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  4. Mobile Analytics
  5. Amazon Mobile Analytics vs Amazon Quicksight vs Snowplow

Amazon Mobile Analytics vs Amazon Quicksight vs Snowplow

OverviewComparisonAlternatives

Overview

Amazon Mobile Analytics
Amazon Mobile Analytics
Stacks21
Followers55
Votes0
Snowplow
Snowplow
Stacks130
Followers174
Votes35
GitHub Stars7.0K
Forks1.2K
Amazon Quicksight
Amazon Quicksight
Stacks208
Followers394
Votes5

Amazon Mobile Analytics vs Amazon Quicksight vs Snowplow: What are the differences?

Introduction

When looking at analytics tools for a website, Amazon offers a range of options such as Amazon Mobile Analytics, Amazon Quicksight, and Snowplow. Each tool has its own unique features and capabilities, catering to different analytical needs. Here, we will delve into the key differences between Amazon Mobile Analytics and Amazon Quicksight and Snowplow.

  1. Data Collection and Storage: Amazon Mobile Analytics is primarily focused on collecting and analyzing data related to mobile app usage. It provides insights into user behavior, session duration, retention rates, and in-app purchases specific to mobile applications. On the other hand, Amazon Quicksight and Snowplow cater to a broader range of data sources, including web analytics, database connections, and third-party integrations, making them more versatile in terms of data collection and storage capabilities.

  2. Visualization and Reporting: Amazon Mobile Analytics offers basic visualization tools and pre-built dashboards tailored to mobile app metrics. In contrast, Amazon Quicksight provides more advanced data visualization features that allow users to create customized reports, interactive dashboards, and visualizations across various data sources. Snowplow, being an open-source platform, focuses on raw event data collection and requires integration with third-party visualization tools for in-depth reporting and analysis.

  3. Scalability and Flexibility: Amazon Mobile Analytics is suitable for small to medium-scale mobile applications with a predefined set of analytical features. Amazon Quicksight is highly scalable and can handle large volumes of data with ease, making it suitable for enterprise-level analytics. Snowplow, being customizable and scalable, can adapt to diverse data environments and complex analytics needs, making it a preferred choice for data-intensive organizations requiring granular control over data processing and analysis workflows.

  4. Integration with AWS Services: Both Amazon Mobile Analytics and Amazon Quicksight seamlessly integrate with other Amazon Web Services (AWS) offerings, allowing for data transfer, storage, and processing within the AWS ecosystem. Snowplow, while not an official AWS service, can be integrated with various AWS components such as S3, Redshift, and Kinesis for a comprehensive data pipeline setup, leveraging the flexibility and scalability of AWS cloud infrastructure.

  5. Ownership and Control: Amazon Mobile Analytics and Amazon Quicksight are managed services provided by Amazon, offering a user-friendly interface and simplified setup process. In contrast, Snowplow is a self-hosted solution that provides users with greater control over data governance, privacy, and configurations, making it a preferred choice for organizations with strict data compliance requirements or specific analytics use cases that demand full ownership of the analytics infrastructure.

  6. Cost Considerations: Amazon Mobile Analytics and Amazon Quicksight follow a pay-as-you-go pricing model based on usage metrics such as data processing and storage. In comparison, Snowplow, being an open-source platform, incurs costs related to infrastructure setup, maintenance, and customization, making it potentially more cost-effective for organizations with in-house technical expertise and infrastructure resources.

In Summary, Amazon Mobile Analytics, Amazon Quicksight, and Snowplow cater to different analytical needs, with variations in data collection, visualization, scalability, integration with AWS services, ownership, control, and cost considerations. Each tool offers unique features and capabilities tailored to specific use cases and organizational requirements.

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Detailed Comparison

Amazon Mobile Analytics
Amazon Mobile Analytics
Snowplow
Snowplow
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.

Snowplow is a real-time event data pipeline that lets you track, contextualize, validate and model your customers’ behaviour across your entire digital estate.

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).
Track rich events from your websites, mobile apps, server-side systems, third party systems and any type of connected device, so that you have a record of what happened, when, and to whom;Load your data into your data warehouse of choice to power sophisticated analytics;Process your data including validating, enriching and modeling it;Your data is available in real-time via Amazon Kinesis, Google Pub/Sub and BigQuery to power real-time applications and reports;Your data pipeline is running in your cloud environment giving you full ownership and control of your data
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
GitHub Stars
-
GitHub Stars
7.0K
GitHub Stars
-
GitHub Forks
-
GitHub Forks
1.2K
GitHub Forks
-
Stacks
21
Stacks
130
Stacks
208
Followers
55
Followers
174
Followers
394
Votes
0
Votes
35
Votes
5
Pros & Cons
No community feedback yet
Pros
  • 7
    Can track any type of digital event
  • 5
    Data quality
  • 5
    First-party tracking
  • 4
    Real-time streams
  • 4
    Redshift integration
Pros
  • 1
    Dataset versionning
  • 1
    Super cheap
  • 1
    Better integration with aws
  • 1
    More features (table calculations, functions, insights)
  • 1
    Good integration with aws Glue ETL services
Cons
  • 1
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
Integrations
No integrations available
Elasticsearch
Elasticsearch
Microsoft Azure
Microsoft Azure
Amazon S3
Amazon S3
PostgreSQL
PostgreSQL
Amazon Redshift
Amazon Redshift
AzureDataStudio
AzureDataStudio
Google Cloud Storage
Google Cloud Storage
Kafka
Kafka
Google BigQuery
Google BigQuery
Apache Spark
Apache Spark
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift

What are some alternatives to Amazon Mobile Analytics, Snowplow, 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.

Keen

Keen

Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.

Superset

Superset

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.

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.

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