Iteratively vs Keen: What are the differences?

Developers describe Iteratively as "The best way to track your product analytics". 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. On the other hand, Keen is detailed as "Keen is the embedded analytics API that makes shipping custom user-facing analytics easy and seamless". Keen is a set of powerful APIs that allow you to collect, analyze, and visualize events from anything connected to the internet. Send all your data – any event, from any source, all the time, any time. Keen IO was specifically built to capture and store event data — those constant little interactions that happen all day, every day, in your apps. Event data can be anything, and Keen IO gives you the ability to grab as much of it as you want, then store it forever on our cloud database.

Iteratively and Keen belong to "Custom Analytics" category of the tech stack.

Some of the features offered by Iteratively are:

• 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...)

On the other hand, Keen provides the following key features:

• You can track any kind of interaction that is happening in your website, mobile app, or backend. Simply insert some code to start sending a particular event to Keen IO whenever it happens. For example, if you want to track button taps, you put some code in your app to send an event to Keen IO whenever someone clicks that button.
• Run counts, sums, funnels, averages, segmentation and much more, using simple queries
• Draw and chart your data and display it in a custom dashboard, an analytics tab in your app, or white labeled for your customers