Is Dagster free or paid?

Dagster offers both free and paid plans. The free tier provides basic features, while paid plans unlock advanced capabilities.

Does Dagster require coding?

Dagster offers both no-code solutions and API access for developers. You can use it without coding, or integrate it programmatically if you have technical skills.

What platforms does Dagster support?

Dagster is primarily a web-based tool. It also provides API access for developers who want to integrate it into their applications.

How does Dagster compare to alternatives?

Dagster stands out with its high user ratings. It offers a free tier, making it accessible to users on a budget. The API integration capabilities make it ideal for developers. For detailed comparisons, check out our alternatives page.

Dagster

4.5

(5432 reviews)

Build, Schedule, and Monitor Reliable Data Pipelines

Dagster is a data orchestrator platform designed for building, scheduling, and monitoring reliable data pipelines. It serves as a unified control plane for teams to manage AI and data workflows effectively.

Business IntelligenceData Integration & ETLdata orchestratordata pipelinesAI & data pipelines

Overview

Dagster is the data orchestrator platform that helps you build, schedule, and monitor reliable data pipelines - fast, flexible, and built for teams. It serves as a unified control plane for teams to build, scale, and observe their AI and data pipelines with confidence.

This platform is designed to run critical data flows, encompassing everything from pipelines and transformations to full-scale AI and machine learning operations. Users can build reliable pipelines to transfer data from SaaS applications and APIs to data warehouses like Snowflake or BigQuery.

Key features include orchestration of dbt, Databricks, or Python transformations to produce clean, modeled data that powers analytics and business intelligence. Dagster accelerates machine learning development with pipelines that streamline data preparation, model training, and experiment tracking.

Targeted at teams building modern data platforms, Dagster empowers users to discover and understand datasets with clear ownership, lineage, and auto-generated documentation. The platform also ensures data trustworthiness with built-in lineage, alerting, and real-time health metrics, while providing intelligent alerts in Slack and AI-powered debugging for efficient incident resolution.

Screenshots & Videos

Homepage screenshot of https://www.dagster.io

Pricing Plans

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Pricing Model: free (open source)

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Pros (7)

Helps build, schedule, and monitor reliable data pipelines
Unified control plane for teams to build, scale, and observe AI & data pipelines
Accelerates ML development with streamlined data prep, model training, and experiment tracking
Built-in lineage, alerting, and real-time health metrics for data trust
Empowers teams with clear ownership, lineage, and auto-generated documentation
Intelligent alerts in Slack and AI-powered debugging for incident resolution
Supports a wide range of integrations including dbt, Databricks, and Python transformations

Cons (1)

Limited security compliance information

Alternatives of Dagster

Compare all alternatives

Apache Airflow

airflow.apache.org

Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows, similar to Dagster's data orchestration capabilities.

Prefect

www.prefect.io

Prefect is a modern workflow orchestration tool that allows users to build, run, and monitor data pipelines, offering similar features for data management and orchestration.

Luigi

luigi.readthedocs.io/en/stable

Luigi is a Python package that helps you build complex data pipelines, providing similar functionalities for task scheduling and dependency resolution.

Apache NiFi

nifi.apache.org

Apache NiFi is a data integration tool that automates the flow of data between systems, offering capabilities for data routing, transformation, and system mediation.

Matillion

www.matillion.com

Matillion is a cloud-native data integration platform that provides ETL capabilities for data transformation and loading into cloud data warehouses, akin to Dagster's data pipeline functionalities.