Dagster vs Prefect: Features, Pricing and User Reviews 2026

Dagster

Modern Data Orchestration Platform

ETL Workflow Automation+1 more

Prefect

Open-Source Python Workflow Automation

ETL Workflow Automation+1 more

Dagster

Modern Data Orchestration Platform

ETL Workflow Automation+1 more

Prefect

Open-Source Python Workflow Automation

ETL Workflow Automation+1 more

Dagster

Dagster is a tool that helps organize and run your data workflows automatically. Think of it as a smart manager for all your data tasks. Instead of manually running scripts or remembering which files depend on others, Dagster handles this for you.

What makes Dagster different is how it thinks about data. It tracks your tables, files, and models as important items (called assets) rather than just focusing on the jobs that create them. This helps you see how all your data connects together.

The platform includes features for testing your code before it goes live, checking data quality automatically, and showing you how much your data processes cost. You can use it on your own servers or in the cloud through their managed service.

Prefect

Prefect is a Python-based workflow management system that turns regular functions into production-ready data pipelines. You write your code in normal Python, add a few simple markers (called decorators), and Prefect handles the scheduling, monitoring, and error recovery automatically.

The tool works in two ways: you can run it on your own servers (open-source version) or use their hosted cloud service. Both options give you a clean dashboard to see what's running, what failed, and where problems occurred. Prefect automatically retries failed tasks, caches results to save time, and sends alerts when issues arise.

What makes Prefect special is its flexibility. It works with your existing code without forcing you to restructure everything, making it easier to adopt than many alternatives.

Features of Dagster and Prefect

Dagster

Asset-based data orchestration and tracking
Local testing and development environment
Automatic data quality validation checks
Integration with dbt, Snowflake, and other tools
Real-time data lineage visualization
Built-in cost tracking and monitoring
Schedule automation with smart triggers
Python-native development experience
Branch deployments for safe testing
Built-in data catalog and metadata

Prefect

Python-based workflow automation without special languages
Automatic task retries and error handling
Real-time dashboard for monitoring and debugging
Flexible scheduling with cron expressions and event triggers
Open-source with cloud-hosted option available
Integration with AWS, Google Cloud, Azure, and more
Version control and deployment management
Team collaboration with workspaces and permissions
API access for custom integrations
Active community support

Use Cases of Dagster and Prefect

Dagster

Workflow Automation Data Pipeline Building Job Scheduling Data Quality Management

Prefect

Workflow Automation Data Pipeline Building Job Scheduling Workflow Deployment

Pricing of Dagster and Prefect

Dagster

Dagster offers flexible pricing to match different team sizes and needs. There is also an open-source version you can run yourself for free if you have technical resources.

The Solo Plan costs $10 per month and is perfect for individual developers or small projects. You get 7,500 credits monthly, support for one user, one code location, and one deployment. This includes a 30-day free trial to test everything out.

The Starter Plan is $100 per month and designed for small teams getting serious about data pipelines. It includes 30,000 credits monthly, up to 3 users, 5 code locations, and the Catalog Search feature. Like Solo, it comes with a 30-day free trial.

For larger organizations, the Pro Plan requires contacting their sales team for custom pricing. This tier offers unlimited code locations and deployments, cost tracking tools, personalized support when getting started, a private Slack channel for assistance, uptime guarantees, and custom security reviews.

Prefect

Prefect offers flexible pricing to suit teams of all sizes. The Hobby plan is completely free and includes 2 users, up to 5 deployed workflows, and 500 minutes of serverless computing each month. This plan works well for personal projects and learning.

The Starter plan costs $100 per month with 3 users and 20 deployed workflows, plus 75 hours of serverless computing. You can also bring your own infrastructure to run workflows.

For growing teams, the Team plan is $400 monthly with 4 users included (add more for $100 each, up to 8 total). It includes 100 deployed workflows and 225 hours of serverless computing, plus service accounts and audit logs.

Pro and Enterprise plans require custom pricing and offer advanced features like single sign-on, multiple workspaces, role-based access control, and dedicated support with service level agreements.