Automate the flow of product analytics data into your lakehouse. Redbird AI syncs Amplitude event streams, user cohorts, and experiment results directly to Databricks — no manual exports, no brittle scripts, no ETL backlog.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync product event streams from Amplitude into Databricks Delta Lake tables. Redbird maintains schema evolution, handles nested event properties, and keeps your feature store fresh with the latest behavioral data for training and inference.
Push retention cohorts, power user segments, and churn risk groups from Amplitude directly into Databricks. Data science teams can join behavioral segments with transactional data to build predictive models without waiting on data engineering.
Archive A/B test metrics, variant assignments, and statistical significance data from Amplitude experiments to Databricks. Maintain a complete audit trail of product decisions and power longitudinal analysis of experiment impact over time.
Send propensity scores, churn predictions, and recommendation outputs from Databricks models back to Amplitude as user properties. Product teams can analyze feature engagement by predicted LTV segment or personalize experiences based on real-time ML inference.
Automatically kick off Databricks workflows when product teams define new behavioral segments in Amplitude. Keep downstream dashboards, ML models, and activation campaigns in sync with the latest targeting logic without manual coordination.
Monitor feature distributions and behavioral signals in Databricks, then surface anomalies and drift metrics back to Amplitude for product investigation. Data science and product teams stay aligned on data quality and shifting user patterns.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amplitude and Databricks 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 Amplitude's event taxonomy and user properties alongside Databricks' Delta table schemas, Unity Catalog namespaces, and Spark data types — so your integrations just work.
Redbird automatically maps Amplitude event properties to Databricks column types, handling nested JSON arrays, flattening user property objects, and preserving event timestamps in the right formats. The AI understands Delta Lake merge semantics for incremental updates, recognizes when to partition by event date versus user ID, and maintains referential integrity between event tables and user profile dimensions. No manual schema mapping or transformation logic required.
faster than building custom Amplitude export pipelines with Airflow and Spark jobs
Redbird can pull from Amplitude and Databricks 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 Databricks.
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 Databricks, or from Databricks 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 event in Amplitude or any job completion in Databricks — Redbird handles the orchestration.
Fires when a product team defines a new behavioral segment or retention cohort in Amplitude.
Triggers when an A/B test achieves statistical significance for primary or secondary metrics.
Activates when event counts deviate from expected baseline for critical product actions.
Send raw or aggregated event data to external systems with custom field mapping.
Write computed attributes, model scores, or enrichment data back to user profiles.
Programmatically define audience segments based on event criteria or external data sources.
Fires when new data lands in a specified Delta Lake table via streaming or batch write.
Triggers when a scheduled Databricks job finishes successfully or fails with errors.
Activates when MLflow registers a new model version or training run completes.
Run parameterized queries against Delta tables and return results for downstream processing.
Kick off ETL pipelines, model training runs, or notebook executions with dynamic parameters.
Insert, upsert, or append records to Delta Lake with automatic schema evolution handling.
Stop wrestling with Amplitude export scripts and Databricks ingestion jobs. Redbird AI keeps your product analytics and data lakehouse in sync automatically — so your teams can focus on insights, not infrastructure.