Analytics on AWS
A comprehensive set of capabilities for every analytics workload, optimized for price performance and scaleWhat's new
Overview
AWS offers a comprehensive set of capabilities for every analytics workload. From data processing and SQL analytics to streaming, search, and business intelligence, AWS delivers unmatched price performance and scalability with governance built in. Choose purpose-built services optimized for specific workloads or streamline and manage your data and AI workflows with SageMaker. Whether you're starting your data journey or seeking an integrated experience, AWS gives you the right analytics capabilities to help you reinvent your business with data.
Drive tangible business outcomes with analytics on AWS
Accelerate data, analytics, and AI with an integrated experience
Bringing together widely adopted AWS machine learning (ML) and analytics capabilities, the next generation of SageMaker delivers an integrated experience for analytics and AI with unified access to all your data. Collaborate and build faster from a unified studio (preview) using familiar AWS tools for model development, generative AI application development, data processing, and SQL analytics, accelerated by Amazon Q Developer, the most capable generative AI assistant for software development. Access all your data, whether it’s stored in data lakes, data warehouses, or third-party or federated data sources, with governance built in to address enterprise security needs. Learn more about SageMaker.
Choose from a comprehensive set of purpose-built analytics services
Increase data-driven impact with a comprehensive selection of purpose-built analytics services. From fast and cost-effective data warehousing to petabyte-scale data processing, modern business intelligence, and real-time streaming, AWS offers a broad selection of analytics capabilities optimized for price performance and scale.
Analytics category |
Description
|
AWS service and capabilities
|
Streaming |
Build, scale, and operate real-time data pipelines and applications without the burden of infrastructure management. |
|
Data lakehouse, Data warehouse, Data lake |
Access and analyze all your data in data lakehouses, data warehouses, and data lake. |
|
Data processing |
Analyze, prepare, and integrate data for analytics and AI using open-source frameworks. |
|
Business intelligence |
Build, discover, and share meaningful insights through modern interactive dashboards, pixel-perfect reports, natural language queries, and embedded analytics. |
QuickSight |
Search analytics |
Securely unlock real-time search, monitoring, and analysis of business and operational data. |
OpenSearch Service |
Data and AI governance |
Catalog, discover, share, and govern data stored across AWS, on premises, and third-party sources. |
Amazon DataZone |
The Total Economic Impact of AWS Modern Data Strategy
Cost savings and business benefits enabled by Amazon Web Services Modern Data Strategy, as reported by Forrester.
Stats
Up to 3x
better price-performance delivered by Amazon Redshift compared to other cloud data warehouses.Up to 3.9x
better performance delivered by Amazon EMR compared to open source Apache Spark.Trillions
of requests processed per month by OpenSearch Service.Hundreds
of millions of data integration jobs run on AWS Glue every month.Did you find what you were looking for today?
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