Redbird AI syncs campaign events, user profiles, and engagement data between Braze and Databricks — no more manual exports, CSV uploads, or brittle ETL scripts. Build closed-loop marketing workflows where ML models power segmentation and campaign results feed analytics pipelines automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync email opens, push sends, in-app interactions, and custom events from Braze to your Databricks lakehouse. Redbird handles schema evolution and deduplication, giving your data science team clean event streams for attribution modeling, customer journey analysis, and retention studies without manual exports.
Push churn risk scores, product affinity predictions, and lifetime value estimates from Databricks models directly into Braze as custom attributes. Marketing teams can segment audiences and personalize messaging using real-time ML features without waiting on engineering to build custom pipelines.
Keep Databricks feature stores updated with current Braze segment assignments, campaign membership, and engagement states. Data scientists can use marketing context as ML features while maintaining a single source of truth for customer attributes across the stack.
Automatically aggregate send volume, conversion rates, and engagement metrics from Braze into Databricks tables powering your BI layer. Redbird joins campaign data with purchase events, support tickets, and product usage to show true ROI without manual reporting work.
Sync behavioral cohorts, lookalike audiences, and dynamically-scored user lists from Databricks streaming jobs into Braze segments. Campaigns stay targeted to the latest ML-identified audiences without batch delays or manual list uploads.
Preserve campaign creative, variant configurations, and test outcomes in your Databricks lakehouse for compliance and historical analysis. Build institutional knowledge of what messaging works across channels, products, and customer segments with queryable archives of every campaign.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Braze 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 Braze's campaign structure, custom event schemas, and user attribute model alongside Databricks table formats, Delta Lake versioning, and streaming job patterns.
Redbird's AI interprets Braze's nested event payloads, Canvas step metadata, and custom attribute types, then maps them to optimized Delta tables in Databricks. It handles incrementality across Currents exports, resolves user ID conflicts between external_id and aliases, and maintains schema history as your Braze data model evolves. When syncing features back to Braze, Redbird validates data types against subscription group rules and custom attribute limits automatically.
Faster than building custom Currents + Databricks ETL pipelines
Redbird can pull from Braze 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 Braze 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 Braze into Databricks, or from Databricks back into Braze. 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 campaign sends in Braze or completed ML jobs in Databricks — Redbird connects every event across both platforms.
Fires when a Braze campaign or Canvas message is sent to users.
Triggers when custom attributes, subscription states, or user tags change in Braze.
Activates when Braze receives a specific custom event like purchase, content_view, or app_opened.
Write or update custom attributes, tags, or email subscription status for Braze user profiles.
Assign user profiles to specific Braze segments or remove them based on upstream conditions.
Send custom events back to Braze to trigger Canvas flows or update user engagement history.
Fires when a scheduled Databricks notebook finishes running, whether for ETL, training, or scoring.
Triggers when new data is written to a specified Delta Lake table or partition.
Activates when a new model version is logged to MLflow model registry in Databricks.
Execute a Databricks notebook with parameters, triggering feature generation or model scoring workflows.
Append or merge records into Delta Lake tables, maintaining schema and handling duplicates automatically.
Run SQL queries against Databricks SQL endpoints and use results in downstream automation steps.
Stop building custom pipelines between Braze and Databricks. Redbird handles the complexity so your team can focus on better campaigns and deeper insights.