# Top 10 Dagster Alternatives &amp; Competitors
**Average Rating:** 4.5/5
**Total Number of Reviews:** 2
The Workload Automation Software solutions below are the most common alternatives that users and reviewers compare with Dagster. Other important factors to consider when researching alternatives to Dagster include reliability and ease of use. The best overall Dagster alternative is Workato. Other similar apps like Dagster are Monte Carlo, GitHub, Databricks, and Google Cloud BigQuery. Dagster alternatives can be found in [Workload Automation Software](https://www.g2.com/categories/workload-automation) but may also be in [iPaaS Software](https://www.g2.com/categories/ipaas) or [Version Control Hosting Software](https://www.g2.com/categories/version-control-hosting).


## Best Paid &amp; Free Alternatives to Dagster
  - [Workato](https://www.g2.com/products/workato/reviews)
  - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
  - [GitHub](https://www.g2.com/products/github/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [GitLab](https://www.g2.com/products/gitlab/reviews)
  - [Alteryx](https://www.g2.com/products/alteryx/reviews)
  - [LaunchDarkly](https://www.g2.com/products/launchdarkly/reviews)
  - [CloudBees](https://www.g2.com/products/cloudbees/reviews)
  - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)

## Top 10 Alternatives to Dagster Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Dagster stacks up to the competition, check reviews from current &amp; previous users in industries like Computer Software and Pharmaceuticals, and find the best product for your business.


  ### 1. [Workato](https://www.g2.com/products/workato/reviews)
By Workato
**Average Rating:** 4.7/5
**Total Reviews:** 776
The only intelligent automation platform that enables both business users and IT to build, operate and rollout app and data integration, process and workflow automation, in a single platform - without compromising security and governance.


Categories in common with Dagster: [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms), [ETL Tools](https://www.g2.com/categories/etl-tools), [AI Orchestration](https://www.g2.com/categories/ai-orchestration)

**Compare:** [Dagster vs Workato](https://www.g2.com/compare/dagster-vs-workato)
**Compare Workato with other alternatives:**
- [Workato vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-workato)
- [Workato vs GitHub](https://www.g2.com/compare/github-vs-workato)
- [Workato vs Databricks](https://www.g2.com/compare/databricks-vs-workato)
- [Workato vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-workato)
- [Workato vs GitLab](https://www.g2.com/compare/gitlab-vs-workato)
- [Workato vs Alteryx](https://www.g2.com/compare/alteryx-vs-workato)
- [Workato vs LaunchDarkly](https://www.g2.com/compare/launchdarkly-vs-workato)
- [Workato vs CloudBees](https://www.g2.com/compare/cloudbees-vs-workato)
- [Workato vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-workato)

  ### 2. [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
By Monte Carlo
**Average Rating:** 4.3/5
**Total Reviews:** 535
Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.


Categories in common with Dagster: [Data Observability](https://www.g2.com/categories/data-observability), [DataOps Platforms](https://www.g2.com/categories/dataops-platforms), [Data Quality](https://www.g2.com/categories/data-quality)

**Compare:** [Dagster vs Monte Carlo](https://www.g2.com/compare/dagster-vs-monte-carlo)
**Compare Monte Carlo with other alternatives:**
- [Monte Carlo vs Workato](https://www.g2.com/compare/monte-carlo-vs-workato)
- [Monte Carlo vs GitHub](https://www.g2.com/compare/github-vs-monte-carlo)
- [Monte Carlo vs Databricks](https://www.g2.com/compare/databricks-vs-monte-carlo)
- [Monte Carlo vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-monte-carlo)
- [Monte Carlo vs GitLab](https://www.g2.com/compare/gitlab-vs-monte-carlo)
- [Monte Carlo vs Alteryx](https://www.g2.com/compare/alteryx-vs-monte-carlo)
- [Monte Carlo vs LaunchDarkly](https://www.g2.com/compare/launchdarkly-vs-monte-carlo)
- [Monte Carlo vs CloudBees](https://www.g2.com/compare/cloudbees-vs-monte-carlo)
- [Monte Carlo vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-monte-carlo)

  ### 3. [GitHub](https://www.g2.com/products/github/reviews)
By GitHub
**Average Rating:** 4.7/5
**Total Reviews:** 2,391
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over two million people use GitHub to build amazing things together.


