Unified serverless BI with Generative AI for data-driven decision making at scale.
Amazon QuickSight is a fully managed, serverless business intelligence service that enables organizations to deliver data-driven insights to all employees. In 2026, QuickSight has solidified its position as a leader in 'Generative BI' through the deep integration of Amazon Q, allowing users to build dashboards and perform complex data analysis using natural language prompts. Its architecture centers around SPICE (Super-fast, Parallel, In-memory Calculation Engine), which enables high-performance data processing while maintaining lower costs compared to traditional BI tools. QuickSight's unique serverless model eliminates the need for infrastructure management, automatically scaling from tens to tens of thousands of users. It integrates natively with AWS data sources like Redshift, S3, and Athena, while also supporting third-party SaaS applications and on-premises databases. The platform is particularly strong in the embedded analytics market, offering robust SDKs and APIs for developers to inject interactive dashboards into external applications. By 2026, its focus has shifted toward automated storytelling and predictive forecasting, making it a critical component for enterprises moving toward autonomous data operations.
Super-fast, Parallel, In-memory Calculation Engine designed to perform advanced calculations and serve data rapidly without hitting the underlying database.
The open-source BI platform that turns your dbt project into a governed, version-controlled analytics engine.
Transform raw data into real-time metrics with a powerful semantic layer and automated BI dashboards.
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
The world's most adaptable EPM platform for autonomous financial and operational planning.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
LLM-integrated interface that allows users to build dashboards, create executive summaries, and answer data questions via natural language.
Built-in ML algorithms for anomaly detection, forecasting, and auto-narratives without requiring data science expertise.
Logical isolation within a single QuickSight account to manage multiple customers or departments securely.
Architecture for creating, scheduling, and distributing highly formatted, multi-page PDF reports.
Fine-grained access control that restricts data visibility based on user identity or group membership.
Architecture that handles spikes in user traffic automatically without manual cluster management.
A software vendor needs to provide custom dashboards to 1,000+ different clients without building a custom graphing engine.
Registry Updated:2/7/2026
Automate user provisioning via IAM roles.
Identifying sudden drops in checkout conversions or spikes in server errors across global regions.
CFO needs to predict end-of-quarter revenue based on historical trends and current pipeline.