Sync Databricks with PostHog to enrich product analytics with ML predictions, automate feature impact analysis, and route behavioral data into your lakehouse — no more manual CSV exports or fragile pipeline scripts. Redbird AI handles the data mapping, transformation, and orchestration between your analytics platform and data intelligence stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically append propensity scores, churn predictions, and user segments from your Databricks models directly to PostHog user profiles. Surface ML insights in session recordings and funnels without building custom APIs. Keep product teams working in PostHog while leveraging production models.
Continuously sync product events, session data, and feature flag exposures from PostHog into Databricks Delta tables. Build training datasets that combine behavioral signals with customer data warehouse attributes. Maintain historical event archives for model retraining and compliance.
Automatically kick off model retraining pipelines or ETL jobs when A/B tests in PostHog conclude with winning variants. Update production feature stores and recommendation engines based on validated product changes. Close the loop between experimentation and ML deployment.
Pull conversion funnels, retention cohorts, and session replay counts from PostHog alongside revenue forecasts, churn models, and customer segmentation from Databricks. Build unified executive dashboards that blend product analytics with predictive insights. Schedule weekly reports that auto-update with fresh data from both platforms.
Monitor PostHog event ingestion patterns and trigger Databricks notebook investigations when anomalies occur. Automatically run diagnostic queries across your lakehouse to identify upstream data issues. Notify engineering teams with context-rich alerts that include affected user segments and potential revenue impact.
Push high-value customer lists, churn risk segments, and persona classifications from Databricks directly into PostHog as cohorts. Enable product managers to run feature flags and experiments targeting ML-defined audiences. Update cohorts automatically as model predictions refresh, keeping targeting criteria current.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks 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 understands both PostHog's event schema and Databricks Delta table structures — mapping product analytics dimensions to lakehouse data models without custom code.
Redbird automatically maps PostHog event properties, person profiles, and cohort definitions to Databricks Delta tables, feature stores, and ML model outputs. It understands PostHog's distinct_id resolution across sessions, how to join behavioral events with Unity Catalog tables, and how to maintain schema evolution as both systems change. The AI handles timestamp conversions, nested JSON structures, and incremental sync patterns specific to event streaming and batch processing.
faster than building custom Spark jobs to sync PostHog events with Databricks
Redbird can pull from Databricks 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 Databricks 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 Databricks into PostHog, or from PostHog back into Databricks. 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 automation workflows from any event in Databricks or PostHog — new model runs, experiment results, table updates, or behavioral milestones.
Fires when specified Delta Lake tables receive new rows or schema changes in your lakehouse.
Triggers when scheduled workflows, notebook runs, or model training jobs finish execution.
Detects when feature table entries update with new model predictions or computed attributes.
Appends or upserts records into specified Delta Lake tables with automatic schema handling.
Executes parameterized notebooks for ad-hoc analysis or processing triggered by external events.
Writes new feature values to online or offline feature tables for ML model consumption.
Fires when A/B tests or feature flag experiments in PostHog reach significance or end dates.
Triggers when specific event types exceed or fall below configured volume thresholds.
Detects when users match cohort criteria based on behavioral patterns or property changes.
Defines behavioral cohorts in PostHog using external segment lists or ML model outputs.
Enriches PostHog user profiles with attributes from data warehouse or ML predictions.
Programmatically enables or disables feature flags based on external data conditions or thresholds.
Start syncing Databricks with PostHog in minutes. Redbird AI handles the schema mapping, data transformation, and ongoing maintenance — so your team can focus on insights, not integration code.