Dagster vs Iteratively: What are the differences?

What is Dagster? An orchestration platform for the development, production, and observation of data assets. It is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.

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.

Dagster and Iteratively can be primarily classified as "Analytics Integrator" tools.

Some of the features offered by Dagster are:

• Manage your data assets with code
• A single pane of glass for your data platform
• From pull request to production. Effortlessly

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

• 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...)