Every Supper integration is built and maintained by us. No third-party connectors. No surprise breaks. When something changes upstream — a schema update, an API bump, a new field — we handle it. Not you.
Supper connects through a dedicated read-only account and queries your warehouse directly. Your data stays in your warehouse — we don't move, copy, or stage it anywhere. Every answer reflects what's true right now.
If you're running dbt, Supper reads your semantic models and enriches the schema automatically — so the work your data team has already done flows straight into Supper's semantic model.
Supported warehouses & databases
For SaaS tools, Supper acts as a data warehouse — authenticating directly, pulling on demand or on a nightly schedule. We build a detailed schema model for every tool: table descriptions, column definitions, fill rates, types. The accuracy layer uses it to write correct queries every time, without guessing what opportunity_stage_cd actually means.
Find accounts at risk, what win rate looks like by segment, or which rep is trending down before the quarter ends.
Revenue recognition, expense tracking, headcount cost — queryable alongside operational data.
What's on track, what's slipping, where your team's time is actually going — answered directly from your tracker.
Analyze campaigns, track lead sources, compare spend and impressions across user demographics.
MRR, churn, expansion, and refunds calculated from real payment records — not approximations.
Sort through the haystack of user activity events to find the needles that explain customer health.
Most analytics platforms route SaaS data through third-party connector services. When Salesforce updates an API, or HubSpot adds an object, or Stripe renames a field — someone else decides when your integration gets fixed. Usually not immediately (and sometimes not at all).
Supper's engineering team owns every integration end-to-end. When something changes upstream, we catch it, fix it, and your data keeps flowing. No support ticket. No waiting.
No dependency on third-party connector platforms. No shared infrastructure that breaks for everyone at once.
A detailed schema model per tool — column descriptions, types, fill rates, relationships. This is what makes the accuracy layer work.
API changes, deprecations, schema updates: caught and resolved before they reach you. New fields appear in Supper automatically.
Supper exposes a full MCP server — so any assistant that speaks the protocol (Claude, Claude Code, ChatGPT, Copilot, custom agents) can query your data, call your semantic model, and surface verified answers inside your existing workflow.