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Syntasa Platform Documentation

Welcome to the Syntasa Platform documentation. Syntasa is a comprehensive data engineering and analytics platform that enables you to build data pipelines, perform advanced analytics, train machine learning models, and activate audiences—all in one unified environment.

What is Syntasa?

Syntasa is a cloud-native platform that simplifies the entire data lifecycle:

  • Build Data Pipelines: Visual workflow builder with 40+ pre-built process types
  • Transform Data: Powerful transformation capabilities with Spark, SQL, and custom code
  • Machine Learning: Integrated MLflow and JupyterLab for ML workflows
  • Audience Management: Build, segment, and activate audiences
  • Visualizations: Create interactive dashboards with Superset and Dash
  • Multi-Cloud: Works seamlessly with AWS, GCP, and Azure

Quick Start

Get started with Syntasa in minutes:

  • Quick Start - First Pipeline

    Build your first data pipeline in 15 minutes

    Start building

  • Quick Start - First Notebook

    Create and run your first Jupyter notebook

    Start coding

  • Quick Start - First Dashboard

    Build your first interactive dashboard

    Start visualizing

  • Key Concepts

    Understand core Syntasa concepts

    Learn concepts

Core Features

Data Pipelines

Build sophisticated data pipelines with a visual drag-and-drop interface. Choose from 40+ pre-built process types or write custom code.

Explore Pipelines →

Machine Learning

Train, track, and deploy machine learning models with integrated MLflow and JupyterLab.

Explore ML →

Audience Management

Build complex audience segments, create custom attributes, and activate audiences to marketing platforms.

Explore Audiences →

Visualizations

Create interactive dashboards and visualizations with Superset and Dash.

Explore Visualizations →

For Data Engineers

For Data Scientists

For Analysts

For Administrators

Documentation Structure

This documentation is organized into the following sections:

Section Description
Getting Started Quick starts, tutorials, and key concepts
Workspace & Navigation Using the Syntasa UI effectively
Building Data Pipelines Creating and managing data pipelines
Process Types Complete catalog of 40+ process types
Job Management Scheduling, monitoring, and troubleshooting jobs
Resource Management Managing runtimes, connections, and datastores
Audience Management Building and activating audiences
Notebooks & ML JupyterLab and MLflow integration
Visualizations Creating dashboards and visualizations
Collaboration Sharing resources and team collaboration
Integrations Cloud platforms and third-party integrations
Reference Quick reference guides and API docs
Troubleshooting Common issues and solutions

Need Help?

What's New

Check out the latest features and improvements:

Ready to get started? Choose a quick start guide above or explore the documentation using the navigation menu.