Connect PostHog to Redshift
Send PostHog projects, cohorts, feature flags and 4 more data types to Redshift on a schedule. Filter by date. Refresh as often as every 15 minutes.
posthog
projectscohortsfeature_flagspersonsevents- 2 more data types
How to connect PostHog and Redshift
4 steps. You can preview the PostHog data in Coupler.io before anything reaches Redshift.
Step 1 of 4
Connect PostHog
Enter your PostHog API key and domain. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the PostHog data you want in Redshift.
Step 3 of 4
Connect Redshift
Enter your Redshift connection details, then the schema and table for the PostHog data.
Show 3 more fields Show fewer fields
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in Redshift. Run it as often as every 15 minutes.
Each run drops and recreates projects with fresh PostHog data.
Coupler.io made it easy to create dashboards and reports from different data sources. The sync is reliable and the user experience is amazing.
Take your data analytics to the next level
Sign Up with Google
Sign Up with MICROSOFT
SIGN UP WITH EMAIL
By signing up to Coupler.io, you agree to our Privacy Policy and Terms of Use.
Build your PostHog integrations with these destinations
Get the most of PostHog to Redshift integration
Gather data
Understand data
Automate data
Act on data
7 data types, including Projects, Cohorts, Feature flags, Persons and Events.
With your PostHog API key and domain, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Yes, if the database user has CREATE privileges. Coupler.io creates the posthog schema and the projects table on the first run.
With Replace, Coupler.io recreates projects, so new PostHog columns appear automatically. With Append, the table keeps its schema, so add the column yourself or switch to Replace.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example GoHighLevel or Google Ads, and join or append them before the data reaches Redshift.