The SQL Endpoint
Point Power BI, Tableau, Excel, SSMS, a linked server, or any ODBC/JDBC tool at your tenant and query everything — entities, views, reports, forms, field answers, and even hydrated contexts — as ordinary SQL tables. No custom driver, no export step, no API glue: the endpoint speaks the real TDS wire protocol, so the tools your analysts already run connect like it's any other database. Typed columns (decimal / date / time / bit), composite primary keys, and an auto-wired relationship graph mean Power BI builds its model on load — tables, keys, and joins arrive pre-connected.
Two ways to serve it
On-prem: the same SPSQLSync agent that syncs your source
SQL Server can also serve your ServiceProof data as a SQL Server on your network
— one self-contained exe, outbound HTTPS for data, a local SQL port for your BI
estate, installed as a Windows service with one command. Cloud: the
platform itself can present your tenant at a public host,port
with a real certificate — full TLS validation, zero trust flags. Either way it is a
window, not a copy: the endpoint reads through the same governed API your
integrations use, every login is scoped to its tenant, read-only by default, and
anything the engine cannot answer faithfully refuses with a clean SQL error rather
than returning wrong rows.
-- SSMS, straight at your tenant:
SELECT TOP 10 * FROM ent.WorkOrder WHERE JobStatus = 'In-Progress';
-- last month's field answers, flat:
SELECT StepName, Value, CompletedLocal FROM ans.StartOfDay;
-- the whole business world around ONE work order, hydrated:
SELECT Level, Field, Value FROM ctx.WorkOrderContext WHERE [Key] = 'WO-5001';
-- time travel:
SELECT * FROM ent.Equipment FOR SYSTEM_TIME AS OF '2026-06-01';
The Resource Center
Under the hood this is one pure engine serving both legs, byte-identically — and it fails closed: a filter, sort, page, or aggregate the endpoint cannot translate is refused with the exact working pattern named in the error, because silently-wrong rows are the one thing a reporting stack can never forgive.