Amazon Web Services provides a broad range of services to help you build and deploy big data analytics applications quickly and easily. AWS gives you fast access to flexible and low cost IT resources, so you can rapidly scale virtually any big data application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing. With AWS you don’t need to make large upfront investments in time and money to build and maintain infrastructure. Instead, you can provision exactly the right type and size of resources you need to power big data analytics applications. You can access as many resources as you need, almost instantly, and only pay for what you use.
Build virtually any big data analytics application; 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.
Managed, distributed computing for big data
Easily analyze petabytes of data in Amazon S3 using ANSI SQL. With Amazon Athena, there are no clusters or data warehouses to manage, so you can start analyzing data immediately. You don’t even need to load your data into Athena, it works directly with data stored in S3.
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Yelp runs hundreds of Amazon EMR jobs to process over 30 terabytes of data every day. Using Amazon EMR, Yelp was able to save $55,000 in upfront hardware costs and get up and running in a matter of days not months.
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Powerful services to load and analyze streaming data
With over 250 digital properties worldwide, including television stations and popular publications such as Cosmopolitan and Car & Driver, Hearst corporation uses Amazon Kinesis to deliver real-time insights to data scientists and business stakeholders.
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Secure, durable, highly scalable storage with a broad set of engines
Airbnb is a community marketplace that allows property owners and travelers to connect with each other for the purpose of renting unique vacation spaces. Airbnb uses Amazon S3 to house backups and static files, including 10TB of pictures. Airbnb also moved its main MySQL database to Amazon RDS, minimizing the time spent on database administrative tasks.
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Fully managed, petabyte-scale, data warehouse
Easily provision, configure and deploy a data warehouse within minutes. Amazon Redshift handles all the work needed to manage, monitor and scale it. Query & analyze big data for less than $1,000 per TB per year. And with Redshift Spectrum, you can also run SQL queries directly against exabytes of unstructured data in Amazon S3.
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Get suggestions for the best possible visualizations, optimized for your data, to help you get quick, actionable business insights.
Cloud-native machine learning and deep learning technologies to address a broad set of use cases and needs
"We are excited about utilizing evolving speech recognition and natural language processing technology to enhance the lives of our customers.”
– Michael Krouse, Senior VP Operational Support and CIO, OhioHealth
Easily and securely connect devices to the cloud. Scale to billions of devices and trillions of messages.
How AWS IoT Works
Run code without thinking about servers. Pay for only the compute time you consume.
Zillow uses AWS Lambda and Amazon Kinesis to track a subset of mobile metrics in real time. With Kinesis and Lambda, Zillow was able to develop and deploy a cost effective solution in two weeks.
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Powerful Compute Instances for Big Data Analytics
Compute-optimized instances, such as C4 instances, feature the highest performing processors and the lowest price/compute performance in EC2. With support for clustering C4 instances are ideal for batch processing, distributed analytics, high performance science and engineering applications, ad serving, MMO gaming, and video-encoding. Learn more »
Featuring up to 48 TB of HDD-based local storage, dense storage instances deliver high throughput, and offer the lowest price per disk throughput performance on EC2. Ideal for Massively Parallel Processing (MPP), Hadoop, distributed computing, distributed file systems, network file systems, and big data processing applications. Learn more »
Memory optimized instances have the lowest cost per GiB of RAM among Amazon EC2 instance types. These instances are ideal for high performance databases, distributed memory caches, in-memory analytics, genome assembly and analysis, and other large enterprise applications. Learn more »
GPU instances are ideal to power graphics-intensive applications such as 3D streaming, machine learning, and video encoding. Each instance features high-performance NVIDIA GPUs with an on-board hardware video encoder designed to support up to eight real-time HD video streams (720p@30fps) or up to four real-time full HD video streams (1080p@30fps). Learn more »
Simple, fast, secure data migration services to and from AWS