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  5. Amplitude vs Snowplow

Amplitude vs Snowplow

OverviewComparisonAlternatives

Overview

Amplitude
Amplitude
Stacks887
Followers701
Votes36
Snowplow
Snowplow
Stacks132
Followers174
Votes35
GitHub Stars7.0K
Forks1.2K

Amplitude vs Snowplow: What are the differences?

Introduction

Amplitude and Snowplow are both analytics tools used to track and analyze user behavior on websites or mobile applications. While they have some similarities, there are several key differences between the two.

  1. Data Collection: Amplitude is a third-party tool that collects data using JavaScript libraries and sends it to their servers for analysis. On the other hand, Snowplow is a self-hosted analytics platform that requires you to set up your own tracking infrastructure and server. This allows for more control and flexibility in data collection and storage.

  2. Data Ownership and Privacy: With Amplitude, the data you collect is stored on their servers and is subject to their privacy policies. In contrast, Snowplow allows you to have full ownership and control over your data. You can choose where your data is stored and define your own privacy policies.

  3. Data Schema and Flexibility: Amplitude has a pre-defined data schema and you need to define events and properties within that schema. This makes it easier to set up and use, especially for non-technical users. Snowplow, on the other hand, allows for a completely custom data schema. You can capture any type of event or property without any limitations. This flexibility requires more technical knowledge but allows for more advanced analytics.

  4. Real-time vs Batch Processing: Amplitude provides real-time event tracking and analysis, allowing you to see user behavior immediately. Snowplow, on the other hand, uses batch processing, where data is collected and stored for later analysis. This means that insights may not be available immediately and you may need to wait for the data to be processed.

  5. Cost and Pricing Model: Amplitude has a pricing structure based on the number of users or events tracked, with different tiers based on the level of usage. Snowplow, being a self-hosted solution, is open source and free to use. However, you will need to invest in server infrastructure and maintenance, which may incur additional costs.

  6. Integration and Accessibility: Amplitude provides pre-built integrations with popular analytics and marketing tools, making it easier to connect and analyze data from different sources. Snowplow, being a self-hosted platform, requires more manual integration and configuration with other tools. It provides more control and flexibility but may require additional technical expertise.

In summary, Amplitude is a third-party analytics tool that offers easy setup, real-time tracking, and pre-built integrations, but you need to consider data ownership and privacy policies. Snowplow, on the other hand, is a self-hosted platform that requires more technical knowledge but offers full data ownership, flexibility, and cost savings.

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Detailed Comparison

Amplitude
Amplitude
Snowplow
Snowplow

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.

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
7.0K
GitHub Forks
-
GitHub Forks
1.2K
Stacks
887
Stacks
132
Followers
701
Followers
174
Votes
36
Votes
35
Pros & Cons
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
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 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.

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.

digna

digna

Is the game-changing European modern data quality platform that effortlessly uncovers anomalies and errors in your data with Artificial Intelligence.

Bitdeli

Bitdeli

Build dashboards and reports with exactly the metrics you need using plain Python scripts. There is nothing new to learn. Bitdeli keeps your results up to date, no matter how much data you have or how complex your metrics are. Get started in minutes with our growing library of open-source analytics, created by experienced data hackers.

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