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Dagster

Researched

Dagster is a data orchestrator platform for building, scheduling, and monitoring reliable data pipelines across an entire stack. It offers asset-based pipelines, observability of lineage and dependencies, and capabilities spanning data orchestration, catalog, and quality.

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At a glance

In one minute

Start here for the decision-making essentials: what Dagster does, who it is for, how it is accessed, and the first-party sources behind this profile.

Pricing7 options

Solo Plan at $10 per month

Starter Plan at $100 per month

Pro and Enterprise Plans via C

Pay-as-you-go compute credits: $0.040/credit (Solo), $0.035/credit (Starter)

serverless c

Updated Solo and Starter pricing takes effect May 1, 2026

Dagster+ offers Pro, Starter, and Solo plans

Platforms
Web
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary

Best suited to

Source-backed fit
Data teams needing reliable pipeline orchestration and observability… Organizations in Finance, Software & Technology, Retail & E-commerce, and… Teams building governed data agents on top of trusted data workflows via… Users wanting an open source edition plus Dagster+ Pro, Starter, or Solo plans Finance, Software & Technology, Retail & E-commerce, Life Sciences Targets data teams across Finance, Software & Technology, Retail &…
Decision support

Common questions and adoption checks

6 sourced answers

Short answers to the questions buyers and builders commonly ask about Dagster. Each answer cites the shared ledger below, where every source is listed once.

01What does Dagster say it can do?

Data orchestrator platform for building, scheduling, and monitoring reliable data pipeline · Build and run asset-based pipelines across any tool in the stack · Observability of data lineage, dependencies, and data health across the platform · Data Orchestration

Dagster is the data orchestrator platform that helps you build, schedule, and monitor reliable data pipelines
Ledger citations[2] dagster.io[6] dagster.io/learn/airflow-api[7] dagster.io/support[3] dagster.io/integrations
02Who is Dagster intended for?

Finance, Software & Technology, Retail & E-commerce, Life Sciences · Targets data teams across Finance, Software & Technology, Retail & E-commerce, and Life Sc · Dagster is intended for data teams (data and ML engineers) that build data pipelines.

Industries Finance Software & Technology Retail & E-commerce Life Sciences
Ledger citations[3] dagster.io/integrations[5] dagster.io/customers[8] dagster.io/company/careers[14] dagster.io/blog/dagster-master-plan
03What use cases does Dagster describe?

Building and shipping governed data agents on top of trusted data workflows using Compass · AI & Machine Learning data workflows · Supports workloads from ELT and dbt to AI and LLMs · ETL/ELT Pipelines

With Compass, teams can build and ship governed data agents on top of trusted data workflows.
Ledger citations[2] dagster.io[1] dagster.io/pricing[6] dagster.io/learn/airflow-api[3] dagster.io/integrations
04What should teams verify before adopting Dagster?

Dagster Support does not assist with custom business logic, user-authored configurations, · Dagster is not being shut down as a result of the acquisition.

Dagster Support does not provide assistance with : Custom business logic, pipelines, or user-authored configurations.
Ledger citations[10] dagster.io/support/dagster-plus[12] dagster.io/dagster-customer-faq
05What pricing information is available for Dagster?

Solo Plan at $10 per month; Starter Plan at $100 per month; Pro and Enterprise Plans via C · Pay-as-you-go compute credits: $0.040/credit (Solo), $0.035/credit (Starter); serverless c · Updated Solo and Starter pricing takes effect May 1, 2026 · Dagster+ offers Pro, Starter, and Solo plans

Solo Plan $10 per month For individual builders shipping simple pipelines.
Ledger citations[1] dagster.io/pricing[7] dagster.io/support
06What integrations does Dagster document?

