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Product · Data Engineering

Visual ETL.
Asynchronous by
default.

Drag-and-drop DAG builder for modern data pipelines. Real-time preview, 25+ nodes, built-in charts, no code.

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25+
Nodes
100%
Async
<50ms
Preview latency
SOC 2
Ready
Features

Why ET1.

Hover any tile — the pitch flips around. Six ways ET1 beats cron + Python.

Asynchronous by default

Streaming DAG execution

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Asynchronous by default

Every node runs async. Slow API calls don't block the whole pipeline — the rest of your DAG keeps moving while that request is in flight.

Visual node editor

Drag, drop, connect

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Visual node editor

Build pipelines with wires, not code. Inputs, transforms, filters, joins, outputs — all composable on an infinite canvas.

Connect anything

CSV · JSON · Postgres · APIs

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Connect anything

Native inputs for the data you already have. CSV, JSON, Neon, PostgreSQL, REST APIs, and Git-hosted files. More coming every month.

Real-time preview

See data as you build

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Real-time preview

Every node shows a live preview of its output. No waiting for batch jobs. Tweak a filter, watch the result update in place.

Built-in charts

No BI tool required

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Built-in charts

The Charts node renders bar, line, scatter, and heatmap visualizations from any upstream output. Ship dashboards from the same canvas.

Secure by design

Auth0 · RBAC · audit logs

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Secure by design

Role-based access, row-level permissions, and full audit logging. Built for teams handling regulated data from day one.

Node library

25+ nodes. Zero boilerplate.

Every node is pre-built, tested, and streams asynchronously. Connect them with wires. That's the whole job.

Input
7 nodes
  • CSV Input
  • JSON Input
  • GitHub CSV
  • Neon Database
  • PostgreSQL
  • REST API
  • Manual Table
Transform
6 nodes
  • Filter (Measure & Dimension)
  • Group By / Aggregation
  • Joiner (Inner · Left · Right)
  • Concat / Union
  • Split
  • Pivot / Unpivot
Utility
7 nodes
  • Column Renamer
  • Find & Replace
  • Trim & Normalize
  • Math Operations
  • Constant Values
  • Duplicate Columns
  • Unique Filter
Output
5 nodes
  • Neon Output
  • Charts
  • Data Preview
  • Export CSV
  • Webhook Notify
Use cases

Who runs ET1?

Data engineers, analysts, and anyone tired of babysitting cron.

Replace fragile scripts

Retire your cron + Python duct tape

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Replace fragile scripts

Teams use ET1 to migrate dozens of one-off ETL scripts into a single canvas where every pipeline is visible, testable, and observable.

Analyst self-service

No more "can you pull this for me?"

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Analyst self-service

Analysts build their own data prep pipelines without waiting on a data engineer. Engineers review the canvas, not a PR.

Rapid prototyping

From raw data to chart in 10 min

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Rapid prototyping

Exploration that used to need a Jupyter notebook now happens in a canvas. Share a URL instead of a .ipynb file.

Get started

Stop writing boilerplate ETL.

Request a demo. We'll walk you through a real pipeline on your data in 30 minutes.

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