Connect Heap and
Redshift with AI

Automatically sync behavioral event data from Heap into Redshift for deep analysis. Stop building custom ETL pipelines, writing transformation scripts, or manually exporting user interaction datasets. Redbird keeps your warehouse in sync with every click, tap, and conversion event.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Sync all Heap auto-captured events to Redshift tables in real-time

Automatically stream user interaction events from Heap into structured Redshift tables as they're captured. Redbird maps event properties to warehouse columns, handles schema evolution, and deduplicates records. Your analytics team gets fresh behavioral data without waiting for batch exports.

Load conversion funnel data into Redshift for cross-platform attribution analysis

Pull completed conversion events and funnel metrics from Heap into Redshift to join with marketing spend, CRM data, and revenue tables. Redbird structures multi-step funnel data for SQL analysis, enabling attribution modeling that spans your entire data stack.

Archive historical user session data from Heap to Redshift for compliance

Automatically move older session replay metadata and interaction logs from Heap into long-term Redshift storage. Redbird handles incremental loads, partitioning by date, and maintains queryable access to years of behavioral history for audit and compliance needs.

Enrich Heap events with customer segments calculated in Redshift

Query Redshift for computed customer segments, lifetime value scores, or churn predictions, then push those attributes back into Heap as user properties. Redbird schedules the enrichment, handles bulk updates, and keeps behavioral analysis aligned with your warehouse truth.

Generate weekly product engagement reports from Heap data in Redshift

Automatically query aggregated Heap event tables in Redshift to produce feature adoption, engagement trend, and cohort retention reports. Redbird runs SQL analysis on schedule, formats results, and delivers insights to stakeholders without manual warehouse work.

Alert product teams when Redshift analysis detects behavioral anomalies in Heap data

Monitor aggregated Heap event volumes and conversion rates stored in Redshift for sudden drops or spikes. When Redbird's analysis identifies anomalies—like a 30% decrease in button clicks—it triggers alerts with context, enabling rapid product investigation.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize Heap and Redshift with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands Heap's auto-captured event schemas and Redshift's columnar storage architecture, so your behavioral data flows into the warehouse ready for analysis.

AI that maps event properties to warehouse tables automatically

Redbird reads Heap's dynamic event property schemas—including nested objects and custom attributes—and intelligently maps them to optimized Redshift table structures. It handles schema drift when new event properties appear, suggests distribution and sort keys for query performance, and creates dimension tables for categorical properties. Your team gets clean, queryable behavioral data without writing transformation logic or maintaining brittle ETL scripts.

Auto-capture event mapping
Schema evolution handling
Distribution key optimization
User property denormalization
10×

faster than building custom Heap-to-Redshift ETL pipelines

No Python scripts, Airflow DAGs, or manual table maintenance required

Auto-generated reports

Redbird can pull from Heap and Redshift simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Heap or Redshift.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from Heap into Redshift, or from Redshift back into Heap. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start workflows from any Heap event capture or Redshift query result, and automate actions across both systems.

Heap
Triggers & Actions
Trigger

New event type auto-captured

Triggers when Heap begins tracking a new user interaction not previously seen in your schema.

Trigger

Conversion funnel completed

Triggers when a user completes a defined multi-step conversion path in Heap.

Trigger

User segment threshold reached

Triggers when a behavioral segment in Heap crosses a specified size or engagement threshold.

Action

Create or update user properties

Add computed attributes or warehouse-derived values to user profiles in Heap for segmentation.

Action

Tag events with metadata

Append custom labels or classifications to specific Heap events based on external data.

Action

Export event dataset

Generate a filtered export of Heap events matching specific criteria for ad-hoc analysis.

Redshift
Triggers & Actions
Trigger

Query result exceeds threshold

Triggers when a scheduled Redshift query returns a value above or below defined boundaries.

Trigger

New data loaded into table

Triggers when fresh rows are inserted into a specified Redshift table or partition.

Trigger

Schema change detected

Triggers when columns are added, removed, or modified in tracked Redshift tables.

Action

Execute parameterized query

Run a SQL query in Redshift with dynamic parameters from upstream workflow data.

Action

Insert rows into table

Bulk load structured records into a Redshift table with automatic type mapping.

Action

Create or refresh materialized view

Update a pre-aggregated view in Redshift to reflect the latest underlying data.

Heap
+
Redshift

Ready to connect your stack?

Sync Heap behavioral data into Redshift automatically and turn raw interaction events into warehouse-ready analytics tables. Redbird handles the pipeline so your team can focus on insights.

Get started → Book a demo