Analytics on AWS

Fastest way to get answers from all your data to all your users

AWS provides the broadest selection of analytics services that fit all your data analytics needs and enables organizations of all sizes and industries to reinvent their business with data. From data movement, data storage, data lakes, big data analytics, log analytics, streaming analytics, business intelligence, and machine learning (ML) to anything in between, AWS offers purpose-built services that provide the best price-performance, scalability , and lowest cost.

Scalable data lakes

AWS-powered data lakes, supported by the unmatched availability of Amazon S3, can handle the scale, agility, and flexibility required to combine different data and analytics approaches. Build and store your data lakes on AWS to gain deeper insights than with traditional data silos and data warehouses allow.

Purpose-built for performance and cost

AWS analytics services are purpose-built to help you quickly extract data insights using the most appropriate tool for the job, and are optimized to give you the best performance, scale, and cost for your needs.

AWS Analytics - Modern Data Strategy (2:15)

Serverless and easy to use

AWS has the most serverless options for data analytics in the cloud including options for data warehousing, big data analytics, real-time data, data integration, and more. We manage the underlying infrastructure so you can focus on solely on your application.

Unified data access, security, and governance

AWS lets you define and manage your security, governance, and auditing policies to satisfy industry and geography-specific regulations. With AWS, you can access your data wherever it lives and we keep your data secure no matter where you store it.

Machine learning (ML) integration

AWS offers built-in ML integration as part of our purpose-built analytics services. You can build, train, and deploy ML models using familiar SQL commands, without any prior machine learning experience.

100s of thousands

data lakes run on AWS

faster with Amazon EMR than standard Apache Spark

better price performance than other cloud data warehouses

70%

savings on storage cost for data in data lakes

100s of trillions

processing requests per month with Amazon OpenSearch Service

AWS analytics services

Solution areas	Use cases	AWS service
Advanced analytics	Interactive analytics	Amazon Athena
	Big data processing	Amazon EMR
	Data warehousing	Amazon Redshift
	Real-time analytics	Amazon Managed Service for Apache Flink
	Operational analytics	Amazon OpenSearch Service
	Dashboards and visualizations	Amazon QuickSight
	Visual data preparation	Amazon Glue DataBrew
Data management	Real-time data movement	Amazon Managed Streaming for Apache Kafka (Amazon MSK) \| Amazon Kinesis Data Streams \| Amazon Kinesis Data Firehose \| Amazon Kinesis Video Streams \| AWS Glue
	Data governance	Amazon DataZone \| AWS Glue \| AWS Entity Resolution \| AWS Lake Formation \| Amazon S3 \| AWS Identity and Access Management \| AWS Data Exchange \| AWS Clean Rooms
	Object storage for data lakes	Amazon S3 \| AWS Lake Formation
	Backup and archive for data lakes	Amazon S3 Glacier \| AWS Backup
	Data catalog	AWS Glue \| AWS Lake Formation
	Third-party data	AWS Data Exchange \| AWS Clean Rooms
Predictive analytics & machine learning	Frameworks and interfaces	AWS Deep Learning AMIs
Predictive analytics & machine learning	Platform services	Amazon SageMaker

Solution areas

Advanced analytics
Data management
Predictive analytics & machine learning

Advanced analytics
Advanced analytics

AWS provides the broadest and most cost-effective set of analytics services to help you gain insights faster from all your data.

Broadest selection of analytics services

Each analytics service is purpose-built for a wide range of analytics use cases such as interactive analysis, big data processing, data warehousing, real-time analytics, operational analytics, dashboards, and visualizations.

Reduce downtime & improve capacity utilization

By reducing Mean Time to Detect (MTTD) and Mean Time To Respond (MTTR), you can focus on fixing problems just as quickly as identifying them.

Price-performant

AWS is committed to providing the best performance at the lowest cost across all analytics services, and we are continually innovating to improve the price performance of our services.

Related AWS services

Amazon Athena

Amazon EMR

Amazon Redshift

Amazon Managed Service for Apache Flink

Amazon OpenSearch Service

Amazon QuickSight

AWS Glue DataBrew

Amazon Kinesis Data Firehose

Amazon S3

Amazon SNS

AWS Glue

Amazon CloudWatch

Resources

Hands-on lab

Deploy a fast, scalable, and cost-effective data warehouse using Amazon Redshift

Webinar

The case for migrating from on-premises big data to AWS

Case study

Zappos creates breakthrough customer experiences using AWS

Blog

Harness the power of your data with AWS analytics

What is

What is Operational Analytics?
Data management
Data management

AWS makes it easy for you to combine, move, and replicate data across multiple data stores and your data lake.

Scalable

Collect, store, organize, and analyze data from multiple sources and formats and scale it to any size. Use AWS Lake Formation to automate tasks required to set up a data lake while saving time defining data structures, schema, and transformations.

Ease of use

AWS allows you to easily move data between the data lake and purpose-built data services. For example, AWS Glue is a serverless data integration service that makes it easy to prepare data for analytics, machine learning, and application development.

Faster data integration

AWS gives you the ability to query data across different data sources such as databases, data lakes, and data warehouses. For example, Amazon Athena enables you to use SQL to query a data lake and federated query lets you query live data from relational databases.

