StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Mobile Analytics
  4. Mobile Analytics
  5. Amazon Mobile Analytics vs Amazon Quicksight vs Superset

Amazon Mobile Analytics vs Amazon Quicksight vs Superset

OverviewComparisonAlternatives

Overview

Amazon Mobile Analytics
Amazon Mobile Analytics
Stacks21
Followers55
Votes0
Superset
Superset
Stacks420
Followers1.0K
Votes45
Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Amazon Mobile Analytics
Amazon Mobile Analytics
Superset
Superset
Amazon Quicksight
Amazon Quicksight

You simply add the AWS Mobile SDK to your app and publish the app using your existing distribution mechanism (such as the iTunes Store, Google Play, or Amazon Appstore), and you can start accessing reports in the AWS Management Console.

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

Overview: Daily Active Users (DAU), Monthly Active Users (MAU), New Users, Sticky Factor, Total Daily Sessions, 1-Day Retention, Average Revenue Per Daily Active User (ARPDAU), Paying Daily Active Users, and Average Revenue Per Paid Daily Active User (ARPPDAU).;Active Users: Daily Active Users (DAU), Monthly Active Users (MAU), New Users, and Sticky Factor.;Sessions: Total Sessions (number of time your app was used on a particular day) and Average Number of Sessions Per Daily Active User (DAU).;Revenue: Paying Daily Active Users, Average Revenue Per Daily Active User (ARPDAU), and Average Revenue Per Paid Daily Active User (ARPPDAU), Paying Monthly Active Users, Average Revenue Per Monthly Active User (ARPMAU), and Average Revenue Per Paid Monthly Active User (ARPPMAU).;Retention: Daily retention (includes 1-day, 3-day, and 7-day retention) and weekly retention (includes 1-week, 2-week, and 3-week retention) for new users.;Custom Events: Custom events specific to your app that you define (such as when users tap a button, or each time a player finishes a level).
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets;
Pay-per-session pricing; Deliver rich, interactive dashboards for your readers; Explore, analyze, collaborate; SPICE (super-fast, parallel, in-memory, calculation engine); ML Insights
Statistics
Stacks
21
Stacks
420
Stacks
207
Followers
55
Followers
1.0K
Followers
394
Votes
0
Votes
45
Votes
5
Pros & Cons
No community feedback yet
Pros
  • 13
    Awesome interactive filtering
  • 9
    Free
  • 6
    Wide SQL database support
  • 6
    Shareable & editable dashboards
  • 5
    Great for data collaborating on data exploration
Cons
  • 4
    Link diff db together "Data Modeling "
  • 3
    Ugly GUI
  • 3
    It is difficult to install on the server
Pros
  • 1
    Super cheap
  • 1
    Better integration with aws
  • 1
    More features (table calculations, functions, insights)
  • 1
    Good integration with aws Glue ETL services
  • 1
    Dataset versionning
Cons
  • 1
    Only works in AWS environments (not GCP, Azure)
  • 1
    Very basic BI tool
Integrations
No integrations availableNo integrations available
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift

What are some alternatives to Amazon Mobile Analytics, Superset, Amazon Quicksight?

Mixpanel

Mixpanel

Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Amplitude

Amplitude

Amplitude provides scalable mobile analytics that helps companies leverage data to create explosive user growth. Anyone in the company can use Amplitude to pinpoint the most valuable behavioral patterns within hours.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

CleverTap

CleverTap

We help over 3500 brands, including Jio, Cleartrip, BookMyShow, Curiosity, McDonalds, Sony, DC Comics, and Denver Broncos understand app behavior, and make their marketing data-driven.

Countly

Countly

Countly is a product analytics solution and innovation enabler that helps organizations track product performance and user journey and behavior across mobile, web, and desktop applications.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope