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Ahoy

155
16
+ 1
3
Snowplow

131
171
+ 1
35
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Ahoy vs Snowplow: What are the differences?

What is Ahoy? A solid foundation for analytics on Rails. Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.

What is Snowplow? Enterprise-strength web, mobile, and event analytics, powered by Hadoop, Kinesis, Redshift and Elasticsearch. Every single event, from your website(s), mobile app(s), desktop applications and server-side systems, stored in your own data warehouse and available to action in real-time.

Ahoy and Snowplow can be primarily classified as "Custom Analytics" tools.

Ahoy and Snowplow are both open source tools. Snowplow with 4.82K GitHub stars and 1K forks on GitHub appears to be more popular than Ahoy with 2.71K GitHub stars and 267 GitHub forks.

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Pros of Ahoy
Pros of Snowplow
  • 3
    Free
  • 7
    Can track any type of digital event
  • 5
    First-party tracking
  • 5
    Data quality
  • 4
    Real-time streams
  • 4
    Completely open source
  • 4
    Redshift integration
  • 3
    Snowflake integration
  • 3
    BigQuery integration

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What is Ahoy?

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

What is Snowplow?

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

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What companies use Ahoy?
What companies use Snowplow?
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What tools integrate with Ahoy?
What tools integrate with Snowplow?

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What are some alternatives to Ahoy and Snowplow?
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.
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.
Iteratively
Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate.
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.
Objectiv
Open-source product analytics infrastructure with a generic event taxonomy, so models built on one company's data set can be deployed and run on another.
See all alternatives