Analytics on AWS
AWS Analytics services
Amazon Athena
Query data in S3 using SQL.
Amazon EMR
Hosted Hadoop framework.
Amazon Redshift
Fast, simple, cost-effective data warehousing.
Amazon Kinesis
Analyze real-time video and data streams.
Amazon Elasticsearch Service
Run and scale Elasticsearch clusters.
Amazon QuickSight
Fast business analytics service.
AWS Glue DataBrew
Clean and normalize data up to 80% faster.
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 machine learning.
Amazon Kinesis Data Firehose
Prepare and load real-time data streams into data stores and analytics tools.
Amazon Kinesis Data Streams
Collect streaming data, at scale, for real-time analytics.
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.
Amazon S3 Glacier
Low-cost archive storage in the cloud.
AWS Backup
Centralized backup across AWS services.
AWS Glue
Prepare and load data.
AWS Lake Formation
Build a secure data lake in days.
AWS Data Exchange
Find and subscribe to third-party data in the cloud.
AWS Deep Learning AMIs
Deep learning on Amazon EC2.
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 Elasticsearch 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

Run SQL and complex, analytic queries against structured and unstructured data in your data warehouse and data lake, without the need for unnecessary data movement.

Quickly and easily process vast amounts of data in your data lake or on-premises for data engineering, data science development, and collaboration.

Collect, process, and analyze streaming data, and load data streams directly into your data lakes, data stores, and analytics services so you can respond in real time.

Search, explore, filter, aggregate, and visualize your data in near real time for application monitoring, log analytics, and clickstream analytics.
Customers

"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









Additional resources
Create tangible deliverables that accelerate your data and analytics modernization initiatives. AWS Data Lab is a four-day intensive engagement between your team of builders and AWS technical resources.