Categories in common with Dagster: [Continuous Delivery](https://www.g2.com/categories/continuous-delivery-tools), [Continuous Integration](https://www.g2.com/categories/continuous-integration)

**Compare:** [Dagster vs GitHub](https://www.g2.com/compare/dagster-vs-github)
**Compare GitHub with other alternatives:**
- [GitHub vs Workato](https://www.g2.com/compare/github-vs-workato)
- [GitHub vs Monte Carlo](https://www.g2.com/compare/github-vs-monte-carlo)
- [GitHub vs Databricks](https://www.g2.com/compare/databricks-vs-github)
- [GitHub vs Google Cloud BigQuery](https://www.g2.com/compare/github-vs-google-cloud-bigquery)
- [GitHub vs GitLab](https://www.g2.com/compare/github-vs-gitlab)
- [GitHub vs Alteryx](https://www.g2.com/compare/alteryx-vs-github)
- [GitHub vs LaunchDarkly](https://www.g2.com/compare/github-vs-launchdarkly)
- [GitHub vs CloudBees](https://www.g2.com/compare/cloudbees-vs-github)
- [GitHub vs HubSpot Data Hub](https://www.g2.com/compare/github-vs-hubspot-data-hub)

  ### 4. [Databricks](https://www.g2.com/products/databricks/reviews)
By Databricks Inc.
**Average Rating:** 4.6/5
**Total Reviews:** 1,353
Making big data simple


Categories in common with Dagster: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms), [ETL Tools](https://www.g2.com/categories/etl-tools)

**Compare:** [Dagster vs Databricks](https://www.g2.com/compare/dagster-vs-databricks)
**Compare Databricks with other alternatives:**
- [Databricks vs Workato](https://www.g2.com/compare/databricks-vs-workato)
- [Databricks vs Monte Carlo](https://www.g2.com/compare/databricks-vs-monte-carlo)
- [Databricks vs GitHub](https://www.g2.com/compare/databricks-vs-github)
- [Databricks vs Google Cloud BigQuery](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery)
- [Databricks vs GitLab](https://www.g2.com/compare/databricks-vs-gitlab)
- [Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-databricks)
- [Databricks vs LaunchDarkly](https://www.g2.com/compare/databricks-vs-launchdarkly)
- [Databricks vs CloudBees](https://www.g2.com/compare/cloudbees-vs-databricks)
- [Databricks vs HubSpot Data Hub](https://www.g2.com/compare/databricks-vs-hubspot-data-hub)

  ### 5. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
By Google
**Average Rating:** 4.5/5
**Total Reviews:** 1,223
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.


Categories in common with Dagster: [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms), [ETL Tools](https://www.g2.com/categories/etl-tools)

**Compare:** [Dagster vs Google Cloud BigQuery](https://www.g2.com/compare/dagster-vs-google-cloud-bigquery)
**Compare Google Cloud BigQuery with other alternatives:**
- [Google Cloud BigQuery vs Workato](https://www.g2.com/compare/google-cloud-bigquery-vs-workato)
- [Google Cloud BigQuery vs Monte Carlo](https://www.g2.com/compare/google-cloud-bigquery-vs-monte-carlo)
- [Google Cloud BigQuery vs GitHub](https://www.g2.com/compare/github-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Databricks](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs GitLab](https://www.g2.com/compare/gitlab-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Alteryx](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs LaunchDarkly](https://www.g2.com/compare/google-cloud-bigquery-vs-launchdarkly)
- [Google Cloud BigQuery vs CloudBees](https://www.g2.com/compare/cloudbees-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs HubSpot Data Hub](https://www.g2.com/compare/google-cloud-bigquery-vs-hubspot-data-hub)

  ### 6. [GitLab](https://www.g2.com/products/gitlab/reviews)
By GitLab Inc.
**Average Rating:** 4.5/5
**Total Reviews:** 900
An open source web interface and source control platform based on Git.


