Automate the flow of product analytics data between Amplitude and your Redshift warehouse. Stop manually exporting events, rebuilding cohorts, or writing custom ETL scripts to keep your data warehouse in sync with user behavior.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync raw event data from Amplitude to Redshift tables as events occur. Maintain complete historical records of user interactions, session data, and event properties without manual exports or S3 intermediaries.
Push Amplitude cohorts and user segments to Redshift tables whenever they're updated. Combine product analytics segments with CRM data, transaction history, and support tickets for unified customer intelligence.
Flow customer attributes from Redshift back into Amplitude user properties. Overlay subscription tier, lifetime value, support tier, or account metadata onto product analytics for richer behavioral segmentation.
Automatically run Redshift analytics queries when A/B tests reach statistical significance. Generate deep-dive conversion funnel analysis, revenue attribution, and customer segment breakdowns without waiting for manual reporting cycles.
Continuously back up all Amplitude event data to Redshift with full property fidelity. Meet data retention policies, support audit requirements, and maintain analytics continuity beyond Amplitude's data retention windows.
Monitor Amplitude-to-Redshift data flows for volume drops, schema mismatches, or property changes. Surface data quality issues immediately when event counts diverge from expected patterns or key properties stop flowing.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amplitude and Redshift 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 both Amplitude's event taxonomy and Redshift's columnar storage model to intelligently map behavioral data to optimized warehouse schemas.
Redbird automatically maps Amplitude's event properties, user properties, and group properties to Redshift table schemas. It handles nested JSON from Amplitude's event arrays, manages data type conversions for timestamp precision, and optimizes distribution and sort keys based on your query patterns. When Amplitude schema changes occur—new event properties, changed data types, or added cohort fields—Redbird adapts Redshift tables without breaking downstream pipelines.
faster than building custom Amplitude-to-Redshift ETL pipelines
Redbird can pull from Amplitude and Redshift 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 Amplitude or Redshift.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Amplitude into Redshift, or from Redshift back into Amplitude. 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 Amplitude event or Redshift table change, and take action across your entire data stack.
Trigger when specific events are logged in Amplitude with matching property filters.
Trigger when users enter or exit behavioral cohorts or segments.
Trigger when A/B test reaches significance or experiment status changes.
Write custom properties to Amplitude user profiles from external data sources.
Programmatically add user IDs to existing Amplitude behavioral cohorts.
Track server-side events to Amplitude with full property and context data.
Trigger when new records appear in specified Redshift tables or views.
Trigger when a scheduled Redshift query returns results matching specific conditions.
Trigger when columns are added, modified, or dropped in tracked tables.
Write new records or update existing rows in Redshift tables based on merge keys.
Run parameterized SQL queries for transformations, aggregations, or data cleanup.
Dynamically create temporary or staging tables for batch data loading workflows.
Stop maintaining custom scripts to sync Amplitude and Redshift. Let Redbird AI handle the event streaming, schema mapping, and data quality monitoring so your team can focus on analysis.