--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Amazon Quick" developer_entity: "AMZN Mobile LLC" bundle_id: "com.amazon.AWSQuickSight" app_store_id: "1148226615" google_play_id: "com.amazonaws.quicksight.mobile" category: "Business" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-04-13" report_date: "2026-07-29" last_verified: "2026-07-29T00:00:00.000Z" report_version: "3.35.1" total_reviews: 259 overall_rating: 3.9 confidence: "low" confidence_score: 0.35 data_age_days: 24 momentum_velocity: "maintenance" intelligence_version: 5 nemesis: "Microsoft Power BI" competitor_count: 7 tags: ["business", "freemium", "mobile app", "app review", "app analysis", "enterprise", "professionals,", "analysts,"] canonical_url: "https://marlvel.ai/apps/amazon-quick" license: "CC-BY-NC 4.0" content_version: "v2" --- # Amazon Quick Intelligence Report ## TL;DR {#tldr} - **Category**: Business · Freemium - **Signal**: Rating 3.88 > **TL;DR:** Amazon Quick is a business app by AMZN Mobile LLC, rated 3.88/5 by 259 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Amazon Quick is a business app by AMZN Mobile LLC. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3.88/5 (259 reviews) | | **Category** | Business | | **Developer** | AMZN Mobile LLC | | **Pricing** | Freemium | | **Platforms** | iOS & Android | | **Confidence** | Low (0.35/1.0) | | **Data Age** | 24d | ## Metadata & Market Performance - **Publisher:** AMZN Mobile LLC - **Category:** Business - **Target Audience:** Enterprise professionals, data analysts, and business teams requiring mobile access to corporate data and automated workflows. - **Platforms:** iOS & Android - **Version Reviewed:** 3.1.8 - **Report Date:** 2026-07-29 - **Signal Count:** 22 reviews analyzed - **Confidence:** Low (0.35/1.0) - **App Store ID (iOS):** 1148226615 - **Bundle ID:** com.amazon.AWSQuickSight - **Google Play ID:** com.amazonaws.quicksight.mobile - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-07-29 ## Executive Snapshot **What it is:** Amazon Quick is a mobile-first business intelligence app for enterprise professionals to query data and automate workflows on iOS and Android. **Why users hire it:** The app removes the friction of accessing complex corporate databases while away from a desktop, serving as a mobile-first research partner for AWS-embedded teams. ## App DNA (Features & Intent) - **[Differentiator] Agentic AI Assistant:** Natural language interface for querying enterprise data, documents, and databases. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Automated Workflows:** AI-powered execution of repetitive business processes. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Custom Workspaces:** Shared environments for team collaboration on specific projects. * *User Intent:* Users seek social connection and competitive engagement with peers. ## Market Position {#market-position} Amazon Quick competes in the Business category, currently holding the #171 Free position in Canada. The lack of a top-100 chart presence in major markets signals that the app functions as a utility for existing AWS customers rather than a standalone market-leading analytics tool. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier for initial access, Enterprise-scale pricing via AWS account integration - **Analysis:** Freemium model anchored to AWS ecosystem, leveraging free entry points to drive enterprise-wide adoption. ## SWOT Analysis {#swot} **Core Strengths:** - Native AWS infrastructure integration reduces latency for cloud-embedded enterprise users - Agentic AI assistant provides natural language interface for complex database queries - Automated workflow execution provides measurable ROI for enterprise-scale clients **Growth Levers:** - Expanding natural language query capabilities to match search-first rivals - Deepening integration with AWS-native services to create a unique data-sovereignty advantage ## Recent Changes (v4 → v5) {#recent-changes} Amazon Quick formalized its pricing model to freemium and identified a platform-specific performance gap on Android as a primary weakness. The app continues to operate in a maintenance-only cycle with no new feature releases. **Overall trend**: Mixed **Compared at**: 2026-07-29 ### High-impact changes - **[Shifted] Pricing model formalization** (pricing) - **[] Android performance weakness** (swot) ### Medium-impact changes - **[] Feature nomenclature update** (features) - **[] New competitive threat** (swot) ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Amazon Quick vs Microsoft Power BI - **[Microsoft Power BI](https://marlvel.ai/apps/microsoft-power-bi)** by