Categories in common with Dagster: [Continuous Delivery](https://www.g2.com/categories/continuous-delivery-tools), [Continuous Integration](https://www.g2.com/categories/continuous-integration)

**Compare:** [Dagster vs GitLab](https://www.g2.com/compare/dagster-vs-gitlab)
**Compare GitLab with other alternatives:**
- [GitLab vs Workato](https://www.g2.com/compare/gitlab-vs-workato)
- [GitLab vs Monte Carlo](https://www.g2.com/compare/gitlab-vs-monte-carlo)
- [GitLab vs GitHub](https://www.g2.com/compare/github-vs-gitlab)
- [GitLab vs Databricks](https://www.g2.com/compare/databricks-vs-gitlab)
- [GitLab vs Google Cloud BigQuery](https://www.g2.com/compare/gitlab-vs-google-cloud-bigquery)
- [GitLab vs Alteryx](https://www.g2.com/compare/alteryx-vs-gitlab)
- [GitLab vs LaunchDarkly](https://www.g2.com/compare/gitlab-vs-launchdarkly)
- [GitLab vs CloudBees](https://www.g2.com/compare/cloudbees-vs-gitlab)
- [GitLab vs HubSpot Data Hub](https://www.g2.com/compare/gitlab-vs-hubspot-data-hub)

  ### 7. [Alteryx](https://www.g2.com/products/alteryx/reviews)
By Alteryx
**Average Rating:** 4.6/5
**Total Reviews:** 889
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.


Categories in common with Dagster: [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms), [ETL Tools](https://www.g2.com/categories/etl-tools)

**Compare:** [Dagster vs Alteryx](https://www.g2.com/compare/alteryx-vs-dagster)
**Compare Alteryx with other alternatives:**
- [Alteryx vs Workato](https://www.g2.com/compare/alteryx-vs-workato)
- [Alteryx vs Monte Carlo](https://www.g2.com/compare/alteryx-vs-monte-carlo)
- [Alteryx vs GitHub](https://www.g2.com/compare/alteryx-vs-github)
- [Alteryx vs Databricks](https://www.g2.com/compare/alteryx-vs-databricks)
- [Alteryx vs Google Cloud BigQuery](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery)
- [Alteryx vs GitLab](https://www.g2.com/compare/alteryx-vs-gitlab)
- [Alteryx vs LaunchDarkly](https://www.g2.com/compare/alteryx-vs-launchdarkly)
- [Alteryx vs CloudBees](https://www.g2.com/compare/alteryx-vs-cloudbees)
- [Alteryx vs HubSpot Data Hub](https://www.g2.com/compare/alteryx-vs-hubspot-data-hub)

  ### 8. [LaunchDarkly](https://www.g2.com/products/launchdarkly/reviews)
By LaunchDarkly
**Average Rating:** 4.5/5
**Total Reviews:** 790
LaunchDarkly&#39;s vision is to eliminate risk for developers and operations teams from the software development cycle. As companies transition to a world built on software, there is an increasing requirement to move quickly, balanced with the desire to maintain control. LaunchDarkly is the feature management platform to control the whole feature lifecycle from Concept → Launch → Value.


Categories in common with Dagster: [AI Orchestration](https://www.g2.com/categories/ai-orchestration), [Continuous Delivery](https://www.g2.com/categories/continuous-delivery-tools)

**Compare:** [Dagster vs LaunchDarkly](https://www.g2.com/compare/dagster-vs-launchdarkly)
**Compare LaunchDarkly with other alternatives:**
- [LaunchDarkly vs Workato](https://www.g2.com/compare/launchdarkly-vs-workato)
- [LaunchDarkly vs Monte Carlo](https://www.g2.com/compare/launchdarkly-vs-monte-carlo)
- [LaunchDarkly vs GitHub](https://www.g2.com/compare/github-vs-launchdarkly)
- [LaunchDarkly vs Databricks](https://www.g2.com/compare/databricks-vs-launchdarkly)
- [LaunchDarkly vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-launchdarkly)
- [LaunchDarkly vs GitLab](https://www.g2.com/compare/gitlab-vs-launchdarkly)
- [LaunchDarkly vs Alteryx](https://www.g2.com/compare/alteryx-vs-launchdarkly)
- [LaunchDarkly vs CloudBees](https://www.g2.com/compare/cloudbees-vs-launchdarkly)
- [LaunchDarkly vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-launchdarkly)

