LiveSource-to-destination ELT pipelines you actually own

Connect a source. Shape with SQL. Deliver to tables you own.

MantrixFlow is an ELT data pipeline platform for teams who want readable data movement, clear run visibility, and no per-connector pricing games.

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Sources

PostgreSQL Stripe Shopify HubSpot

Destinations

Postgres table MySQL table SQL Server

How it works

Five phases. Full visibility.

Every run follows the same strict ELT path — preflight, isolated staging, SQL review, upsert delivery, and cleanup with audit metadata. Watch a phase below to see what happens.

run · phase_0

Source connection · postgresql.orders

Destination schema · analytics.revenue_daily

Column contract · 6 of 6 matched

Disk budget · 4.2 GB available

Source → SQL → destination. The flow your team builds in the canvas — validated before any row hits a table you own.

Platform

Built for pipelines your team runs every week.

Connect sources, shape data with SQL, and deliver to tables you own — with preflight checks and run visibility at every step.

Source tables

Dest schema

Column match

Disk budget

Preflight before every run. Source tables, destination schema, column match, and disk budget are validated before a single row is staged.

analytics.revenue_daily

idemailupdated_atamount

Upsert only — no CREATE TABLE

Destination tables you control. MantrixFlow upserts into tables that already exist — no raw dumps and no vendor-defined schemas.

Isolated DuckDB staging. Extract and transform in a run-scoped workspace that is always cleaned up when the run finishes.

SELECT

JOIN

FILTER

SQL models in the browser. Write SELECT, JOIN, and filter logic in a real editor — then review output before delivery.

Run metricsGOOD

Rows read18.4k

Duration42s

Delivered18.3k

Run observability built in. Rows read, duration, and delivery counts surface in every callback — enough context to investigate fast.

stripe → analytics

Completed

hubspot → warehouse

Running

Real-time run monitoring. Follow extract, transform, and deliver phases with status, row counts, and readable errors in the workspace.

Preflight → deliver → cleanup

Five-phase strict ELT. The same path every time: preflight, stage, transform, deliver, and cleanup with full audit metadata.

12 strict invariantsPostgreSQL live todayUpsert-only delivery

Agent mode

Your pipelines. Your agents.

MantrixFlow agents are model-powered pipeline workers tied to your data. They answer questions from allowlisted tables, trigger runs with human review, and respect every ELT invariant — preflight validation, SQL review, upsert delivery, and full audit metadata.

Draft pipelines from plain language
Inspect runs and query delivered data from your IDE
Embed on any website with one script tag
Every action gated through read-only SQL validation

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MantrixFlowApp9:41 AM

✅Pipeline Completed

Stripe charges synced to analytics.revenue_daily

18,420 rows read from stripe.charges. SQL model applied, 18,392 rows delivered via upsert to analytics.revenue_daily. Run closed with full lineage and audit metadata.

production·stripe-to-analytics

3 repliesLast reply 2 min ago

Zero clicks.

Sources, destinations, pipeline configs, run logs, and delivery stats — all available through MCP, so agents build and operate pipelines without you maintaining another dashboard.