Ahoy vs Rakam
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps. | 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. |
| - | BI Reporting, Funnel Analysis, Retention Analysis, Event Explorer |
Statistics | |
GitHub Stars 4.4K | GitHub Stars - |
GitHub Forks 380 | GitHub Forks - |
Stacks 155 | Stacks 1 |
Followers 17 | Followers 4 |
Votes 3 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
What are some alternatives to Ahoy, 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.
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
Is the game-changing European modern data quality platform that effortlessly uncovers anomalies and errors in your data with Artificial Intelligence.
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
Next-gen, open source, lightweight, cookieless web & product analytics for everyone — GDPR/CCPA compliant.
Sportlingo
AI-powered sports analytics and skill assessment API that enables apps and platforms to deliver personalized training, drills, and performance insights.
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
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.
EventNative
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.
