Dagster logo

Dagster

The data orchestration platform for the modern data stack, designed for developing, operating, and observing data assets.

Quick Info

0 reviews
Grow stage

Overview

Dagster is an open-source data orchestrator that goes beyond simple task scheduling. It provides a unified programming model for building, testing, and operating data assets, emphasizing data quality, lineage, and observability throughout the data lifecycle. Unlike traditional orchestrators, Dagster treats data as a first-class citizen, allowing engineers to define data assets and their dependencies explicitly, which leads to more robust and understandable data systems.

The platform offers a rich set of features including a data catalog for discovering and understanding data assets, integrated data quality checks to prevent errors, and cost insights to optimize resource usage. It supports a wide range of integrations with popular data tools and is designed to handle diverse workflows, from batch ETL/ELT processes to real-time data products and machine learning pipelines. Dagster aims to empower data teams to ship data faster and scale smarter by providing a developer-friendly experience and comprehensive operational capabilities.

Best For

Building and managing complex ETL/ELT data pipelines
Developing and deploying AI and Machine Learning models
Modernizing existing data infrastructure and workflows
Creating reliable data products with integrated quality checks
Orchestrating data across various systems in finance, retail, and tech industries

Key Features

Data Orchestration
Data Catalog
Data Quality
Cost Insights
Integrations
ETL/ELT Pipelines
AI & Machine Learning Workflows
Data Modernization
Data Products

Pros & Cons

Pros

  • Focus on data assets and their lifecycle, improving data reliability
  • Built-in data quality and observability features
  • Strong support for various data workflows including ETL/ELT and ML
  • Comprehensive platform with orchestration, catalog, and cost insights
  • Designed for developer productivity with local development and testing capabilities

Cons

  • Can have a steep learning curve for new users unfamiliar with asset-based orchestration
  • Requires a good understanding of Python for defining pipelines
  • Deployment and infrastructure management might be complex for smaller teams without DevOps experience
  • Pricing for advanced features or enterprise scale might be a barrier for some startups

Reviews & Ratings

0.0

0 reviews

5
0% (0)
4
0% (0)
3
0% (0)
2
0% (0)
1
0% (0)

Share Your Experience

Sign in to write a review and help other indie hackers make informed decisions.

Sign In to Write a Review

No Reviews Yet

Be the first to share your experience with this tool!

Ready to try Dagster?

Join thousands of indie hackers building with Dagster