About

A clear path for operational data

MantrixFlow brings the full ELT route into one visible workspace, from connection and transformation through delivery and run history.

A pipeline should read like a route

MantrixFlow is a managed ELT workspace built around a simple operating idea: teams should be able to see how data travels from a source into a destination. Connection setup, schema discovery, SQL transformation, destination mapping, validation, execution, and run history live in one product so the path remains understandable before and after rows move.

That visibility matters during ordinary operations. A team can inspect the selected source, review the transformation, choose explicit destination behavior, and validate readiness before starting a run. Afterward, row counts, duration, phase status, and named errors stay together instead of being scattered across scripts, schedulers, and logs.

Control stays explicit

MantrixFlow is designed for teams that want managed pipeline operations without surrendering an understandable delivery model. Destination tables remain visible, Upsert behavior uses selected keys, and workspace permissions are enforced by the server. Product documentation distinguishes current behavior from planned capabilities so operators can make decisions from what is available today.

The current product supports database and SaaS connections, browser-authored SQL transformations, source previews, validation, run monitoring, Slack operations, and GitHub pipeline exports. The AI Copilot remains in development and is not represented as a public agent API, MCP server, or autonomous external control surface.