Redbird AI syncs your BigQuery data warehouse with PostHog product analytics automatically. Stop manually exporting SQL results to CSV, uploading user properties, or writing custom ETL scripts to keep your analytics stack in sync.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync CRM data, subscription tiers, lifetime value, and transaction history from BigQuery into PostHog user properties. Segment product usage by customer attributes without manual CSV uploads or API scripts.
Define user segments with complex SQL logic in BigQuery—combining data from multiple sources—and sync them as PostHog cohorts. Keep cohorts updated as your warehouse data changes without rebuilding filters manually.
Stream product events, session data, and feature flag exposures from PostHog into BigQuery tables. Join behavioral data with business metrics and run ML models on the complete dataset in your warehouse.
Automatically capture session recording IDs, timestamps, user identifiers, and playback metadata into BigQuery. Maintain long-term audit trails and compliance records beyond PostHog retention limits.
Run scheduled BigQuery ML anomaly detection queries on PostHog event volumes, feature adoption rates, or conversion metrics. Trigger PostHog feature flags or send alerts when statistical outliers are detected.
Export experiment variants, exposure counts, conversion metrics, and statistical significance data from PostHog experiments into BigQuery. Combine product test results with revenue data and build executive dashboards.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and PostHog with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird AI natively understands BigQuery schemas and PostHog's event structure, so you can connect warehouse tables to user properties, cohorts, and events without writing transformation logic.
Redbird maps BigQuery table schemas to PostHog person properties, identifies your user ID columns across both systems, and handles PostHog's event payload structure automatically. Whether you're syncing partitioned tables, nested JSON fields, or running ARRAY aggregations in BigQuery, Redbird translates your warehouse data into PostHog-compatible formats. The AI detects schema changes, suggests property mappings, and handles type conversions between BigQuery's data types and PostHog's analytics model.
Faster than building custom BigQuery-to-PostHog ETL pipelines
Redbird can pull from BigQuery and PostHog simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either BigQuery or PostHog.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into PostHog, or from PostHog back into BigQuery. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any BigQuery query result or PostHog event, then take action across your entire stack.
Trigger workflows when a BigQuery scheduled query finishes running, with access to result row counts and execution metadata.
Detect when new records appear in specified BigQuery tables, filtered by partition date or custom WHERE conditions.
Fire when a SQL aggregation—sum, count, average, or custom metric—exceeds or falls below defined thresholds.
Write new records to BigQuery tables with automatic schema mapping and partitioning support.
Execute SQL queries with dynamic parameters from workflow context, capturing results for downstream steps.
Merge or update BigQuery table rows based on SQL query output with configurable key matching.
Trigger when users perform specific events in PostHog with property filters, like high-value actions or error events.
Fire workflows when a user qualifies for a PostHog cohort based on behavioral or demographic criteria.
Detect when feature flags are enabled, disabled, or rolled out to new user percentages.
Set custom properties on PostHog user profiles with data from BigQuery or other systems.
Programmatically assign users to PostHog cohorts based on external data or computed segments.
Send server-side events to PostHog with properties and timestamps from warehouse operations or business logic.
Start syncing BigQuery and PostHog in minutes. Redbird handles schema mapping, incremental updates, and data transformations so your product analytics stay enriched with warehouse insights.