Sync operational database data with product analytics automatically. Stop exporting user tables manually, writing custom ETL scripts to merge backend data with events, or maintaining fragile integration code between your Azure SQL workloads and PostHog tracking.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push customer attributes, account metadata, and subscription details from your Azure SQL operational database into PostHog as user properties. Enrich product analytics with CRM data, billing status, and custom fields without manual CSV uploads or API scripting.
Capture raw product events, session data, and feature flag evaluations from PostHog and write them to Azure SQL tables for compliance, data warehousing, or cross-platform analysis. Maintain complete event history beyond PostHog retention limits with automated archival workflows.
Monitor Azure SQL tables for specific conditions—like subscription tier changes, payment failures, or account status updates—and automatically enable or disable PostHog feature flags for affected users. Control product access and UX based on real-time operational data.
Pull A/B test outcomes, conversion metrics, and cohort analysis data from PostHog experiments and write them to Azure SQL tables. Enable cross-functional teams to query product test results alongside sales, marketing, and operational data in your central database.
Cross-reference PostHog behavioral cohorts with Azure SQL customer records to identify at-risk accounts. Automatically update CRM status fields, trigger retention workflows, or flag accounts for outreach when product usage patterns indicate churn risk.
Join Azure SQL subscription data with PostHog event volumes, feature adoption rates, and user paths to create comprehensive product-market fit reports. Automate multi-source analytics without building custom data pipelines or maintaining dbt models.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure SQL 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 Azure SQL table schemas and PostHog's event model natively, so you can connect operational databases with product analytics without transformation scripts.
Redbird maps Azure SQL tables, columns, and relationships to PostHog person properties, event schemas, and group analytics automatically. The AI understands foreign keys, data types, and naming conventions in your SQL database, then matches them to PostHog's distinct_id, event properties, and feature flag structures. No need to manually specify field mappings or write transformation logic—Redbird infers how customer_id in Azure SQL corresponds to user identifiers in PostHog and handles type conversions, null handling, and nested properties intelligently.
faster than building Azure Functions or custom Python ETL to sync Azure SQL with PostHog
Redbird can pull from Azure SQL 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 Azure SQL 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 Azure SQL into PostHog, or from PostHog back into Azure SQL. 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 workflows from any database change in Azure SQL or product event in PostHog—no coding required.
Trigger when a new record is added to any Azure SQL table, such as new customers, orders, or subscriptions.
Fire when existing records are modified and meet specific criteria, like account status changes or payment updates.
Run SQL queries on a schedule and trigger workflows when result sets change or thresholds are crossed.
Write new rows to Azure SQL tables with mapped fields from PostHog events or other workflow data.
Modify Azure SQL rows based on workflow conditions, updating customer attributes or operational flags.
Call Azure SQL stored procedures with dynamic parameters from PostHog data or workflow context.
Trigger when PostHog captures specific product events like signups, feature usage, or conversion actions.
Fire when a user matches cohort criteria based on behavioral patterns, retention, or engagement thresholds.
Start workflows when users are enrolled in A/B tests or feature flag experiments in PostHog.
Update PostHog person profiles with attributes from Azure SQL like subscription tier, account metadata, or CRM fields.
Enable or disable PostHog feature flags for specific users or groups based on Azure SQL data conditions.
Capture backend events in PostHog from Azure SQL triggers, enriching product analytics with server-side data.
Start syncing Azure SQL with PostHog in minutes. No custom ETL pipelines, no Azure Functions to maintain—just intelligent automation that understands both systems.