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  5. Ahoy vs EventNative

Ahoy vs EventNative

OverviewComparisonAlternatives

Overview

Ahoy
Ahoy
Stacks155
Followers17
Votes3
GitHub Stars4.4K
Forks380
EventNative
EventNative
Stacks0
Followers4
Votes0

EventNative vs Ahoy: What are the differences?

Developers describe EventNative as "An open-source, user event collection service". It is an open source, high-performance, event collection service. Capture all events your application generates and stream to your preferred Data Warehouse with current support for RedShift and BigQuery. EventNative can be deployed in 1-click on the infrastructure of your choice. On the other hand, Ahoy is detailed as "A solid foundation for analytics on Rails". Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.

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

Ahoy is an open source tool with 3.08K GitHub stars and 308 GitHub forks. Here's a link to Ahoy's open source repository on GitHub.

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Detailed Comparison

Ahoy
Ahoy
EventNative
EventNative

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

It is an open source, high-performance, event collection service. Capture all events your application generates and stream to your preferred Data Warehouse with current support for RedShift and BigQuery. EventNative can be deployed in 1-click on the infrastructure of your choice.

-
Open source; High-performance; Current support for RedShift and BigQuery; Can be deployed in 1-click on the infrastructure of your choice
Statistics
GitHub Stars
4.4K
GitHub Stars
-
GitHub Forks
380
GitHub Forks
-
Stacks
155
Stacks
0
Followers
17
Followers
4
Votes
3
Votes
0
Pros & Cons
Pros
  • 3
    Free
No community feedback yet
Integrations
Rails
Rails
JavaScript
JavaScript
PostgreSQL
PostgreSQL
Google BigQuery
Google BigQuery
Amazon Redshift
Amazon Redshift
Clickhouse
Clickhouse

What are some alternatives to Ahoy, EventNative?

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.

Snowplow

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.

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.

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.

Rybbit

Rybbit

Next-gen, open source, lightweight, cookieless web & product analytics for everyone — GDPR/CCPA compliant.

Sportlingo

Sportlingo

AI-powered sports analytics and skill assessment API that enables apps and platforms to deliver personalized training, drills, and performance insights.

Iteratively

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.

Objectiv

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

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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