What is 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.
Iteratively is a tool in the Custom Analytics category of a tech stack.

Who uses Iteratively?

Companies

Developers
No developer stacks found

Why developers like Iteratively?

Here’s a list of reasons why companies and developers use Iteratively
Top Reasons
Be the first to leave a pro

Iteratively's 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...)
  • Established best practices for taxonomy and naming convention
  • Quality assurance built in with code linting and runtime analysis
  • Generate automatic & beautiful documentation

Iteratively Alternatives & Comparisons

What are some alternatives to Iteratively?
Keen
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.
Snowplow
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.
Ahoy
Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.
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.
Rakam
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.
See all alternatives
Related Comparisons
No related comparisons found

Iteratively's Stats

- No public GitHub repository available -