Airflow, Snowflake, DBT, AWS · Anthropic's Claude AI models · Integrates with dbt (smava automated the generation of over 1,000 dbt models on Dagster) · Positioned against Airflow, dbt Cloud, Azure Data Factory, and AWS Step Functions

Easily connect Dagster with your favorite tools - Airflow, Snowflake, DBT, AWS, and more.
Ledger citations[3] dagster.io/integrations[5] dagster.io/customers[9] dagster.io/solutions/ai[4] dagster.io/blog
Decision guide

Capabilities and operating fit

Agent platforms

This profile connects the jobs Dagster is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • ETL/ELT Pipelines
  • AI & Machine Learning workflows
  • Data Modernization
  • Data Products
  • Workloads from ELT and dbt to AI and LLMs
  • Building and shipping governed data agents on top of trusted data workflows

Access signals

Pricing model
Solo Plan at $10 per month; Starter Plan at $100 per month; Pro and Enterprise Plans via C · Pay-as-you-go compute credits: $0.040/credit (Solo), $0.035/credit (Starter); serverless c · Updated Solo and Starter pricing takes effect May 1, 2026 · Dagster+ offers Pro, Starter, and Solo plans
API
Not publicly listed
Source links
16 recorded
Source-backed

Verified facts

Updated July 22, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

First-party description

Modern Data Orchestrator Platform | Dagster

Source-supported facts

Data orchestrator platform for building, scheduling, and monitoring reliable data pipeline · Build and run asset-based pipelines across any tool in your stack · Observability of data lineage, dependencies, and data health across the platform

Capability

Data orchestrator platform for building, scheduling, and monitoring reliable data pipelines

Capability

Build and run asset-based pipelines across any tool in the stack

Capability

Observability of data lineage, dependencies, and data health across the platform

Use case

Building and shipping governed data agents on top of trusted data workflows using Compass

Use case

AI & Machine Learning data workflows

View 32 more verified facts
Company

Announced that Dagster is joining Prefect

Pricing

Solo Plan at $10 per month; Starter Plan at $100 per month; Pro and Enterprise Plans via Contact Sales

[1]dagster.io/pricing
Pricing

Pay-as-you-go compute credits: $0.040/credit (Solo), $0.035/credit (Starter); serverless compute $0.01 per compute minute

[1]dagster.io/pricing
Pricing

Updated Solo and Starter pricing takes effect May 1, 2026

[1]dagster.io/pricing
Use case

Supports workloads from ELT and dbt to AI and LLMs

[1]dagster.io/pricing
Company

Dagster is joining Prefect

[1]dagster.io/pricing
Deployment

Tier limits: Solo = 1 user / 1 code location / 1 deployment; Starter = up to 3 users / 5 code locations / 1 deployment; Pro and Enterprise = unlimited code locations and deployments

[1]dagster.io/pricing
Company

Dagster is joining Prefect

[6]dagster.io/learn/airflow-api
Capability

Data Orchestration

[6]dagster.io/learn/airflow-api
Capability

Data Catalog

[6]dagster.io/learn/airflow-api
Capability

Data Quality

[6]dagster.io/learn/airflow-api
Use case

ETL/ELT Pipelines

[6]dagster.io/learn/airflow-api
Support

Enterprise Support

[6]dagster.io/learn/airflow-api
Open source

Dagster has an open source edition

[7]dagster.io/support
Company

Elementl, Inc. d.b.a. Dagster Labs

[7]dagster.io/support
Pricing

Dagster+ offers Pro, Starter, and Solo plans

[7]dagster.io/support
Support

Support via official documentation, fine-tuned LLM chat on docs, GitHub Discussions, and in-app support tickets for Dagster+ users

[7]dagster.io/support
Capability

Data Orchestration

[7]dagster.io/support
Capability

Data Quality

[7]dagster.io/support
Platform

Dagster offers a platform with related services and functionality via dagster.io

[16]dagster.io/privacy
Integration

Airflow, Snowflake, DBT, AWS

[3]dagster.io/integrations
Capability

Data Orchestration, Data Catalog, Data Quality

[3]dagster.io/integrations
Company

Dagster is joining Prefect

[3]dagster.io/integrations
Integration

Anthropic's Claude AI models

[3]dagster.io/integrations
Use case

ETL/ELT Pipelines, AI & Machine Learning, Data Modernization, Data Products

[3]dagster.io/integrations
Audience

Finance, Software & Technology, Retail & E-commerce, Life Sciences

[3]dagster.io/integrations
Company

Dagster is joining Prefect

[5]dagster.io/customers
Capability

Build reliable pipelines, improve visibility, and scale operations

[5]dagster.io/customers
Capability

Product offerings include Data Orchestration, Data Catalog, and Data Quality

[5]dagster.io/customers
Use case

Supported workflows include ETL/ELT Pipelines, AI & Machine Learning, Data Modernization, and Data Products