  ### 9. [CloudBees](https://www.g2.com/products/cloudbees/reviews)
By CloudBees
**Average Rating:** 4.4/5
**Total Reviews:** 621
Enabling the world’s biggest and brightest companies to transition from incoherent, disconnected DevOps to self-service, fast, secure workflows connecting software delivery to business outcomes.


Categories in common with Dagster: [Continuous Delivery](https://www.g2.com/categories/continuous-delivery-tools), [Continuous Integration](https://www.g2.com/categories/continuous-integration)

**Compare:** [Dagster vs CloudBees](https://www.g2.com/compare/cloudbees-vs-dagster)
**Compare CloudBees with other alternatives:**
- [CloudBees vs Workato](https://www.g2.com/compare/cloudbees-vs-workato)
- [CloudBees vs Monte Carlo](https://www.g2.com/compare/cloudbees-vs-monte-carlo)
- [CloudBees vs GitHub](https://www.g2.com/compare/cloudbees-vs-github)
- [CloudBees vs Databricks](https://www.g2.com/compare/cloudbees-vs-databricks)
- [CloudBees vs Google Cloud BigQuery](https://www.g2.com/compare/cloudbees-vs-google-cloud-bigquery)
- [CloudBees vs GitLab](https://www.g2.com/compare/cloudbees-vs-gitlab)
- [CloudBees vs Alteryx](https://www.g2.com/compare/alteryx-vs-cloudbees)
- [CloudBees vs LaunchDarkly](https://www.g2.com/compare/cloudbees-vs-launchdarkly)
- [CloudBees vs HubSpot Data Hub](https://www.g2.com/compare/cloudbees-vs-hubspot-data-hub)

  ### 10. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)
By HubSpot
**Average Rating:** 4.5/5
**Total Reviews:** 577
HubSpot Operations Hub allows you to keep all your contacts in 2-Way, Real Time Sync no matter if you use (Gmail/Outlook, Salesforce, Pipedrive, Constant Contact, Prosperworks, HubSpot, MailChimp or ActiveCampaign to name a few).


Categories in common with Dagster: [ETL Tools](https://www.g2.com/categories/etl-tools), [Data Quality](https://www.g2.com/categories/data-quality)

**Compare:** [Dagster vs HubSpot Data Hub](https://www.g2.com/compare/dagster-vs-hubspot-data-hub)
**Compare HubSpot Data Hub with other alternatives:**
- [HubSpot Data Hub vs Workato](https://www.g2.com/compare/hubspot-data-hub-vs-workato)
- [HubSpot Data Hub vs Monte Carlo](https://www.g2.com/compare/hubspot-data-hub-vs-monte-carlo)
- [HubSpot Data Hub vs GitHub](https://www.g2.com/compare/github-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Databricks](https://www.g2.com/compare/databricks-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-hubspot-data-hub)
- [HubSpot Data Hub vs GitLab](https://www.g2.com/compare/gitlab-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Alteryx](https://www.g2.com/compare/alteryx-vs-hubspot-data-hub)
- [HubSpot Data Hub vs LaunchDarkly](https://www.g2.com/compare/hubspot-data-hub-vs-launchdarkly)
- [HubSpot Data Hub vs CloudBees](https://www.g2.com/compare/cloudbees-vs-hubspot-data-hub)