Flexible and fast

Easily ingest data in a variety of ways, including leveraging Amazon Kinesis, AWS Import/Export Snowball, AWS Direct Connect, and more. Store all of your data, regardless of volume or format, using Amazon Simple Storage Service (Amazon S3). You can also query data across different data sources such as databases, data lakes, and data warehouses.

Ease of movement

With data stored in a number of different systems, AWS allows you to easily move that data between all of your services and data stores: inside out, outside in, and around the perimeter.

Related AWS services

AWS Glue

Amazon MSK

Amazon Kinesis Data Streams

Amazon Kinesis Data Firehose

Amazon Kinesis Video Streams

Amazon AppFlow

Amazon S3

AWS Lake Formation

Amazon S3 Glacier

AWS Backup

AWS Data Exchange

Resources

Webinar

Streaming data pipelines for real-time analytics

Whitepaper

AWS serverless data analytics pipeline

Blog

Using AWS Glue schema registry with Amazon MSK and Amazon Kinesis Data Streams

Case study

Abode enhances service quality and reliability using Amazon Kinesis Video Streams

Whitepaper

Cost modeling data lakes for beginners

Webinar

Build a data lake with AWS analytics services
Predictive analytics & machine learning
Predictive analytics & machine learning

For predictive analytics use cases, AWS provides a broad set of machine learning services and tools that run on your data lake on AWS.

Deeper and faster insights

AWS analytics services leverage proven machine learning (ML) and natural language capabilities to help you gain deeper and faster insights from your data.

Platform integration

AWS provides built-in ML integration as part of its purpose-built data stores and analytics services, allowing you to create, train, and deploy ML models using familiar languages like SQL.

Experience

AWS is committed to providing the best performance at the lowest cost across all analytics services and we are continually innovating to improve the price-performance of our services.

Related AWS services

AWS Deep Learning AMIs

Amazon SageMaker

Amazon Redshift ML

Amazon Athena ML

Amazon QuickSight ML Insights

AWS Data Exchange

Resources

Whitepaper

Building media and entertainment predictive analytics solutions on AWS

Case study

Invista transforms operations by optimizing manufacturing outcomes on AWS

Webinar

Machine learning-powered business intelligence with Amazon QuickSight

Blog

How Imperva uses Amazon Athena for machine learning botnets detection

Featured Solutions on AWS

Discover Purpose-Built Services, AWS Solutions, Partner Solutions, and Guidance to rapidly address your business and technical use cases.

Centralized Logging with OpenSearch

Build a centralized log analytics platform with Amazon OpenSearch Service on AWS in 20 minutes.

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Streaming Data Solution for Amazon Kinesis

Real-time data streaming solution that allows you to continuously capture data for processing

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Maintaining Personalized Experiences with Machine Learning

Develop and deploy personalization workloads through end-to-end automation and scheduling of updates for resources within the Amazon Personalize service.

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Customers

Moderna
Moderna runs all its SAP S/4HANA workloads on AWS, including manufacturing, accounting, and inventory management, which enables the company to achieve greater efficiency and visibility across its operations. Moderna uses Amazon Redshift as a central repository for all the data it captures and stores backups in Amazon S3.

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Salesforce
Salesforce created a single source of truth for customer data its Customer Data Platform using AWS services including Amazon EMR, providing marketers with a detailed view of their customers. The company creates clusters on demand based on its workloads and process data up to 2X faster than before while reducing cost by 42%.

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Intuit
Intuit migrated to an Amazon Redshift-based solution that scales to more than 7X the data volume with zero effort and delivers 20X performance over the company's previous solution. This resulted in a 90 percent reduction in time-to-insight, and a 66 percent cost reduction.

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Pinterest
Pinterest scaled daily log search and analytics to 1.7 TB and reduced cost by 30 percent by moving to managed analytics using Amazon OpenSearch Service (successor to Amazon Elasticsearch Service). The company scaled its log analysis capabilities to reduce operational burdens, improve security, and reduce costs.

Read the case study

"We built a 120TB data lake in Amazon S3, with 1500 different schemes and use AWS analytics services like Glue, Redshift, and Athena extensively. We couldn’t get these insights from a bunch of siloed databases and warehouses - we needed an S3 scale data lake."

- Bernardo Rodriguez
Chief Digital Officer, J.D. Power

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AWS Data-Driven Everything
In the AWS Data-Driven EVERYTHING (D2E) program, AWS will partner with our customers to move faster, with greater precision and a far more ambitious scope to jump-start your own data flywheel.

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AWS Data Lab
AWS Data Lab offers accelerated, joint engineering engagements between customers and AWS technical resources to create tangible deliverables that accelerate data and analytics modernization initiatives.

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AWS analytics and big data reference architecture
Learn architecture best practices for cloud data analysis, data warehousing, and data management on AWS.

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Analytics on AWS

AWS analytics services

AWS analytics services

Solution areas

Advanced analytics

Related AWS services

Resources

Data management

Related AWS services

Resources

Predictive analytics & machine learning

Related AWS services

Resources

Featured Solutions on AWS

Centralized Logging with OpenSearch

Streaming Data Solution for Amazon Kinesis

Maintaining Personalized Experiences with Machine Learning

Customers

Get started

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