Your AI data engineer

Build, deploy, and run data pipelines

through an intuitive interface in minutes.

Run at any scale instantly with Mage Pro.

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Now with Sonnet 3.7 and GPT-4.5 powering your pipelines*

The collaborative data engineering workspace for developers to
code, run, and manage data pipelines that move and transform data.

Move data from Google cloud to our analytics platform.

Remove any duplicate cells you find.

Done. Here’s your pipeline.

Intelligent data engineering

Write production-ready code faster with AI that understands your data. Get instant debugging, best practice recommendations, and automated data engineering tasks - all within your workflow.

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Running

Out

Retriever.py

from dense_retriever import DenseRetriever

class CustomRetriever(DenseRetriever):

def retrieve(self, query, documents):

# Custom retrieval logic

custom_results = super().retrieve(query, documents)

return custom_results

One platform for all data pipelines

Build any pipeline type - batch, streaming, ML, RAG - in our interactive environment. Seamlessly combine Python, SQL, R, and dbt with instant previews at every step.

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Template

Workflow

100

File

Pipeline

Team

Import

Build reusable pipelines in half the time

Mage breaks down complex data engineering tasks into smaller, manageable units called blocks. Each block in a pipeline is a standalone file that can be executed independently.

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Deploy

Live

main

b83bf2 Optimized pipeline

Deploy

main

4h34xt Added dynamic blocks

Your DevOps command center

Launch environments, collaborate in team workspaces, and deploy continuously with zero friction. Keep your pipelines organized and production-ready without the DevOps complexity.

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Architecture

Your personal data infrastructure team

Scale from terabytes to thousands of concurrent tasks automatically. Mage’s intelligent architecture handles your most complex workloads without the operational overhead.

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Engineering

Design

Marketing

Builder

EDITOR

VIEWER

Comments

EDITOR

Triggers

ADMIN

VIEWER

Monitoring

EDITOR

VIEWER

Dashboard

VIEWER

Alerts

EDITOR

Architectural playground for data teams

Customize Mage AI to your exact operational DNA through surgical-grade extensibility features — 100+ API endpoints, application behavioral hooks, and granular security permissions.

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Batch

Integration

Streaming

RAG

Spark

Familiar patterns.
Powerful new framework.

Build. Collaborate. Launch. Analyze. Win.

Filter

SQL

Transform along the way using

Py, R, or Sql

Amazon S3

SQL

Combine multiple sources

at different stages

Google Cloud

Source data from anywhere

Aggregate

Refine and enhance

modularly and nondestructively

Daily Analytics

Deliver exactly when and

where it is needed

Sensor

Detect and react to data changes

You

Thomas

Sarah

Start building.

Mage is free to try and ready when you are. Launch your first pipeline in minutes, migrate effortlessly, and recover your precious developer time.

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Platform

Explore

Pricing

Community

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