Microsoft Corporation: Dominates the business intelligence mobile space with massive user adoption and a high-frequency release cadence that keeps it ahead of feature parity. - **Key differences:** - Deep integration with the broader Microsoft 365 ecosystem creates significant enterprise-level switching costs for users. - Maintains a high-velocity release schedule with nine updates in six months, consistently outpacing market peers. - Offers advanced data visualization capabilities that cater to both casual viewers and complex power users. ### Contenders (Strong Challengers) - **[Tableau Mobile](https://marlvel.ai/apps/tableau-mobile)** by Tableau Software, LLC: A long-standing industry standard that maintains a large, loyal user base and frequent updates to its mobile platform. - Offers sophisticated interactive drill-down capabilities that allow users to explore complex datasets with high precision. - Maintains a robust, long-term presence in the market, establishing it as a primary alternative for enterprise analytics. - **[Qlik Sense Client-Managed](https://marlvel.ai/apps/qlik-sense-client-managed)** by QlikTech: Provides a specialized mobile experience for client-managed environments, appealing to organizations with strict data sovereignty requirements. - Supports client-managed deployments, offering a distinct security and control model compared to cloud-native competitors. - Delivers consistent mobile updates that ensure compatibility with evolving enterprise data infrastructure and security standards. - **[ThoughtSpot](https://marlvel.ai/apps/thoughtspot)** by ThoughtSpot: Focuses on search-driven analytics, providing a unique user experience that differentiates it from traditional dashboard-heavy competitors. - Prioritizes a search-first interface that allows users to query data using natural language instead of manual filtering. - Maintains a high-frequency update cycle, reflecting a strong commitment to rapid innovation in the mobile analytics space. ### Peers (What They Do Better) - **[Domo, Inc.](https://marlvel.ai/apps/domo-inc)** by Domo, Inc. (UT): A comprehensive business management platform that integrates data visualization with broader operational workflows. - Combines data visualization with operational management tools, positioning itself as an all-in-one business command center. - Targets a broader audience by integrating social-style collaboration features directly into the data analysis workflow. - **[SAP Analytics Cloud](https://marlvel.ai/apps/sap-analytics-cloud)** by SAP SE: Serves as a critical component for organizations heavily invested in the SAP enterprise software ecosystem. - Provides seamless, native connectivity to SAP backend systems, which is a primary requirement for large-scale enterprise users. - Focuses on planning and predictive analytics, offering deeper financial modeling capabilities than standard business intelligence apps. - **[Strategy Library](https://marlvel.ai/apps/strategy-library)** by MicroStrategy Inc.: Offers a specialized dossier-based approach to data presentation, catering to users who prefer structured, report-like insights. - Uses a unique 'dossier' format that organizes data into logical, story-driven chapters rather than traditional dashboard grids. - Provides a highly structured viewing experience that is optimized for executive-level reporting and strategic decision-making. ## What's New - **Latest (v3.35.1, 3 months ago):** Routine stability improvements. ## App Momentum (Maintenance) {#momentum} - Ships only stability improvements. - No major feature builds recently. - 106 days since last store update. > **Cadence:** 3 total versions · 0 majors in last 6 months · 106 days since last update · 9 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Amazon Quick is a business app that is free with in-app purchases. It holds a 3.88/5 rating from 259 reviews. > **Bottom Line:** Amazon Quick must shift from maintenance to active feature development to avoid being eclipsed by higher-velocity rivals. Prioritizing platform-specific stability will protect the current AWS-embedded user base while feature parity is restored. **Best for:** Enterprise professionals, data analysts, and business teams requiring mobile access to corporate data and automated workflows. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Accelerate release cadence to include feature-parity updates because the current 106-day maintenance cycle erodes competitive standing → improve chart rank ### Feature Gaps vs Competitors - Search-first natural language querying (available in ThoughtSpot but absent here) ### Outlook: Mixed The enterprise analytics market is consolidating around platforms that offer both deep integration and high-frequency feature updates. Amazon Quick's current maintenance posture leaves it exposed to rivals like Power BI, which leverage their broader office-suite presence to capture enterprise users, meaning the app risks becoming a legacy tool if it does not resume active development. - 🔴 The 106-day update gap suggests stalled development, which allows competitors to capture market share through faster feature iteration. - ⚪ The app remains a utility for AWS-embedded accounts, ensuring a baseline of usage despite the lack of recent feature expansion. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3.88/5 | | Total Reviews | 259 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Amazon Quick** (this app) | 3.88/5 | N/A | AMZN Mobile LLC | | [Microsoft Power BI](https://marlvel.ai/apps/microsoft-power-bi) | 4.7/5 | Mixed | Microsoft Corporation | | [Tableau Mobile](https://marlvel.ai/apps/tableau-mobile) | 4.6/5 | N/A | Tableau Software, LLC | | [Qlik Sense Client-Managed](https://marlvel.ai/apps/qlik-sense-client-managed) | 4.3/5 | N/A | QlikTech | | [Domo, Inc.](https://marlvel.ai/apps/domo-inc) | 4.7/5 | N/A | Domo, Inc. (UT) | | [SAP Analytics Cloud](https://marlvel.ai/apps/sap-analytics-cloud) | 4.8/5 | N/A | SAP SE | ## Company Profile - **Developer:** AMZN Mobile LLC - **Website:** [https://aws.amazon.com/quicksuite/](https://aws.amazon.com/quicksuite/) - **Social:** [Instagram](https://www.instagram.com/amazonwebservices) · [Facebook](https://www.facebook.com/amazonwebservices) · [X/Twitter](https://twitter.com/awscloud) · [YouTube](https://www.youtube.com/watch) · [LinkedIn](https://www.linkedin.com/company/amazon-web-services) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/amazon-quick/id1148226615?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.amazonaws.quicksight.mobile&hl=en&gl=us) - **Dev Site:** [Official Website](https://aws.amazon.com/quicksuite/) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Microsoft Power BI*](https://marlvel.ai/apps/microsoft-power-bi) (Microsoft Corporation) · 4.7/5 Rating - [*Tableau Mobile*](https://marlvel.ai/apps/tableau-mobile) (Tableau Software, LLC) · 4.6/5 Rating - [*Qlik Sense Client-Managed*](https://marlvel.ai/apps/qlik-sense-client-managed) (QlikTech) · 4.3/5 Rating - [*Domo, Inc.*](https://marlvel.ai/apps/domo-inc) (Domo, Inc. (UT)) · 4.7/5 Rating - [*SAP Analytics Cloud*](https://marlvel.ai/apps/sap-analytics-cloud) (SAP SE) · 4.8/5 Rating - [*Strategy Library*](https://marlvel.ai/apps/strategy-library) (MicroStrategy Inc.) · 4.8/5 Rating | Excellent Sentiment - [*ThoughtSpot*](https://marlvel.ai/apps/thoughtspot) (ThoughtSpot) · 4.9/5 Rating - [*Groupon Merchant*](https://marlvel.ai/apps/groupon-merchant) (Groupon, Inc.) · 3.0/5 Rating - [*긱톡 - 재택부업, 프리랜서, 단기알바 정보 플랫폼*](https://marlvel.ai/apps/com-gigtalk-gigtalk) (Nextstep Inc.) · 4.5/5 Rating - [*두란노*](https://marlvel.ai/apps/app--971) (Duranno) · N/A Rating ## Frequently Asked Questions {#faq} ### Is Amazon Quick suitable for complex enterprise reporting? Amazon Quick is designed as a lightweight, mobile-first tool for quick insights. Users requiring complex, multi-layered enterprise reporting may find its dashboarding suite less comprehensive than dedicated platforms like Microsoft Power BI or Tableau. ### How does Amazon Quick compare to Microsoft Power BI? Microsoft Power BI offers deeper integration with the Microsoft 365 ecosystem and a more frequent update cadence. Amazon Quick provides a more streamlined, lightweight interface specifically optimized for AWS-embedded users who need rapid access to data on the go. ### Does Amazon Quick require an AWS account? Yes, Amazon Quick is anchored to the AWS ecosystem. Its pricing and enterprise-scale features are integrated directly into AWS account management, making it most effective for organizations already utilizing AWS cloud services. ### What are the best alternatives to Amazon Quick? Organizations seeking alternatives should consider Microsoft Power BI for office-suite integration, Tableau Mobile for advanced data visualization and drill-downs, or ThoughtSpot for search-driven, natural-language analytics. ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes). 4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.35/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 22 - **Data Sources:** developer website, App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 24 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/amazon-quick) Data licensed for AI Agent attribution under CC-BY-NC 4.0.