Connect PostHog and
Redshift with AI

Automate the flow of product analytics and event data between PostHog and your Redshift data warehouse. Stop manually exporting event tables, writing custom ETL scripts, or maintaining fragile data pipelines to keep your analytics warehouse in sync.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Stream PostHog event data to Redshift tables in real-time

Automatically sync product events, user properties, and session data from PostHog into Redshift as they're captured. Keep your data warehouse current without batch exports or custom ingestion pipelines. Redbird maps PostHog event schemas to optimized Redshift tables with the right sort and distribution keys.

Archive feature flag and experiment results to Redshift for historical analysis

Capture feature flag states, A/B test variants, and experiment outcomes from PostHog and store them in Redshift alongside conversion data. Build a complete record of product decisions and their impact. Query experiment history across releases to understand what drove long-term retention.

Enrich PostHog events with customer and account data from Redshift

Pull customer segment, account tier, and revenue data from Redshift to enrich PostHog events and user profiles. Connect product behavior with business context without duplicating data across systems. Enable product teams to filter analytics by MRR band or customer cohort directly in PostHog.

Build unified retention cohorts combining PostHog and transactional data

Merge PostHog session and feature usage events with purchase history, support tickets, and billing data from Redshift. Create retention analyses that factor in revenue, product engagement, and support interactions. Surface insights about which product behaviors correlate with long-term customer value.

Alert teams when PostHog funnel metrics deviate from Redshift baselines

Monitor conversion rates, activation metrics, and retention cohorts in PostHog against historical trends stored in Redshift. Automatically notify teams when key product metrics fall outside expected ranges. Catch regressions early by comparing live PostHog data to warehouse-backed forecasts.

Sync Redshift user segments back to PostHog for targeted feature flags

Push customer segments, behavioral cohorts, and risk scores calculated in Redshift into PostHog as user properties. Enable product teams to target feature flags and experiments based on sophisticated data warehouse logic. Roll out features to high-value customers identified through cross-system analysis.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize PostHog and Redshift with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands PostHog's event schemas, user properties, and session structures alongside Redshift's columnar storage, distribution strategies, and AWS data ecosystem.

AI that speaks both PostHog events and Redshift tables

Redbird's AI interprets PostHog's event JSON structures, distinct_id mappings, and property hierarchies while understanding Redshift's DISTKEY, SORTKEY, and columnar compression strategies. It automatically handles PostHog's nested event properties and timestamps, translating them into optimized Redshift schemas with appropriate data types and encoding. The AI knows when to denormalize PostHog arrays for analytics performance and when to preserve nested structures for flexible querying. It manages incremental loads, deduplication logic, and timezone conversions without custom code.

PostHog event schemas to Redshift tables
User property mappings and type inference
Incremental sync with deduplication
Optimized distribution and sort keys
10×

faster than building custom ETL from PostHog to Redshift

No Lambda functions, Airflow DAGs, or manual schema migrations

Auto-generated reports

Redbird can pull from PostHog and Redshift simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either PostHog or Redshift.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from PostHog into Redshift, or from Redshift back into PostHog. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from any PostHog event capture or Redshift query result, and take action across both systems instantly.

PostHog
Triggers & Actions
Trigger

New event captured

Trigger when PostHog records a specific event type like pageview, button click, or custom product action.

Trigger

User property changed

Trigger when a user property or profile attribute is updated in PostHog.

Trigger

Feature flag toggled

Trigger when a feature flag state changes or a new variant is rolled out.

Action

Update user properties

Write or modify user properties in PostHog based on data from other systems.

Action

Create cohort

Generate a new user cohort in PostHog from segment criteria or external data.

Action

Send custom event

Push a custom event into PostHog's event stream with specific properties and timestamps.

Redshift
Triggers & Actions
Trigger

New rows inserted

Trigger when new records appear in a specific Redshift table or view.

Trigger

Query threshold exceeded

Trigger when a Redshift query result crosses a defined threshold or condition.

Trigger

Scheduled query completes

Trigger when a recurring analytical query finishes running in Redshift.

Action

Insert rows to table

Write new records to a Redshift table with automatic schema mapping and data type conversion.

Action

Run analytical query

Execute a SQL query against Redshift and return results for downstream workflows.

Action

Update existing records

Modify rows in Redshift tables based on matching keys or query conditions.

PostHog
+
Redshift

Ready to connect your stack?

Stop building and maintaining custom ETL between PostHog and Redshift. Let Redbird's AI handle the data flow so your team can focus on product insights, not pipeline maintenance.

Get started → Book a demo