Automate the flow of behavioral data between Heap's auto-captured event streams and BigQuery's analytics engine. Stop manually exporting user interaction data, writing custom ETL scripts, or waiting on engineers to sync product analytics with your data warehouse.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push all auto-captured user interactions from Heap into BigQuery tables as they're recorded. Redbird maps Heap's event schemas to your warehouse structure, handling property transformations and maintaining historical event archives without custom pipelines.
Pull subscription tiers, account metadata, and customer attributes from BigQuery into Heap user profiles. Segment behavioral data by plan type, region, or any warehouse dimension without duplicating data across systems.
Join Heap's session and funnel data with revenue, usage, and support records stored in BigQuery. Generate comprehensive product analytics reports that connect user behavior to business outcomes on a schedule.
Run cohort or trend analyses in BigQuery on Heap event data and trigger notifications when retention, engagement, or conversion metrics fall outside expected ranges. Automatically surface insights from combined warehouse and behavioral data.
Continuously stream older Heap event data into BigQuery for cost-effective long-term retention. Keep full behavioral history queryable in your warehouse while managing Heap's active data volume and costs.
Push churn scores, propensity models, or LTV predictions from BigQuery ML into Heap as user properties. Enable retroactive analysis of predicted segments and track how high-risk users actually behaved through your product.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery 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 Heap's auto-captured event structure and BigQuery's nested schema model, so you can connect behavioral data to your warehouse without schema mapping nightmares.
Redbird automatically interprets Heap's event properties, user identities, and session structures, then maps them to BigQuery's nested and repeated field formats. It handles data type conversions between Heap's JSON properties and BigQuery's strongly-typed columns, manages partitioning strategies for time-series event data, and maintains referential integrity across user, session, and event tables. No manual schema mapping or custom transformation logic required.
faster than building custom Heap-to-BigQuery ETL pipelines
Redbird can pull from BigQuery 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 BigQuery 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 BigQuery into Heap, or from Heap 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 Heap event capture, and take action across both systems instantly.
Trigger when a scheduled BigQuery query identifies new records matching your criteria.
Start workflows when specific BigQuery tables grow or shrink beyond defined thresholds.
Activate automations immediately after your regular BigQuery analytics jobs finish running.
Write new records directly into BigQuery tables from any data source.
Execute BigQuery SQL with dynamic parameters pulled from workflow context.
Programmatically manage BigQuery views based on changes in connected systems.
Start automations whenever Heap auto-captures a specific user interaction or event type.
Trigger workflows when users qualify for behavioral segments based on their interaction patterns.
Activate processes when users complete defined multi-step funnels in your product.
Enrich Heap user profiles with custom attributes from external systems or analyses.
Programmatically define new Heap segments based on criteria from your warehouse or other tools.
Apply new event definitions to historical Heap data for analysis without redeployment.
Stop building custom pipelines to sync Heap's behavioral data with BigQuery. Let Redbird automate the connection so your team can focus on analysis, not data plumbing.