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Ahoy

#21in Analytics

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What is Ahoy?

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

Ahoy is a tool in the Analytics category of a tech stack.

Ahoy Pros & Cons

Pros of Ahoy

✓Free

Cons of Ahoy

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Ahoy Integrations

Rails are some of the popular tools that integrate with Ahoy. Here's a list of all 1 tools that integrate with Ahoy.

Rails

Ahoy Discussions

Discover why developers choose Ahoy. Read real-world technical decisions and stack choices from the StackShare community.

Cyril Duchon-Doris

CTO

Aug 21, 2016

Needs adviceon

Ahoy

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

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Ahoy Alternatives & Comparisons

What are some alternatives to Ahoy?

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.

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.

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.