Automate the pipeline between your workflow orchestration and behavioral analytics. Stop manually exporting Heap event data, writing custom DAGs for analytics syncs, or stitching together interaction data across systems. Redbird AI handles the automation so data teams can focus on insights, not infrastructure.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically trigger Airflow DAGs to extract user behavior data from Heap and load it into Snowflake, BigQuery, or Redshift. Schedule incremental syncs to keep behavioral data fresh without manual exports. Redbird handles schema mapping and ensures event properties flow correctly into your warehouse tables.
When your Airflow data transformation pipeline finishes, automatically trigger Heap to build conversion funnels using the newly enriched user segments. Combine warehouse data with behavioral tracking to analyze how product changes impact user journeys. Get deeper insights by connecting pipeline outputs with interaction data.
Monitor Heap event ingestion rates within your Airflow orchestration workflows. When daily interaction volumes drop significantly or spike unexpectedly, automatically alert engineering teams via Slack or PagerDuty. Catch tracking implementation issues or product incidents before they impact analytics.
Set up automated archival pipelines that move older Heap interaction data to cost-effective long-term storage like S3 or GCS. Redbird orchestrates the extraction, compression, and archival process on your schedule. Maintain compliance and reduce analytics platform costs without losing historical behavioral data.
When your Airflow ETL completes nightly aggregations, automatically push customer attributes back to Heap for segmentation. Combine CRM data, support tickets, and purchase history with behavioral tracking. Build richer user segments in Heap using the full context from your data warehouse.
Automatically query Heap for conversion metrics and user journey data once upstream Airflow tasks complete. Combine product analytics with warehouse calculations in a single automated report. Deliver comprehensive insights that span operational data and behavioral tracking without manual data stitching.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow 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 Airflow's DAG structure and task dependencies alongside Heap's auto-captured event schemas and behavioral data models, so your pipelines and analytics stay in sync.
Redbird maps Airflow task states, XComs, and execution contexts to Heap's event properties, session data, and user identifiers. Our AI understands how to extract interaction events with nested properties, handle Heap's auto-capture schema evolution, and sync behavioral data into your warehouse tables through Airflow's operators. Whether you're scheduling incremental loads or coordinating retroactive analysis, Redbird handles the translation between workflow orchestration and digital analytics platforms.
faster than building custom Airflow operators for Heap API extraction
Redbird can pull from Airflow 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 Airflow 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 Airflow into Heap, or from Heap back into Airflow. 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 Airflow task state or Heap event pattern, then take action across both platforms.
Trigger workflows when any pipeline completes successfully or encounters failures requiring behavioral data context.
Start automations when individual Airflow tasks transition to running, success, failed, or retry states.
Trigger actions when time-based or sensor-triggered DAGs begin execution for coordinated data extraction.
Programmatically start Airflow workflows with custom configuration values from Heap event data.
Push behavioral metrics or Heap identifiers into Airflow's cross-communication system for downstream tasks.
Set Airflow variables based on Heap analytics thresholds to control pipeline execution logic.
Start workflows when interaction event counts cross defined limits indicating anomalies or campaign activity.
Trigger actions when users complete specific behavioral sequences tracked in Heap's funnel analysis.
Initiate pipelines when behavioral segments grow or shrink beyond thresholds requiring data warehouse updates.
Add enriched attributes to Heap user profiles from warehouse data processed through Airflow pipelines.
Send pipeline-generated events into Heap's interaction stream for tracking data processing milestones.
Automatically define new Heap user segments based on behavioral patterns identified in warehouse analysis.
Stop writing custom operators to sync Heap data through Airflow. Redbird AI automates the pipeline between your orchestration platform and behavioral analytics so your data team can focus on building insights, not maintaining integrations.