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.

200,000+

data lakes run on AWS

3X

faster with Amazon EMR than standard Apache Spark

3X

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

Category
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

Category Use cases AWS service
Analytics Interactive analytics Amazon Athena
Big data processing Amazon EMR
Data warehousing Amazon Redshift
Real-time analytics Amazon Kinesis Data Analytics
Operational analytics Amazon OpenSearch Service
Dashboards and visualizations Amazon QuickSight
Visual data preparation Amazon Glue DataBrew
Data movement 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 lake Object storage Amazon S3 | AWS Lake Formation
Backup and archive Amazon S3 Glacier | AWS Backup
Data catalog
AWS Glue | AWS Lake Formation
Third-party data AWS Data Exchange
Predictive Analytics and Machine Learning Frameworks and interfaces AWS Deep Learning AMIs
Platform services Amazon SageMaker

Use cases

  • Analytics & data warehousing
  • Data movement
  • Data lake
  • Predictive analytics & ML

Customers

  • data_sol_page_customer_logo_moderna
  • salesforce_122x41
  • data_sol_page_customer_logo_intuit
  • data_sol_page_customer_logo_pinterest
  • 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
  • Salesforce
    Nielsen

    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
    data_sol_page_customer_logo_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.

    Watch the video 
  • Pinterest
  • Pinterest case study
    data_sol_page_customer_logo_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 
JD-Power_Logo_@1x

"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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