Redbird AI syncs FullStory session data into Databricks and enriches behavioral insights with ML predictions — automatically. Stop manually exporting user interaction data, writing custom ETL scripts, or waiting on engineers to connect digital experience metrics to your data lakehouse.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture every click, scroll, and rage click event from FullStory and land it in your Databricks lakehouse. Redbird maintains schema evolution as FullStory adds new event properties, eliminating pipeline breaks.
Join FullStory session IDs with customer profiles, product usage, and churn scores stored in Databricks Feature Store. Push enriched context back to FullStory so product teams see LTV, segment, and propensity scores alongside every session recording.
Merge FullStory interaction patterns with purchase history, support tickets, and product data in Databricks. Redbird automatically prepares training datasets, handling session de-duplication and event aggregation across both systems.
Run batch inference jobs in Databricks to score user sessions for UX friction risk. Automatically update FullStory custom properties and segments so designers can filter session replays by predicted abandonment likelihood.
Redbird watches for FullStory rage click events on users flagged as enterprise or high-LTV in Databricks. Trigger instant notifications with session replay links when key accounts experience frustration in checkout or onboarding flows.
Automatically export FullStory session metadata and aggregated behavioral metrics to Databricks Unity Catalog tables. Maintain long-term UX analytics history beyond FullStory's retention window while enforcing governance policies on PII.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks and FullStory 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 both Databricks' lakehouse architecture and FullStory's event schema — no custom connectors or API wrappers required.
Redbird automatically maps FullStory's event taxonomy (PageView, Click, FormAbandonment) to Databricks table structures, handling nested JSON payloads and evolving schemas. It recognizes Unity Catalog namespaces, Feature Store key-value lookups, and Delta table merge operations. When syncing predictions back to FullStory, Redbird respects custom event property limits and user identifier mappings without manual configuration.
faster than building custom FullStory-to-Databricks ETL pipelines
Redbird can pull from Databricks and FullStory 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 Databricks or FullStory.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Databricks into FullStory, or from FullStory back into Databricks. 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 from any Databricks job completion or FullStory behavioral event — Redbird handles the rest.
Trigger when a Databricks notebook finishes training a new user behavior prediction model.
Watch for new rows or updated values in a Feature Store table with customer attributes.
Detect when a batch inference job writes prediction scores to a Delta Lake table.
Append FullStory behavioral events to a Delta Lake table with automatic schema merging.
Upsert enriched session metrics into a Databricks Feature Store table for real-time lookup.
Run a SQL statement to aggregate session data across governed tables in Unity Catalog.
Trigger when a user exhibits rage clicking behavior indicating UX frustration.
Watch for sessions where dead clicks, form errors, or scroll thrashing exceed defined limits.
Detect when a user in a specific FullStory segment begins a new session on your site.
Write predicted churn score, LTV tier, or other Databricks-computed values to FullStory user profiles.
Build dynamic FullStory segments based on ML predictions or feature flags from Databricks.
Apply custom tags to FullStory sessions using enrichment data from Databricks customer tables.
Stop writing brittle ETL code to sync FullStory and Databricks. Let Redbird handle the data flow so your team can focus on building better user experiences with ML-powered insights.