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


savings on storage cost for data in data lakes

100s of trillions

processing requests per month with Amazon OpenSearch Service

AWS analytics services

Use cases
AWS service
Interactive analytics

Amazon Athena

Query data in Amazon S3 using SQL.

Big data processing

Amazon EMR

Run open source big data frameworks.

Data warehousing

Amazon Redshift

Fast, simple, cost-effective data warehousing.

Interactive analytics

Amazon Kinesis

Analyze real-time video and data streams.

Operational analytics

Amazon OpenSearch Service

Search, visualize, and analyze up to petabytes of text and unstructured data.

Dashboards and visualizations

Amazon QuickSight

Fast business analytics service.

Visual data preparation

AWS Glue DataBrew

Clean and normalize data up to 80 percent faster.

Real-time data movement

AWS Glue

Prepare and load data.


Amazon Managed Streaming for Apache Kafka (MSK)

Fully managed, highly available, and secure Apache Kafka service.


Amazon Kinesis Video Streams

Capture, process, and store video streams for analytics and ML.


Amazon Kinesis Data Firehose

Prepare and load real-time data streams into data stores and analytics tools.


Amazon Kinesis Data Streams

Collect streaming data for real-time analytics at scale.


AWS Database Migration Service

Replicate data from SQL and NoSQL systems to data stores and analytics systems.

Object storage

Amazon S3

Object storage built to store and retrieve any amount of data from anywhere.


AWS Lake Formation

Build a secure data lake in days.

Backup and archive

Amazon S3 Glacier

Low-cost archive storage in the cloud.


AWS Backup

Centralized backup across AWS services.

Data catalog

AWS Glue

Prepare and load data.


AWS Lake Formation

Build a secure data lake in days.

Third-party data

AWS Data Exchange

Find and subscribe to third-party data in the cloud.

Frameworks and interfaces

AWS Deep Learning AMIs

Deep learning on Amazon Elastic Compute Cloud (EC2).

Platform services

Amazon SageMaker

Build, train, and deploy machine learning models at scale.

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 ResolutionAWS Lake FormationAmazon S3 | AWS Identity and Access ManagementAWS 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
Platform services Amazon SageMaker

Solution areas

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.

Streaming Data Solution for Amazon Kinesis

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

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.


  • Moderna
  • Moderna case study
    BMW Group

    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.

    Read the case study 
  • Salesforce
  • Aerial shot of Salesforce Transit Center in San Francisco, USA.

    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%.

    Watch the video 
  • Intuit
  • Intuit customer video

    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.

    Watch the video 
  • Pinterest
  • Pinterest case study

    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

Get started

AWS Data Driven Everything program

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.

Learn more »

AWS data lab

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.

Learn more »

AWS analytics & big data reference architecture

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

Learn more »