Sync Amplitude product analytics data to dbt and automate data transformation pipelines without writing custom ETL scripts. Redbird AI understands Amplitude's event schemas and dbt's model structure — so your analytics engineers can build tested, documented metrics layers on product behavior data automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract cohort membership and user segments from Amplitude and load them into staging models in dbt. Redbird maintains schema alignment and handles incremental updates, so your behavioral segments stay fresh in your warehouse without manual exports.
Generate dbt source definitions and staging models that mirror your Amplitude event schema and property taxonomy. Redbird documents the lineage from raw product events to analytics-ready tables, keeping your metrics layer synchronized with product instrumentation changes.
Pull retention cohort data from Amplitude and pipe it into dbt transformation workflows that calculate standardized retention metrics. Your analytics team gets version-controlled, tested retention models without rebuilding calculations manually in SQL.
Monitor dbt test results on models built from Amplitude event data and trigger notifications when data quality issues appear. Redbird surfaces which Amplitude events or properties caused test failures, so teams can fix instrumentation gaps quickly.
Push aggregated user-level metrics from dbt back into Amplitude as custom user properties. Turn warehouse calculations like LTV, engagement scores, or custom retention windows into targetable cohorts for product experimentation.
Automatically reconcile row counts, event volumes, and property coverage between Amplitude source data and your dbt staging models. Redbird flags discrepancies and schema drift so analytics engineers catch pipeline issues before they affect dashboards.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amplitude and dbt 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 reads Amplitude's event taxonomy, user properties, and cohort definitions alongside dbt's model schemas, tests, and documentation — understanding how product analytics flows into your transformation layer.
Redbird interprets Amplitude's event structures, user properties, and behavioral cohorts — then maps them to dbt source definitions, staging models, and metric layers. It recognizes when Amplitude event properties change and suggests corresponding dbt model updates. The AI understands dbt's testing framework and can validate that Amplitude source data meets your quality standards before transformation runs.
faster than building custom Amplitude-to-warehouse ETL and maintaining dbt sources manually
Redbird can pull from Amplitude and dbt 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 dbt.
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 dbt, or from dbt 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 product event in Amplitude or transformation run in dbt — Redbird connects the full analytics stack.
Fires when a behavioral cohort is saved in Amplitude, ready to sync membership data.
Triggers when users enter or exit an Amplitude cohort based on behavioral criteria.
Detects when new properties are added to tracked events or property definitions are modified.
Extract user IDs and membership timestamps for a specified Amplitude cohort.
Pull retention cohort metrics for specified date ranges and user segments from Amplitude.
Write custom properties back to Amplitude user profiles from calculated warehouse metrics.
Fires when a dbt model finishes executing, whether successful or failed.
Triggers when dbt tests fail on source data or transformation output quality checks.
Detects when dbt source freshness thresholds are exceeded on Amplitude data loads.
Execute targeted dbt models or model subsets based on upstream Amplitude data changes.
Create or update dbt source YAML files based on current Amplitude event schemas.
Run SQL queries against dbt models to extract calculated metrics for downstream systems.
Stop maintaining custom scripts to sync Amplitude cohorts and rebuilding dbt sources when event schemas change. Let Redbird AI automate your product analytics transformation pipeline.