We're huge fans of Snowplow Analytics, and we've been working with the team on releasing an integration over the last few months that makes it easier to define, instrument, and verify your analytics on Snowplow's self-hosted data collection platform.
If you're new to Iteratively, we help teams collaborate to ship high-quality analytics faster without the bugs. We provide a visual schema registry for folks to define their events & properties and include a dev toolkit that simplifies instrumentation and QA. We integrate into CI/CD to fail that build if we detect any issues with your analytics before they hit production. Our goal is to make analytics less of an afterthought and instead treated like a P1 feature.
If you're new to Snowplow Analytics, they are an enterprise-grade event data collection platform that allows you to capture high-quality, real-time event data, delivered by a cloud-native data pipeline that you fully control.
They are ideal for companies who want to manage the collection and warehousing of data across all their platforms and channels. They are used by teams like Strava, Weebly, AutoTrader, etc. and 600,000 other websites and mobile apps.
At a high-level, the integration works as follows:
Watch a quick demo of how the Iteratively + Snowplow Analytics works below:
We're constantly adding more analytics integrations. As always, we’d love to hear your feedback and any ideas that would improve how you use Iteratively. You can send us feedback in-product or by getting in touch with us at [email protected].