---
## Dagster Alternatives FAQs

### How does Dagster compare to Workato?

According to G2 data, [Dagster](https://www.g2.com/products/dagster/reviews) holds an average rating of 4.5/5 based on 2 reviews, while [Workato](https://www.g2.com/products/workato/reviews) boasts a higher average rating of 4.7/5 from 761 reviews, indicating stronger overall user satisfaction. Workato leads Dagster by 0.4 points in key usability dimensions such as meeting requirements (9.0), usability (9.0), ease of setup (8.8), ease of administration (9.0), support (9.2), and ease of doing business with (9.4). Users praise Dagster for its asset-centric data orchestration, strong integrations with modern data tools like dbt, Snowflake, and Databricks, built-in observability, and developer-friendly design emphasizing testability and maintainability. Workato is widely recognized for its no-code/low-code platform that enables both technical and non-technical users to build automations quickly, with an intuitive drag-and-drop interface and a vast library of over 1,000 pre-built connectors. Workato excels in ease of use, integration capabilities, automation features, and customer support, with 240 mentions of ease of use and 173 mentions of easy integrations. While Workato has a learning curve for complex logic and some pricing concerns, it offers robust enterprise-grade features, scalability, and extensive community and support resources. Overall, Workato&#39;s broader adoption, higher ratings, and comprehensive feature set position it as a more user-friendly and scalable solution compared to Dagster&#39;s specialized data orchestration focus.



### What are the best alternatives to Dagster?

According to G2, the best alternatives to Dagster in the Workload Automation category are [Workato](https://www.g2.com/products/workato/reviews) (4.7/5 stars with 761 reviews), [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) (4.3/5 stars with 525 reviews), [GitHub](https://www.g2.com/products/github/reviews) (4.7/5 stars with 2,363 reviews), and [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) (4.5/5 stars with 1,227 reviews).



### What features do alternatives offer that Dagster does not?

Alternatives to Dagster offer features such as AI-driven automation, extensive prebuilt connectors, advanced data observability with anomaly detection, integrated version control and collaboration tools, and serverless scalable data warehousing that Dagster does not provide natively.



### Which Workload Automation tools do reviewers recommend instead of Dagster?

Reviewers recommend [Workato](https://www.g2.com/products/workato/reviews) for its intuitive low-code automation, extensive library of over 1,200 prebuilt connectors, AI-powered workflow capabilities, and enterprise-grade security and governance. [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) is favored for its end-to-end data observability, automated anomaly detection, data lineage visualization, and seamless integration with data warehouses and orchestration tools. [GitHub](https://www.g2.com/products/github/reviews) is recommended for its robust version control, seamless collaboration features, integrated CI/CD pipelines via GitHub Actions, and AI-assisted coding with GitHub Copilot. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) is praised for its serverless, fully managed, and scalable data warehousing, fast SQL query performance on massive datasets, and strong integration with Google Cloud ecosystem and AI tools. These alternatives provide comprehensive automation, observability, collaboration, and data analytics capabilities that complement or extend beyond Dagster&#39;s offerings.



### Why do users choose Workato over Dagster?

Users choose [Workato](https://www.g2.com/products/workato/reviews) over Dagster primarily for its ease of use and accessibility to non-technical users, supported by 240 mentions of ease of use and 173 mentions of easy integrations. Workato&#39;s no-code/low-code drag-and-drop interface allows rapid automation development without deep programming knowledge, making it suitable for citizen developers and business stakeholders. Its extensive library of over 1,000 pre-built connectors enables seamless integration across a wide range of applications, reducing development time and complexity. Workato also offers strong customer support, with 105 mentions highlighting responsive and helpful service, and a comprehensive training ecosystem through Workato Academy. The platform&#39;s scalability and enterprise-grade governance features, including robust error handling, version control, and security, appeal to organizations seeking reliable, maintainable automation at scale. Additionally, Workato&#39;s ability to handle complex workflows with conditional logic, looping, and custom code extensions provides flexibility for advanced use cases. While Dagster is praised for its modern data orchestration capabilities, its steep learning curve, complex setup, and evolving ecosystem make it less approachable for smaller teams or those seeking rapid deployment. Workato&#39;s higher average rating of 4.7/5 across 761 reviews compared to Dagster&#39;s 4.5/5 from 2 reviews further reflects user preference for Workato&#39;s usability, support, and comprehensive integration capabilities according to G2 data.




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