Warehouse - Overview

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:

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.


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Got Questions?

Get in touch with a Fullstory rep, ask the community or check out our developer documentation.