Dagster logo
0(0 reviews)
Software Status:Active

About Dagster

Dagster is a data orchestrator platform from Elementl that helps users build, schedule, and monitor reliable data pipelines. It combines data orchestration, data catalog, and data quality so teams can efficiently manage their data workflows. Designed for AI and modern data platforms, Dagster supports integrated observability to provide insights into the data processes. With its flexible architecture, users can adapt it to their specific requirements, enabling effective collaboration among team members. Users can easily navigate data dependencies and ensure data integrity throughout the pipeline. Key capabilities: data orchestration data catalog data quality integrated observability flexible architecture Best for: teams that need to build and manage complex data pipelines effectively.

Dagster Details

Vendor
Elementl
Year Launched
2018
Location
2 Embarcadero Ctr San Francisco, CA 94111
Deployment
cloud
Training Options
documentation, videos, demo, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean
Users
Data Engineers, Machine Learning Engineers, Data Scientists, Data Platform Engineers, DevOps Engineers, Analytics Engineers, AI/ML Ops Specialists, Software Engineers working on data infrastructure, Data Architects, Technical Product Managers
Industries Served
Finance, Software & Technology, Retail & E-commerce, Life Sciences & Biotech, Government & Public Sector, Media & Entertainment, Telecommunications, Healthcare, Education, Energy & Utilities
Tags
Data Management, Dagster

Dagster's In-App Market Place

Does Dagster have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr), CNY (¥), HKD (HK$), NZD (NZ$)

Pros & Cons

  • Unified Control Plane: Centralized platform for building, scaling, and observing AI and data pipelines.
  • Data-Aware Orchestration: Models data assets with built-in lineage, metadata, and quality checks.
  • Developer-Friendly: Supports local testing, branch deployments, and reusable components.
  • Integrated Catalog: Offers real-time insights, asset health monitoring, and cost transparency.
  • Flexible Integrations: Works with S3, Snowflake, PowerBI, dbt, and more.
  • Enterprise-Ready: Scales across teams with governance and observability features.
  • Fast Setup: Declarative workflows and CI/CD-native architecture streamline deployment.
  • Strong Community & Resources: Includes tutorials, webinars, and Dagster University for learning.
  • Learning Curve: Asset-based orchestration and declarative design may require onboarding time.
  • Newer Ecosystem: Compared to legacy tools like Airflow, Dagster’s plugin ecosystem is still growing.
  • Limited Non-Python Support: Primarily built for Python-based workflows.

Dagster's Support Options

Dagster's Alternatives