & analyze large datasets for less than $1,000 per TB per year with Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse.


Easily provision and dynamically scale a Hadoop cluster with Amazon EMR, a managed Hadoop framework. Create and run managed Apache Spark clusters.


Create powerful predictive models & machine learning applications without the need to learn complex algorithms, using Amazon Machine Learning.


With trillions of objects stored across 11 regions worldwide, Amazon S3 provides a highly reliable, secure, scalable store for all your data, big or small.


Easily set up, operate, and scale relational databases in the cloud with Amazon RDS. Choose from MySQL, MariaDB, Oracle, Microsoft SQL Server, PostgreSQL or Amazon RDS for Aurora.


Deliver consistent, single-digit millisecond latency at any scale with Amazon DynamoDB - a managed NoSQL database for unstructured data and low latency applications.


Easily configure, scale, and operate Elasticsearch clusters, for powerful search, log analysis, and data visualization with Amazon Elasticsearch Service.


Make fast, intuitive business intelligence available to everyone, with Amazon QuickSight - a fast, simple to use business intelligence service for 1/10 the cost of traditional BI solutions.


Run virtually any type of application or backend service without provisioning or managing servers. Let AWS Lambda take care of everything required to run and scale your code. Pay only for the compute time you consume


Easily and securely connect physical devices to the cloud with Amazon IoT. Reliably scale to billions of devices and trillions of messages without having to manage any infrastructure.


Build your central data store or Data Lake. Securely store all your data in its original form, without the need to enforce a predefined schema. Then make this data available to a broad set of processing & analytical engines, enabling a far more agile data architecture.



Improve your customer's digital experience and get a better understanding of your website. Collect, process and analyze weblog data and clickstreams in batch or even real-time with Amazon Web Services.


Optimize query performance and reduce costs by shifting compute intensive data transformation (ETL) workloads from expensive data warehouses into a managed Hadoop cluster with Amazon EMR.


Combine the power of Big Data with predictive analytics and sophisticated machine learning algorithms. Build smarter applications such as recommendation engines for e-commerce websites, preventive maintenance alerts, fraud prevention, and more.


Internet advertising services need to serve thosands of targeted display ads within a few milliseconds of latency. Amazon Web Services provides services and infrastructure to build reliable, fault-tolerant, and highly scalable ad serving platforms in the cloud.


Deploy a secure, highly scalable data warehousing and business intelligence environment within minutes. Meet all your query and reporting requirements at a fraction of the cost from traditional business intelligence and data warehouse solutions.



Most Big Data technologies require large clusters of servers resulting in long provisioning and setup cycles. With AWS you can deploy the infrastructure you need almost instantly. This means your teams can be more productive, it’s easier to try new things, and projects can roll out sooner.

A broad and deep platform means you can build virtually any big data application and support any workload regardless of volume, velocity, and variety of data. With 50+ services and hundreds of features added every year, AWS provides everything you need to collect, store, process, analyze and visualize Big Data on the cloud.


As data continues to grow, AWS provides virtually unlimited storage and compute resources, along with services to help you easily scale from a few gigabytes to several petabytes; and from a few machines to thousands of nodes with just a few clicks.


AWS provides capabilities across facilities, network, software, and business processes to meet the strictest requirements. Environments are continuously audited for certifications such as ISO 27001, FedRAMP, DoD CSM, and PCI DSS. Assurance programs help you prove compliance for 20+ standards, including HIPAA, CESG, and more. Visit the Cloud Security Center to learn more.


A large partner ecosystem can help you bridge the skills gap and get started with Big Data even faster. Visit the AWS Partner Network to get help from a consulting partner or choose from thousands of tools and applications across the entire data management stack.


Find, buy, and immediately start using the software and tools you need to build Big Data and analytical applications with the AWS Marketplace. Use the AWS Marketplace’s 1-Click deployment to quickly launch pre-configured software and pay only for what you use.