Ahoy vs Bitdeli vs Snowplow

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Ahoy

139
16
+ 1
3
Bitdeli

72
16
+ 1
1
Snowplow

127
171
+ 1
35
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Pros of Ahoy
Pros of Bitdeli
Pros of Snowplow
  • 3
    Free
  • 1
    Analytics on my GitHub repos
  • 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 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.

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 tools integrate with Ahoy?
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What are some alternatives to Ahoy, Bitdeli, 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.
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.
Rakam
You can build custom reports or custom dashboards just connect Rakam with third-party tools or join Rakam data with internal data sources. A full stack analytics platform for you, including both backend and frontend.
See all alternatives