Redbird AI syncs behavioral event data between dbt and Heap automatically. Stop manually writing SQL to model Heap events, or copying schemas between your analytics platform and warehouse transformations.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new auto-captured events appear in Heap, Redbird generates corresponding dbt staging models with proper column types and documentation. Your analytics engineers always have transformation models that match current product instrumentation without manual schema checks.
Push deduplicated, business-logic-enriched user behavior tables from dbt back into Heap as custom segments. Marketing and product teams work with clean, standardized behavioral cohorts instead of raw event data.
When dbt data quality tests detect anomalies in Heap event volumes or schema changes, Redbird notifies the analytics team with context about which product flows are affected. Catch instrumentation issues before they corrupt dashboards.
Join raw Heap interaction data with account tier, ARR, and lifecycle stage from your dbt customer dimension models. Product teams analyze user behavior segmented by business-critical attributes without writing SQL.
Redbird pulls event names, property descriptions, and usage context from Heap to auto-populate your dbt model documentation. Your data catalog stays synchronized with product analytics definitions without duplicate manual documentation.
When product teams finalize conversion funnels in Heap, Redbird translates them into dbt metrics with proper SQL logic. Standard conversion definitions propagate across all BI tools without copy-paste errors.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt and Heap 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 understands both dbt's transformation layer structure and Heap's auto-captured behavioral schema, so your product analytics pipeline stays synchronized without constant manual intervention.
Redbird maps Heap's automatically captured events and properties to your dbt staging, intermediate, and mart layers. It understands when Heap schema changes require model updates, when dbt transformations should flow back as Heap segments, and how to join behavioral event streams with dimension tables. The AI recognizes patterns like sessionization logic, user stitching, and funnel definitions across both systems.
faster behavioral data modeling vs manually syncing schemas
Redbird can pull from dbt and Heap 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 dbt or Heap.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from dbt into Heap, or from Heap back into dbt. 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 dbt model runs or Heap event changes, and update either system based on what happens in the other.
Trigger when any specified dbt model finishes running successfully in your warehouse.
Trigger when data quality tests fail on models containing Heap behavioral data.
Trigger when analytics engineers add or modify metric definitions in dbt project files.
Create new staging layer SQL models with appropriate column types and documentation.
Modify schema YAML files with updated descriptions, tags, and metadata fields.
Insert data quality tests for uniqueness, nulls, or referential integrity on specified columns.
Trigger when Heap begins tracking a previously unseen user interaction or page view.
Trigger when existing Heap events gain new properties or property types change.
Trigger when product teams define a new multi-step funnel in Heap's analysis interface.
Build behavioral cohorts in Heap based on transformed data from your warehouse.
Modify event names, descriptions, or tagging to match standardized naming conventions.
Push enriched attributes from dbt dimension tables back to Heap user profiles.
Stop manually syncing schemas between Heap and dbt. Redbird keeps your behavioral data models and product analytics in sync automatically.