Testing
Mixpanel powers product analytics for funnels, retention, and segmentation. Testing Mixpanel integrations requires mocking the SDK, validating event schemas against your Lexicon, testing people property updates, and isolating test environments so CI events don't corrupt your production data. This guide covers all of this with practical Jest examples
Testing
PostHog combines product analytics, feature flags, session recording, and A/B testing in one platform. Testing PostHog integrations requires more than mocking — you need to test feature flag evaluation, verify event tracking, and ensure session recording is properly configured without capturing sensitive data. This guide covers all three layers with
Testing
Amplitude tracking bugs are silent — the app works, but your growth metrics are wrong. Funnel drop-offs appear where users actually convert. Revenue numbers are off. This guide covers how to unit test Amplitude SDK tracking with Jest mocks, validate event schemas against your taxonomy, test funnel event sequences, and
Testing
Broken analytics tracking is one of the hardest bugs to detect — the app works fine, but your data pipeline silently receives malformed events or nothing at all. This guide covers testing Segment analytics.js event tracking: mocking the Segment library, validating event schemas in unit tests, verifying event delivery in
ClickHouse
ClickHouse is the analytics database of choice for teams that need sub-second queries over billions of rows. Its columnar storage, vectorized execution, and MergeTree engine deliver extraordinary performance—but they also introduce testing challenges unique to columnar OLAP systems. This guide covers how to test ClickHouse applications effectively. ClickHouse