“1. PostHog – best overall balance of flexibility, portability, and functionality.”
“best overall balance of flexibility, portability, and functionality.”
“Autocapture helps you start collecting behavioral data without instrumenting every interaction manually.”
“Funnels, retention, trends, and user journeys are available in one interface.”
“Scheduled batch exports send captured events, persons, and sessions to destinations such as BigQuery, Snowflake, and S3.”
“It also offers an open-source self-hosting option.”
“One important caveat: PostHog's cloud product is not warehouse-native.”
“Self-hosting gives you more control but creates operational work.”
“2. Mixpanel – best for straightforward, self-service product analytics.”
“Very approachable funnel and retention analysis.”
“Strong event segmentation and user behavior exploration.”
“Autocapture and event taxonomy management.”
“APIs for exporting event data.”
“Data Pipelines can send events and user profiles to cloud storage for downstream analysis.”
“The catch: Data Pipelines is an add-on, so check its availability and cost before committing.”
“Don't confuse Mixpanel's reporting API with a complete raw-data export.”
“3. Amplitude – best for deeper behavioral analysis as your product grows.”
“Powerful behavioral cohorts, funnels, and retention analysis.”
“Event Export API for retrieving raw event data.”
“Integrations with Snowflake, BigQuery, Redshift, and Databricks.”
“Can combine product analytics with experimentation.”
“Some warehouse integrations are plan-dependent or paid add-ons.”
“For example, Snowflake Data Share is an add-on and has EU-region limitations.”
“4. Google Analytics 4 – best if you mainly need web analytics and want a free BigQuery export.”
“Native raw-event export to BigQuery is a significant advantage.”
“You own the exported data.”
“Standard properties have a daily export limit of one million events.”
“However, GA4 is less pleasant for some product-specific questions, particularly sophisticated in-app user journeys and retention analysis.”
“Statsig: Offers warehouse-native analytics on BigQuery, Snowflake, Redshift, and Databricks.”
“Offers warehouse-native analytics on BigQuery, Snowflake, Redshift, and Databricks.”
“However, warehouse-native deployment is an Enterprise feature, making it less attractive for a small startup budget.”
“I'd avoid introducing Segment, RudderStack, dbt, or a complex data stack at the beginning unless you have a concrete need for them.”
“I'd avoid introducing Segment, RudderStack, dbt, or a complex data stack at the beginning unless you have a concrete need for them.”
“I'd avoid introducing Segment, RudderStack, dbt, or a complex data stack at the beginning unless you have a concrete need for them.”
“Mitzu: Designed to analyze behavioral events directly in your data warehouse.”
“Designed to analyze behavioral events directly in your data warehouse.”