Find a supplier-operated data foundation for casino and sportsbook analysis. Compare the work included in the service, the records your team can retrieve and the responsibilities that remain with your operation.
Editorial review: 10 Oct 2026. Product evidence is checked separately below.
What this selection answers
A managed iGaming data warehouse combines an analytical data store with a supplier's responsibility for operating it. It can be sold separately or explicitly included in a wider BI package; dashboards, cloud hosting or SQL access alone do not establish that service. Confirm the sources, maintenance duties and access terms for the actual product you are buying.
What qualifies
The product has current evidence of a supplier-operated analytical warehouse, with hosting and operational responsibility described.
A wider platform qualifies when its own offer explicitly includes the managed warehouse; a related product from the same supplier is insufficient.
The evidence supports managed delivery for the named product. The proposal must still identify the sources, workload and continuing service covered.
What to confirm
Managed delivery does not automatically include unrestricted SQL, a data export API, every historical record or a particular retention period.
A warehouse does not automatically provide shared metric governance, AI investigations or predictive models. Check each additional capability and its package separately.
An absent product is not proof that the supplier cannot provide this service. This list requires current product-specific evidence, rather than a generic analytics claim.
All requirements must be documented
2 documented matches
These matches represent 1 supplier. Products are listed alphabetically. Each one has current published evidence for every requirement in this selection. Evidence describes the supplier’s offer; it does not establish contract terms, performance or availability in your market. This is not a complete market inventory or a quality ranking.
Start with the operating boundary. A BI interface helps people explore data; the warehouse service must also explain who runs the analytical environment behind it. Ask for a diagram separating source systems, ingestion, storage, transformations and the tools above them. Mark which components the supplier operates and which remain in your cloud or another provider's contract.
Deployment language needs care. DigerAnalytics describes deployment in the customer's infrastructure and connections for existing BI tools. Those statements establish a different boundary from an explicit managed-service inclusion; they do not resolve who performs every operating task. Conversely, Gamblitude's pricing expressly includes a managed warehouse with its BI subscription. Compare the named offer and responsibility schedule, rather than inferring delivery from the category label.
Bring an inventory of source owners, access methods and known data gaps. Agree who maintains connectors, detects failed loads, handles schema changes and validates corrections. The supplier may operate the foundation while your team still approves source access, explains unusual transactions and decides whether a business definition is correct. Name the owner of each handoff, including a feed that stops outside the supplier's control.
Separate implementation from continuing service and future changes. Request scope for historical imports, new brands, extra sources, support, recovery and exit delivery. Compare equivalent workloads and retained internal effort. A managed subscription does not establish a launch date, response time or saving for your operation; those need a scoped proposal and appropriate acceptance evidence.
Ask for the detail behind one monthly total: individual bets or rounds, payments, timestamps, identifiers and relevant status changes. Specify the available backfill, retention and correction behaviour. Event-level storage and customer access are separate questions. Demonstrate the proposed investigation and export route using a bounded sample, then confirm permissions and what can be retrieved when the service ends.
Storage alone also cannot settle a disagreement about NGR. Document deductions, eligible activity, currency, reporting period and late adjustments. If a metric layer is included, trace a named definition into the proposed BI or AI output. Keep legitimate finance and marketing variants explicit. Supplier material can describe shared definitions, but your team must validate their configured meaning against the source records.
Select the requirements you want to save with your shortlisted products. Existing notes are kept, and exact duplicates are skipped.
Sources and scope
Official supplier material provides the context for this guide. Product-specific evidence is attached to each match above. Supplier statements are not independent performance or compliance audits.
The BI subscription explicitly includes a managed warehouse; setup and predictive models have separate scope. No published price is used as a quote for a buyer.
Distinguishes infrastructure and continuing service from source access, business definitions, validation and operational decisions retained by the operator.
Describes shared Metrics and Attributes, connected activity history, CSV exports and agreed API connections; no unrestricted SQL or export API is inferred.
Describes deployment in customer infrastructure, granular historical records and JDBC/ODBC connections. These facts do not establish a supplier-operated warehouse service.