Solutions for Analytics

Discover curated Solutions that address varied analytics use cases

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Transforming analytics with AWS

Unlock the full potential of the cloud and innovate faster. AWS offers the broadest set of services, Solutions, and Guidance coupled with pre-built industry AWS Partner Solutions to make it easier to select the right tools for your highest-priority workloads. Use Analytics Solutions on AWS to collect, ingest, and visualize data, deploy a scalable data warehouse, and apply machine learning techniques with third-party data sources.

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Browse Solutions for analytics

Explore AWS Services, ready-to-deploy AWS Solutions, specialized Partner Solutions, and architectural Guidance for your analytics use cases.

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Advanced Analytics
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Predictive Analytics and Machine Learning
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  • AWS Solution

    Centralized Logging with OpenSearch

    Centralized Logging with OpenSearch makes it easy for organizations to collect, ingest, and visualize log data from various sources with Amazon OpenSearch service.

  • Guidance

    Analytics Observability on AWS

    This Guidance demonstrates how you can improve the observability of your data pipelines running on Apache Spark.

  • AWS Service

    Amazon Managed Grafana

    Scalable and secure data visualization for your operational metrics, logs, and traces

  • AWS Service

    Amazon OpenSearch Service

    Securely unlock real-time search, monitoring, and analysis of business and operational data

  • Partner Solution

    whylabs, inc.

    WhyLabs AI Observatory: The Data and ML Monitoring Platform

    WhyLabs is the essential AI Observability Platform for model and data health. It is the only machine learning monitoring and observability platform that doesn't operate on raw data, which enables a no-configuration solution, privacy preservation, and massive scale. Machine learning engineers and data scientists rely on the platform to monitor ML applications and data pipelines by surfacing and resolving data quality issues, data bias, and concept drift. These capabilities help AI builders reduce model failures, avoid downtime, and ensure customers are getting the best user experience. With out-of-the-box anomaly detection and purpose-built visualizations, WhyLabs eliminates the need for manual troubleshooting and reduces operational costs. The platform can monitor tabular, image, and text data. It integrates with many popular ML and data tools including Pandas, Apache Spark, AWS Sagemaker, MLflow, Flask, Ray, RAPIDS, Apache Kafka, and more. To learn more about what data types WhyLabs can work with and which tools we integrate with, check out the whylogs GitHub page: https://github.com/whylabs/whylogs WhyLabs was created at the Allen Institute for Artificial Intelligence (AI2) by Amazon Machine Learning alums and is backed by Andrew Ng's AI Fund. For custom pricing, EULA, or a private contract, please contact AWSMarketplace@whylabs.ai for a private offer.
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Analytics on AWS

AWS is transforming analytics companies with comprehensive cloud, analytics, and AI capabilities. Discover how leading organizations use AWS to enhance operations and drive innovation. Explore case studies and benefits to see how AWS can accelerate your success in analytics.

Learn more about Analytics on AWS