Automate the flow of behavioral data from Adobe Analytics into Databricks for ML and advanced analytics. Stop manually exporting event data, building brittle ETL scripts, or waiting on engineering to sync customer segments and attribution data into your lakehouse.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Continuously sync raw clickstream, conversion events, and custom dimensions from Adobe Analytics into Delta tables. Redbird handles schema evolution as you add new eVars and props, maintaining data quality without manual pipeline updates.
Automatically export high-value customer segments and their complete event histories from Adobe Analytics into Databricks feature stores. Enrich behavioral data with warehouse attributes to power propensity models, churn prediction, and personalization engines.
Push model scores, customer lifetime value predictions, and propensity segments from Databricks back into Adobe Analytics as custom dimensions. Enable marketing teams to build audiences and activate predictions directly in Adobe without engineering handoffs.
Combine Adobe Analytics campaign touchpoints with offline conversions and CRM data in Databricks. Redbird orchestrates the joins across systems and refreshes attribution models on schedule, feeding results back to Adobe for campaign optimization.
Automatically move aged Adobe Analytics event data into Databricks long-term storage while maintaining query access. Reduce Adobe data retention costs while preserving complete behavioral history for compliance and longitudinal analysis.
Run data quality validations on Adobe Analytics feeds using Databricks notebooks. Alert analytics teams when tracking breaks, event volumes spike, or custom dimension mappings change, preventing downstream reporting issues.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Adobe Analytics 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 Adobe Analytics event schemas, custom variables, and data feeds alongside Databricks Delta tables, Unity Catalog structures, and notebook workflows.
Redbird automatically maps Adobe Analytics eVars, props, and custom events to Delta Lake schemas without manual field mapping. The platform recognizes Adobe's unique visitor IDs, timestamps, and hierarchical product data, then handles type conversions and nested structures in Databricks. When you add new tracking dimensions or restructure Unity Catalog namespaces, Redbird adapts pipelines automatically while preserving data lineage and quality checks.
faster than building custom data feeds and Spark jobs for Adobe Analytics integration
Redbird can pull from Adobe Analytics 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 Adobe Analytics 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 Adobe Analytics into Databricks, or from Databricks back into Adobe Analytics. 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 Adobe Analytics data feed update or Databricks job completion, then execute actions across both platforms.
Fires when Adobe Analytics generates a new hourly or daily data feed file ready for processing.
Triggers when visitor counts in a defined Adobe Analytics segment cross thresholds or change significantly.
Detects when specific custom events spike, drop, or stop firing compared to baseline patterns.
Pulls complete clickstream history for all visitors in an Adobe Analytics segment.
Extracts multi-touch attribution data for specific campaigns, channels, or conversion windows.
Writes enriched dimensions back to Adobe Analytics classifications for reporting and segmentation.
Fires when specific Delta Lake tables receive new writes or updates from upstream pipelines.
Triggers when a scheduled MLflow model training run finishes and registers a new model version.
Detects when a scheduled Databricks notebook or workflow encounters errors or data quality issues.
Stores ML model scores and predictions in Unity Catalog feature tables for downstream activation.
Executes a Databricks notebook to validate schema, completeness, and accuracy of incoming behavioral data.
Merges external data sources with Adobe Analytics events using Databricks Delta merge operations.
Start automating Adobe Analytics pipelines into Databricks today. Redbird handles the complexity of behavioral data syncs, ML feature engineering, and bi-directional workflows so your team can focus on insights instead of infrastructure.