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  1. Stackups
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  3. Mobile Analytics
  4. Mobile A B Testing
  5. Amplitude vs Snowplow vs Vessel

Amplitude vs Snowplow vs Vessel

OverviewComparisonAlternatives

Overview

Vessel
Vessel
Stacks1
Followers7
Votes0
Amplitude
Amplitude
Stacks888
Followers701
Votes36
Snowplow
Snowplow
Stacks133
Followers174
Votes35
GitHub Stars7.0K
Forks1.2K

Amplitude vs Snowplow vs Vessel: What are the differences?

<Amplitude, Snowplow, and Vessel are all analytics tools used for tracking and analyzing user data on websites or applications. However, they differ in several key aspects that are important for businesses to consider when choosing the appropriate tool for their needs.>

  1. Data Collection Methodology: Amplitude relies on client-side code to track user behavior, while Snowplow and Vessel offer server-side data collection methods, providing more flexibility and control over the data being collected.

  2. Customization and Flexibility: Snowplow is known for its high level of customization and flexibility, allowing users to define their own custom events and properties, whereas Amplitude and Vessel have more predefined event tracking options with limited customization capabilities.

  3. Data Ownership and Control: Snowplow stands out by offering complete data ownership and control, allowing users to store and analyze their data in their private data warehouse, while Amplitude and Vessel store the data on their servers, leading to potential data privacy concerns.

  4. Real-time Data Processing: Vessel is recognized for its real-time data processing capabilities, providing instant access to user analytics, while Amplitude and Snowplow may have some delays in data processing and reporting.

  5. Cost Structure: Amplitude and Vessel typically offer simpler and more straightforward pricing plans based on the volume of data being tracked, while Snowplow's pricing is more complex and can be influenced by factors such as data processing complexity and storage requirements.

  6. Integration Ecosystem: Snowplow has a more extensive integration ecosystem, allowing users to connect their data with various third-party tools and services easily, while Amplitude and Vessel may have more limited integration options.

In Summary, businesses should consider the data collection methodology, customization options, data ownership, real-time capabilities, cost structure, and integration ecosystem when choosing between Amplitude, Snowplow, and Vessel for their analytics needs.

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Detailed Comparison

Vessel
Vessel
Amplitude
Amplitude
Snowplow
Snowplow

A/B testing with Vessel allows you to deploy any test instantly. You have complete control over each part of the process - from color to messaging to test group size. Vessel offers deep level real-time monitoring so that you're able to learn everything there is to know about user trends and how to increase retention. Each test you deploy will end up with a winning variation.

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.

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

REVENUE TRACKING- Track your revenue in real-time.;DEEP INSIGHT FUNNEL- Find out exactly where you are losing their attention;SESSION TIMES- Lean how much time your users spend with your app;USER TRENDS- Find our what your users like/dislike within your app
Real-time user analytics, including funnels, retention, flexible user segmentation, and revenue analysis.; Microscope: Explore the user behavior behind any data point. Compare the behavior of engaged vs. churned users.; Growth Discovery Engine: Identify behaviors that are predictive of retention or conversion and drive explosive user growth.; Direct SQL Access via Amazon Redshift: Get access to all of your raw data with zero work on your end.
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
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
7.0K
GitHub Forks
-
GitHub Forks
-
GitHub Forks
1.2K
Stacks
1
Stacks
888
Stacks
133
Followers
7
Followers
701
Followers
174
Votes
0
Votes
36
Votes
35
Pros & Cons
No community feedback yet
Pros
  • 11
    Great for product managers
  • 9
    Easy setup
  • 6
    Efficient analysis
  • 2
    Free for up to 10M user actions per month
  • 2
    Behavioral cohorts
Cons
  • 4
    Super expensive once you're past the free plan
Pros
  • 7
    Can track any type of digital event
  • 5
    Data quality
  • 5
    First-party tracking
  • 4
    Completely open source
  • 4
    Real-time streams
Integrations
No integrations available
Looker
Looker
Segment
Segment
Urban Airship
Urban Airship
Amazon Redshift
Amazon Redshift
Mode
Mode
Optimizely
Optimizely
Periscope
Periscope
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

What are some alternatives to Vessel, Amplitude, Snowplow?

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.

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.

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.

Quickmetrics

Quickmetrics

It is a service for collecting, analyzing and visualizing custom metrics. It can be used to track anything from signups to server response times. Sending events is super simple.

Flurry

Flurry

More companies trust Flurry Analytics to understand how consumers interact with their mobile applications than all other app analytics providers combined. Over 80,000 companies use Flurry Analytics in more than 230,000 applications to measure audience reach, engagement, retention, conversions, revenue and more.

Amazon A/B Testing

Amazon A/B Testing

Run A/B Tests on the fly without writing client-side code or redeploying your app.

Taplytics

Taplytics

Taplytics is a mobile A/B testing service for native apps. By integrating our small SDK in you app, you can run experiments and deploy them to your users without requiring an App Store Update

Ahoy

Ahoy

Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.

Localytics

Localytics

Localytics provides app analytics and app marketing for the mobile market, similar to companies such as Flurry and Adobe.

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