How is iDBQuery used by SaaS companies?
SaaS companies use iDBQuery to chat with their product, billing, CRM, and support data in plain language and get cited answers in seconds. It joins Postgres, MongoDB, billing APIs, and spreadsheets into one live model — so MRR, churn, and usage questions are answered instantly without bothering an engineer.
SaaS metrics live across a product database, a billing platform, a CRM, support tooling, and analytics exports — and answering "why did net revenue dip last month?" usually means pulling an engineer off their roadmap. iDBQuery federates those sources into one live queryable model so anyone on the team can just ask.
What SaaS teams use it for:
- Revenue metrics — MRR, ARR, expansion, contraction, and net revenue retention on demand.
- Churn and retention — cohort behaviour and at-risk signals, traced to the accounts behind them.
- Product and growth — join usage data to billing and CRM to see what drives conversion.
- Investigation — the Analyst agent runs down a metric movement on its own and cites its evidence.
Every answer is a cited answer, so a board metric or investor number traces back to the exact rows it came from — no spreadsheet archaeology. iDBQuery connects Postgres, MongoDB, MySQL, billing and CRM via REST API, and spreadsheets, and queries them in place with no warehouse or pipeline to build.
The semantic layer learns your event names and plan codes so questions resolve correctly, and a live dashboard from any question lets the whole team self-serve instead of queuing requests with data and engineering.
Updated 2026-06-22