Services / Data Warehouse

The data warehouse iGaming actually needs.

A purpose-built iGaming data warehouse — designed for billions of bets, sessions, deposits, campaigns and player events. Runs on your infrastructure, governed by your team, owned by you outright.

Billions
of events processed daily
Sub-second
OLAP query performance
100% owned
code, pipelines, dashboards — yours

Why the foundation matters

Most iGaming companies reach analytics maturity in layers — reporting bolted onto production databases, BI tools connected to exports, aggregates replacing event-level detail to keep queries fast. The result is familiar: slow reporting, inconsistent numbers, KPIs that change depending on who ran the query and when. A purpose-built iGaming data warehouse replaces all of that with one trusted data model, properly structured for the event types and operational rhythms of your business.

Why iGaming needs its own data model

Generic data warehouse templates were not designed around bets, markets, sessions, bonuses, RTP variance, cohort retention or affiliate traffic quality. When you force iGaming data into a generic schema, you end up with workarounds everywhere — calculated fields that drift between departments, aggregations that lose the event-level detail machine learning needs, audit trails that do not satisfy regulators. We build schemas that reflect how your business actually works.

  • Bets, markets, settlements, voids and cashouts modelled correctly from day one
  • Casino sessions, game events, RTP and volatility tracked at the individual spin level
  • Affiliate traffic, FTD attribution and commission structures built into the schema
  • Bonus issuance, consumption and abuse signals retained at event level

Sample schema — iGaming event tables

bet_events
  • bet_id · UUID
  • player_id · FK
  • market_id · FK
  • stake · DECIMAL
  • odds · DECIMAL
  • outcome · ENUM
  • settled_at · TS
casino_sessions
  • session_id · UUID
  • player_id · FK
  • game_id · FK
  • rtp_actual · FLOAT
  • wagered · DECIMAL
  • duration_s · INT
  • ended_at · TS
player_bonus_events
  • bonus_id · UUID
  • player_id · FK
  • campaign_id · FK
  • type · ENUM
  • amount · DECIMAL
  • consumed_at · TS
  • abuse_flag · BOOL

Your infrastructure. Your choice.

Unlike SaaS analytics vendors, we do not require your data to live on our servers. We deliver the data warehouse onto the infrastructure that works for your operation.

On-premises

Deployed on your own hardware, inside your data centre or network perimeter. Your player data never leaves your controlled environment. The preferred option for operators in markets with strict data residency requirements or those who cannot share data with third-party providers.

Private cloud

Deployed in a dedicated cloud environment under your own account (AWS, Azure, GCP). You retain full control over the infrastructure, access permissions and data residency region. We handle the architecture and deployment.

Hybrid

Some operators run a combination — live operational data on-premises with analytical workloads in a private cloud environment. We design and deliver hybrid architectures where the use case justifies it.

Key capabilities

Multiple ingestion methods

Connect through APIs, secure file transfers, message brokers like Kafka, database replication or cloud event streams. Whichever fits your current stack and platform setup.

Event-level retention

Raw, unaggregated data kept for deep historical analysis, ML model training, regulatory backtesting and forensic investigation. We never force aggregation that destroys the detail you will eventually need.

Real-time and batch ingestion

Pipelines built for both streaming real-time events and scheduled batch loads, with data quality checks and monitoring at every stage.

Data quality & traceability

Full audit trails, timestamp accuracy, data lineage from source to dashboard and retention policies built into the schema. Ad-hoc investigative queries become routine extracts.

Built for AI and machine learning

A data warehouse is only as useful as what you can build on top of it. We design the schema and the access layer with ML and AI use cases in mind from the start — clean event-level data, stable feature tables and the historical depth that makes predictive models reliable rather than superficially impressive.

What you get

  • A fully functioning iGaming data warehouse, designed and delivered to spec
  • Running on your own infrastructure — no external data sharing
  • Complete documentation and knowledge transfer to your team
  • Ongoing support available as a retainer if you need it

Get started

Build the foundation once. Own it permanently.

Tell us about your operation and what you are trying to solve. We will scope it and give you a straight answer.

Talk to Us