Iteratively vs Snowplow: What are the differences?

What is Iteratively? 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.

What is Snowplow? Enterprise-strength web, mobile, and event analytics, powered by Hadoop, Kinesis, Redshift and Elasticsearch. Every single event, from your website(s), mobile app(s), desktop applications and server-side systems, stored in your own data warehouse and available to action in real-time.

Iteratively and Snowplow can be categorized as "Custom Analytics" tools.

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, Snowplow provides the following key features:

• Record events from your website, mobile app, server side systems, third party systems and any type of connected device , so that you have a record of what happened, when, and to whom
• Processes that data including validating, enriching and modeling it
• Load that data into your own datawarehouse to power sophisticted analytics

Snowplow is an open source tool with 4.82K GitHub stars and 1K GitHub forks. Here's a link to Snowplow's open source repository on GitHub.