3.2B rows in Postgres
Data too big to move
Billions of rows live in Postgres. Questions often turn into exports that are stale before anyone reads them.
Ask in plain words. Queryance turns your question into SQL, verifies the plan, and runs it inside Postgres.
Analysts become the interface to the database. Questions turn into tickets, exports, dashboards, and waiting.
3.2B rows in Postgres
Billions of rows live in Postgres. Questions often turn into exports that are stale before anyone reads them.
“When will we get the churn number?”
Analysts become the interface to Postgres. Domain experts wait days while requests pile up in the queue.
Dashboards cover last quarter. A new Postgres question often means a ticket, a backlog, and days of waiting.
14 copies and counting
Many exports copy sensitive Postgres rows to another laptop. Audits get harder with every copy.
Same questions. A shorter path from question to cited result in Postgres.
Traditional
The question waits in a queue, then moves through copies before the result lands.
Queryance
The plan compiles to SQL and runs inside Postgres. The cited result returns with tables and row counts.
access
Point Queryance at your Postgres with read-only credentials. It inherits your roles. Nothing runs yet.
plan
Type the question in plain words. Queryance plans the query, drafts the SQL and shows the plan for you to confirm.
proof
The query runs inside your Postgres. Each cited result ships with SQL, tables, and row counts for audit.
“Which onboarding step predicts activation for teams added last quarter?”
Plan shown before the query runs. Confirm, then push down.
“What changed in support volume by plan tier after the February release?”
“Why did net revenue churn rise in March among mid market accounts?”
Read-only connections. Your Postgres roles apply unchanged. Every result ships with its SQL and sources.
Queries run inside your Postgres. Filters and aggregates push down. Only the result returns.
Permissions follow your Postgres roles. Each result logs user, tables, and time for review.
Each result lists SQL, tables, and row counts. Open the plan to confirm coverage.
mcp-native
MCP support from day one. Your agents query through narrow, read-only tools. They never hold direct read or write access to your database.
Compute stays inside your Postgres: the question goes to the data, and only the result returns. Join the waitlist and we will notify you at launch.
Join the waitlist with a work email. There is no beta access.