Who can use this feature?
- Available with Anywhere: Warehouse, an add-on for Business, Advanced, and Enterprise plans.
- Requires an Admin or Architect role to configure.
With Anywhere: Warehouse, you can send clean, structured, AI-ready behavioral data to your chosen destinations. Sync Fullstory insights to your data warehouse and unlock new approaches to perfecting your digital experience:
- Enrich data models and business intelligence
- Step-by-step guide: Enhanced Anonymous-to-Known User Journey Stitching
- Train LLMs and GenAI
- Optimize user journeys
This article provides a high level overview of Warehouse functionality and the supported data destinations.
How does it work?
Fullstory manages a regular hourly sync process that pushes all captured user events directly into your warehouse. We handle all of the logic around retries and deduplication to ensure that you always have the most accurate data at your fingertips.
Need data faster than hourly? Check out Anywhere: Activation. While Warehouse is comprehensive of all your behavioral data, Activation is designed to provide surgical, specific streams of high-value events or patterns.
Warehouse provides data in two formats:
- Raw Data: normalized event data without transformations.
- Ready to Analyze Views: pre-transformed data ready for analysis.
See below for guidance on choosing between Raw Data and Ready to Analyze Views.
Supported data destinations
| Destination | Format | Setup Guide | Developer Docs | Data Model |
|---|---|---|---|---|
| Amazon Redshift | Ready to Analyze Views | Setup Guide | Developer Docs | Data Model |
| Amazon S3 | Raw Data | Setup Guide | Developer Docs | Data Model |
| Azure Blob Storage | Raw Data | Setup Guide | Developer Docs | Data Model |
| BigQuery | Ready to Analyze Views | Setup Guide | Developer Docs | Data Model |
| Google Cloud Storage | Raw Data | Setup Guide | Developer Docs | Data Model |
| Snowflake | Ready to Analyze Views | Setup Guide | Developer Docs | Data Model |
Comparing Raw Data and Ready to Analyze Views
Not sure which data format you should choose? This table breaks down the differences.
| Raw Data | Ready to Analyze Views | |
|---|---|---|
| Data Model | Single raw file format for events plus defined objects | Organized into 30+ Fact, Dimension, and Sub-dimension tables |
| Query Cost | More expensive to query | Less expensive to query due to pre-transformation |
| Readability | Less readable, requires more transformation | More readable with neat folders of core event and user data |
| Data Duplication | Possibility of duplicate events (see note) | Built-in de-duplication |
| Transformation Required | Extensive transformation needed by data engineers | Pre-transformed tables ready for analysis |
| Use Case Focus | Raw data access | Business intelligence and analytics |
Getting started with Warehouse
Proceed to Warehouse - Getting Started to get started and for more information.