[5]dagster.io/customers
Audience

Targets data teams across Finance, Software & Technology, Retail & E-commerce, and Life Sciences industries

[5]dagster.io/customers
Integration

Integrates with dbt (smava automated the generation of over 1,000 dbt models on Dagster)

[5]dagster.io/customers
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

ETL/ELT Pipelines

Use case

AI & Machine Learning workflows

Use case

Data Modernization

Use case

Data Products

Use case

Workloads from ELT and dbt to AI and LLMs

Use case

Building and shipping governed data agents on top of trusted data workflows

Use case

AI & Machine Learning data workflows

Use case

ETL/ELT Pipelines, AI & Machine Learning, Data Modernization, Data Products

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

Solo Plan at $10 per month; Starter Plan at $100 per month; Pro and Enterprise Plans via C · Pay-as-you-go compute credits: $0.040/credit (Solo), $0.035/credit (Starter); serverless c · Updated Solo and Starter pricing takes effect May 1, 2026 · Dagster+ offers Pro, Starter, and Solo plansDagster has an open source edition · Dagster operates under an open-source model, with the team publishing plans in the spirit

Platforms

Dagster offers a platform with related services and functionality via dagster.ioDagster+ (offered alongside a sign-in flow)
Implementation details

Adoption notes

DeploymentTier limits: Solo = 1 user / 1 code location / 1 deployment; Starter = up to 3 users / 5 c · Dagster+ is offered as a managed Cloud deployment.
LicenseDagster has an open source edition · Dagster operates under an open-source model, with the team publishing plans in the spirit
Model supportNot disclosed by source
Data controlNot disclosed by source
Learning curveIntermediate
Primary use casesETL/ELT Pipelines, AI & Machine Learning workflows, Data Modernization, Data Products, Workloads from ELT and dbt to AI and LLMs, Building and shipping governed data agents on top of trusted data workflows, Building and shipping governed data agents on top of trusted data workflows using Compass, AI & Machine Learning data workflows, Supports workloads from ELT and dbt to AI and LLMs, ETL/ELT Pipelines, AI & Machine Learning, Data Modernization, Data Products, Supported workflows include ETL/ELT Pipelines, AI & Machine Learning, Data Modernization,, Orchestrating ETL/ELT pipelines and AI/ML pipelines end-to-end from data ingestion to prod, ETL/ELT pipelines, Dagster+ supports workloads from ELT and dbt to AI and LLMs, AI & Machine Learning, Dagster helps teams run reliable data and ML pipelines at scale.

What to verify before adopting

  • Dagster Support does not assist with custom business logic, user-authored configurations,
  • Dagster is not being shut down as a result of the acquisition.
Evolution and major updates

Dagster timeline

A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

Research in progress
Scheduled for research

Building a reliable release history.

This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.

Dated event Short explanation Original source
Citation ledger

Recorded sources

16 unique pages

Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

  1. 1dagster.io/pricing 12 facts · 2 answers · Pricing
  2. 2dagster.io 10 facts · 2 answers · Official site
  3. 3dagster.io/integrations 6 facts · 4 answers · Official site
  4. 4dagster.io/blog 7 facts · 1 answer · Official site
  5. 5dagster.io/customers 6 facts · 2 answers · Official site
  6. 6dagster.io/learn/airflow-api 6 facts · 2 answers · Documentation
  7. 7dagster.io/support 6 facts · 2 answers · Official site
  8. 8dagster.io/company/careers 6 facts · 1 answer · Official site
  9. 9dagster.io/solutions/ai 6 facts · 1 answer · Official site
  10. 10dagster.io/support/dagster-plus 6 facts · 1 answer · Official site
  11. 11dagster.io/blog/dbt-docs-on-react 6 facts · Documentation
  12. 12dagster.io/dagster-customer-faq 5 facts · 1 answer · Official site
  13. 13dagster.io/glossary/restful-api 6 facts · Documentation
  14. 14dagster.io/blog/dagster-master-plan 4 facts · 1 answer · Official site
  15. 15dagster.io/glossary/api-application-programming-interface 1 fact · Documentation
  16. 16dagster.io/privacy 1 fact · Security
Research status92 substantive facts · 16 source pages · quality score 95/100