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. Here’s 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
40
Template
8
Workflow
100
File
6
Pipeline
40
Team
Import
Build reusable pipelines in half the time
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.
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.
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.
Learn more
Deploy
Live
main
b83bf2 Optimized pipeline
Deploy
main
4h34xt Added dynamic blocks
Your DevOps command center
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.
Launch environments, collaborate in team workspaces, and deploy continuously with zero friction. Keep your pipelines organized and production-ready without the DevOps complexity.
Launch environments, collaborate in team workspaces, and deploy continuously with zero friction. Keep your pipelines organized and production-ready without the DevOps complexity.
Learn more
Architecture
Your personal data infrastructure team
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.
Scale from terabytes to thousands of concurrent tasks automatically. Mage’s intelligent architecture handles your most complex workloads without the operational overhead.
Scale from terabytes to thousands of concurrent tasks automatically. Mage’s intelligent architecture handles your most complex workloads without the operational overhead.
Learn more
Engineering
Design
Marketing
Builder
EDITOR
VIEWER
-
Comments
EDITOR
EDITOR
-
Triggers
ADMIN
-
VIEWER
Monitoring
EDITOR
VIEWER
-
Dashboard
VIEWER
VIEWER
VIEWER
Alerts
EDITOR
-
-
Architectural playground for data teams
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.
Customize Mage AI to your exact operational DNA through surgical-grade extensibility features — 100+ API endpoints, application behavioral hooks, and granular security permissions.
Customize Mage AI to your exact operational DNA through surgical-grade extensibility features — 100+ API endpoints, application behavioral hooks, and granular security permissions.
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
Start building.
Start building.
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.
© 2025 Mage Technologies, Inc.
© 2025 Mage Technologies, Inc.
© 2025 Mage Technologies, Inc.