Ahoy vs Iteratively vs Keen
Overview
Detailed Comparison
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. | Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps. | 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. |
You can track any kind of interaction that is happening on your website, mobile app, or backend. Keen handles every step in the life cycle of your data, from ingestion to presentation. | - | Single source of truth for your product analytics events;
Generates a strongly typed library for your analytics with cross-platform support (Typescript, Kotlin, Swift, etc..);
Integrates with the 3rd party and custom backends (Amplitude, Mixpanel, Segment, Intercom, etc...);
Established best practices for taxonomy and naming convention;
Quality assurance built in with code linting and runtime analysis;
Generate automatic & beautiful documentation |
Statistics | ||
GitHub Stars - | GitHub Stars 4.4K | GitHub Stars - |
GitHub Forks - | GitHub Forks 380 | GitHub Forks - |
Stacks 228 | Stacks 139 | Stacks 6 |
Followers 156 | Followers 17 | Followers 16 |
Votes 268 | Votes 3 | Votes 0 |
Pros & Cons | ||
Pros
Cons
| Pros
| No community feedback yet |
Integrations | ||
What are some alternatives to Keen, Ahoy, Iteratively?
Segment
Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.
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.
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.
Google Tag Manager
Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want.
Rudderstack
RudderStack allows you to easily build pipelines connecting your whole customer data stack, then make them smarter by pulling analysis from your data warehouse to trigger enrichment and activation in customer tools.
Dagster
It is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.
Astronomer
Astro is the modern data orchestration platform, powered by Apache Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code.
Avo
A code-generated, type-safe tracking library to accurately implement analytics events that are defined and maintained in a single-source-of-truth web app. Built to optimize the experience of maintaining and version controlling complicated event schemas.
Alation
The leader in collaborative data cataloging, it empowers analysts & information stewards to search, query & collaborate for fast and accurate insights.
