Your AI data engineer

Your AI data engineer

Your AI
data engineer

Build, deploy, and run data pipelines

through an intuitive interface in minutes.

Run at any scale instantly with Mage Pro.

Build, deploy, and run data pipelines through an intuitive interface in minutes. Run at any scale instantly with Mage Pro.

Build, deploy, and run data pipelines through an intuitive interface in minutes. Run at any scale instantly with Mage Pro.

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

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.

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

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. Heres your pipeline.

Intelligent data engineering

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.

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.

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.

Learn more

Running

In

Out

Running

In

Out

Retriever.py

1

2

3

4

5

6

7

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

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.

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.

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.

Learn more

Batch

Integration

Streaming

RAG

Spark

ML

Batch

Integration

Streaming

RAG

Spark

ML

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

PY

Source data from anywhere

Aggregate

R

Refine and enhance

modularly and nondestructively

Daily Analytics

PY

Deliver exactly when and

where it is needed

Sensor

PY

Detect and react to data changes

You

Thomas

Sarah

Available in two spellbinding versions

Available in two
spellbinding versions

For teams. Fully managed platform for integrating and transforming data.

For teams. Fully managed platform for integrating and transforming data.

For teams. Fully managed platform for integrating and transforming data.

OSS

Self hosted. System to build, run, and manage data pipelines.

Self hosted. System to build, run, and manage data pipelines.

Self hosted. System to build, run, and manage data pipelines.

© 2025 Mage Technologies, Inc.

© 2025 Mage Technologies, Inc.

© 2025 Mage Technologies, Inc.