Your Hotel Guest Data, Streamed Directly Into Your Own Data Lakehouse.
Break free from closed, siloed reporting. Guest XP continuously replicates your hospitality database into open Apache Iceberg tables via Google Cloud Datastream—ready to query natively in Microsoft Fabric, Snowflake, BigQuery, or Databricks with zero ETL pipelines.
Built on Open Standards & Continuous Replication
From our Guest XP database into Google Cloud Storage as compressed Apache Iceberg tables with zero production strain.
Live CDC via Cloud Datastream
Hooks directly into database transaction logs with logical decoding enabled. Replicates changes continuously without overloading production Guest XP databases with direct connections.
Open Apache Iceberg & Parquet Storage
Publishes tenant-isolated datasets in compressed Parquet with Iceberg metadata. Delivers 3x–5x data compression and enables schema evolution without rigid database constraints.
Tenant Isolation & S3-Compatible HMAC
Dedicated bucket prefixes per customer (gs://bucket/tenants/tenant_id=42/) secured with S3-compatible HMAC credentials and strict GCP IAM condition policies.
From Guest XP DB to Your Lakehouse
Select your enterprise data platform below to see how customer data flows via live CDC into native OneLake Shortcuts, External Iceberg Volumes, BigLake, or Unity Catalog.
Interactive Architecture & Multi-Cloud Lakehouse Explorer
Microsoft Fabric
Direct Lake mode in Power BI with zero data movement
Create a OneLake Shortcut pointing directly at your dedicated GCS tenant folder using provided S3-compatible HMAC credentials.
The Iceberg tables appear natively inside your Fabric Lakehouse. Fabric automatically virtualizes the Iceberg metadata. Your team can query data in place via SQL, explore with notebooks, or connect Power BI in Direct Lake mode for sub-second executive dashboards.
- Sub-second Power BI Direct Lake reports
- Zero egress cost or data duplication into Azure
- Native Azure Active Directory / Entra governance
- Join guest stays directly with corporate Dynamics / ERP
-- Power BI / Fabric Lakehouse SQL
SELECT
g.guest_id,
g.full_name,
COUNT(DISTINCT s.stay_id) AS total_stays,
SUM(f.total_net_amount) AS lifetime_folio_spend,
g.primary_property
FROM lakehouse.guestxp_guests g
LEFT JOIN lakehouse.guestxp_stays s ON g.guest_id = s.guest_id
LEFT JOIN lakehouse.guestxp_folios f ON s.stay_id = f.stay_id
GROUP BY 1, 2, 5
ORDER BY lifetime_folio_spend DESC
LIMIT 5;What You Can Build With Native BigData Access
When your hotel guest records live directly in your enterprise lakehouse, your data science and revenue teams can execute at full velocity.
Direct Lake Power BI & Executive P&L Portals
Connect Microsoft Fabric in Direct Lake mode to query millions of guest transactions with zero caching latency. Blend hotel PMS folios directly into group accounting, payroll, and departmental P&L reports.
Custom AI, Machine Learning & Guest Intelligence
Train proprietary predictive models in Databricks, Vertex AI, or AWS SageMaker on raw guest behavioral vectors, room booking lead times, and spending patterns to predict lifetime value and deliver hyper-personalized VIP stays.
Cross-System Loyalty & ERP Blending
Join VisBook guest folios with external retail POS, golf course tee times, spa treatment tickets, and corporate partner feeds to uncover total guest lifetime value across all business units.
Zero-ETL Maintenance & Schema Resilience
Eliminate brittle CSV exports, broken cron jobs, and costly third-party ETL subscriptions. When new columns or fields are added to Guest XP, Iceberg metadata updates automatically without crashing downstream pipelines.
Enterprise Reliability by Design
Zero-Copy Multi-Cloud Virtualization
Query in place directly from Google Cloud Storage using OneLake Shortcuts in Microsoft Fabric, External Iceberg Volumes in Snowflake, BigLake in BigQuery, or Unity Catalog in Databricks without egress penalties.
Automated Schema Drift Resilience
Datastream and Apache Iceberg automatically track table schema evolution via metadata files. Adding new folio fields or stay attributes never crashes your enterprise analytical models.
Enterprise Multi-Tenant Security & GDPR
Every hotel customer receives an isolated storage prefix with S3-compatible HMAC credentials restricted via strict IAM condition policies. Full auditability and complete compliance with European privacy standards.
Connect your hotel guest data directly to your enterprise lakehouse.
Eliminate brittle CSV exports and custom ETL engineering. Experience direct, sub-second query access to your VisBook guest data inside Microsoft Fabric, Snowflake, BigQuery, or Databricks.