PRODUCTDATA WAREHOUSE

The data warehouse iGaming actually needs.

A cloud-native lakehouse built for the scale of modern sportsbook and casino operations. Billions of bets, sessions, deposits and compliance events in one place, with consistent definitions and the granularity that analytics, AI and machine learning actually need.

Book a demo See the architecture

live ingestion · event stream

raw · unaggregated

EVENTS / SEC1,387

INGEST P9938 ms

EVENTS TODAY96,412,733

THROUGHPUT · EVENTS / SECLIVE

WHY IT MATTERS

The foundation everything else sits on

In iGaming, your data foundation defines how fast the business can move. Most operators are slowed down by foundations that were never designed for the volume, speed or operational reality of modern betting and gaming.

FIG. 00 · BEFORE / AFTER

BEFORE · FRAGMENTED

PROD DBEXPORTSBI TOOL

CRMTRADINGEXEC

Siloed databases, incomplete exports

BI tools never meant for iGaming scale

KPIs that change depending on who ran the query

AFTER · GAMBLITUDE

PROD DBEXPORTSSTREAMS

ONE GOVERNED DATA MODEL

CRMTRADINGEXEC

One trusted data model, live ingestion

A governed schema shared by every department

The same numbers, everywhere, every time

ARCHITECTURE

From raw events to decisions, in one pipeline

A lakehouse keeps raw events intact and processes them continuously. Nothing is flattened into fixed aggregates on arrival, so the answers coming out stay reliable.

FIG. 01 · PLATFORM SCHEMATIC

AI & PRESENTATION

METRIC ENGINE

LAKEHOUSE STORAGE

DATA INGESTION

DEDICATED ENVIRONMENT · GOOGLE CLOUD · ISO 27001

◀◀

▶▶

04 · PRESENTATION & AI

Dashboards

Self-serve analytics

AI Agent

Insight Radar

Predictive models

Alerts

▲▲▲

03 · METRIC ENGINE one shared semantic layer

▲▲▲

02 · LAKEHOUSE CORERAW · EVENT-LEVEL · REAL-TIME

Raw event retention

Governed iGaming schema

Consistent KPI definitions

Continuous processing

▲ STREAMING PIPELINE

01 · DATA INGESTION

CONNECTORS

APIs

Kafka & brokers

Cloud streams

File uploads

EVENT TYPES

bets

sessions

deposits

campaigns

compliance

ANY SOURCE, ANY METHODBILLIONS OF EVENTS / DAY

19:04:11 → 19:04:13

In iGaming, two seconds between bets can tell a real story. Because every event is kept intact, you can analyse behaviour down to the individual bet, build real-time risk models, track RTP deviation as it happens, and backtest promotions against actual event history, not flattened aggregates.

KEY CAPABILITIES

Built for the reality of betting and gaming

05 MODULES · ONE INTEGRATION

Multiple ingestion methods

APIs, secure file uploads, Kafka or cloud event streams: whichever fits your current stack.

Event-level retention

Raw, unaggregated data kept for deep analysis, forecasting and historical backtesting.

Real-time readiness

Pipelines built to move fast across every area of the operation, not just a few priority domains.

Compliance-ready structure

Timestamp accuracy, audit trails and full event visibility make regulatory reporting a matter of hours, not weeks.

Designed for iGaming

Bets, markets, sessions, deposits, bonuses, affiliate traffic and risk events follow a clean, predictable model.

One integration unlocks the full analytics, AI and ML stack at once.

Book a demo

AI-NATIVE BY DESIGN

Built for AI and machine learning from day one

Most data warehouses can query data well enough. Fewer can feed AI and ML with the depth, granularity and freshness they need, and that gap is where AI-on-top-of-BI projects quietly stall. This data warehouse was designed specifically to power the layers above it.

If AI is going to become the operating layer of iGaming, the data warehouse decides whether that actually works.

FIG. 02 · POWERED LAYERS

AI Agent

Reasoning and explanations grounded in governed data

Insight Radar

Early detection of anomalies, drops and spikes

ML models

Churn, VIP identification, risk scoring, behavioural prediction

Real-time KPI monitoring

Alerts on live data, not yesterday's batch

Lists & Attributes

Dynamic segmentation that responds to behaviour in motion

SECURE BY DESIGN

Security shaped the architecture, not the roadmap

iGaming data is among the most sensitive material a business can hold: financial transactions, player identity, compliance records. Protecting it is a core engineering principle, not an afterthought.

ISO/IEC 27001 certified

Full ISMS: controls, audits and ongoing discipline

FIG. 03 · SECURITY PERIMETER

ISO/IEC 27001 · ISMS PERIMETER

FULL AUDIT TRAILS · EVERY ACCESS

GRANULAR RBAC · DATASET-LEVEL

CORE

Your data

Dedicated environment on Google Cloud, never shared tenancy.

NEVER LEAVES GOVERNANCE

OUT OF THE BOX

What you get from day one

A single governed data warehouse for your entire operation

A shared data model used across every department

One integration that unlocks the full analytics, AI and ML stack

Faster answers, cleaner pipelines for BI and product teams

A foundation that grows with automation and whatever AI comes next

NO INFRASTRUCTURE TO MAINTAIN.
IT'S ALL PART OF THE SERVICE

FAQ

Common questions

Something else on your mind? Talk to us.

01How long does implementation take?

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First data is typically flowing within days. A full governed model goes live in a few weeks, depending on your sources, and that one integration unlocks the entire analytics, AI and ML stack at once.

02Where is our data hosted?

In your own dedicated environment on Google Cloud, never shared tenancy. Data is ingested once and never leaves your governed environment: no syncing, no external transfers.

03Can we migrate from an existing data warehouse or BI stack?

Yes. Ingestion supports APIs, secure file uploads, Kafka and cloud event streams, and historical backfill preserves event-level granularity, so past data stays as useful as new data.

04How fresh is the data?

Streaming pipelines process events continuously across every area of the operation. Dashboards, alerts and models work on near-real-time data, not nightly batches.

05How does it support compliance?

The platform runs under an ISO/IEC 27001 information security management system. Timestamp accuracy, full audit trails and event-level visibility make regulatory reporting a matter of hours, with granular RBAC controlling who sees what.

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