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Ahoy
Ahoy

135
11
+ 1
2
Rakam
Rakam

1
2
+ 1
0
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Ahoy vs Rakam: 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 Rakam? Custom Analytics Platform. 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.

Ahoy and Rakam belong to "Custom Analytics" category of the tech stack.

Ahoy is an open source tool with 2.71K GitHub stars and 267 GitHub forks. Here's a link to Ahoy's open source repository on GitHub.

- No public GitHub repository available -

What is Ahoy?

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

What is 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.
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          What tools integrate with Ahoy?
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          What are some alternatives to Ahoy and Rakam?
          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.
          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.
          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.
          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.
          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.
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          Decisions about Ahoy and Rakam
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          How developers use Ahoy and Rakam
          Avatar of Cyril Duchon-Doris
          Cyril Duchon-Doris uses AhoyAhoy

          Event Tracking, collect all sorts of events that we use for our recommendation system

          How much does Ahoy cost?
          How much does Rakam cost?
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