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Dagster VS Compose for Developers

Compare Dagster VS Compose for Developers and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Dagster logo Dagster

The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

Compose for Developers logo Compose for Developers

Compose is an all-in-one platform that makes it incredibly fast and simple for a developer to build any kind of internal tool they need for their business.
  • Dagster Landing page
    Landing page //
    2023-03-22
  • Compose for Developers Landing page
    Landing page //
    2025-02-12

Dagster features and specs

  • Modular Design
    Dagster's modular architecture allows users to build reusable components, known as Solids and Dagsters, which promote organized and maintainable code.
  • Type Safety
    Dagster offers strong type safety, enabling users to define input and output types for all computations, reducing runtime errors and improving code reliability.
  • Integrated Scheduler
    Dagster includes a built-in scheduler, allowing for seamless workflow automation and easy management of recurring data processing jobs.
  • Rich Metadata
    Dagster provides extensive metadata for tracking the flow and results of data jobs, aiding in debugging and improving transparency in pipeline execution.
  • Interoperability
    The platform supports integrations with various tools, including Pandas, Spark, and dbt, enhancing its capability to work across different data ecosystems.
  • User Interface
    Dagster features a sophisticated web-based UI for visualizing pipelines and monitoring job runs, which enhances user experience and accessibility.

Possible disadvantages of Dagster

  • Learning Curve
    New users may find the framework's concepts and structure complex, leading to a steeper learning curve compared to simpler orchestration tools.
  • Limited Community Support
    Compared to more established tools, Dagster's community is smaller, potentially leading to less available third-party resources or slower responses to issues.
  • Integration Complexity
    While Dagster offers many integrations, configuring them can be complex and sometimes requires a deep understanding of both Dagster and the external tools.
  • Evolving Platform
    Being a relatively newer platform, Dagster is still evolving, which might lead to breaking changes or instability as it matures.

Compose for Developers features and specs

No features have been listed yet.

Dagster videos

+ Add

Airflow Vs. Dagster: The Full Breakdown!

More videos:

  • Review - Dagster Data Orchestration 10 min walkthrough
  • Review - Apache Airflow vs. Dagster

Compose for Developers videos

No Compose for Developers videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Dagster and Compose for Developers)

Dagster

Compose for Developers

Workflow Automation
91 91%
Workflow Automation
9% 9
Developer Tools
0 0%
Developer Tools
100% 100
Data Integration
100 100%
Data Integration
0% 0
No Code
0 0%
No Code
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dagster and Compose for Developers

Dagster Reviews

5 Airflow Alternatives for Data Orchestration
Dagster is an open-source data orchestration system that allows users to define their data assets as Python functions. Once defined, Dagster manages and executes these functions based on a user-defined schedule or in response to specific events. Dagster can be used at every stage of the data development lifecycle, from local development and unit testing to integration...
Source: www.kdnuggets.com
Top 8 Apache Airflow Alternatives in 2024
Unlike Airflow, which supports any production environment, Dagster concentrates on cloud services and supports modern data stacks. Being cloud-native and container-native, this solution makes the scheduling and execution processes easier. Dagster was created with such specific goals in mind: designing ETL data pipelines, implementing machine learning curves, and managing...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
Dagster is a Machine Learning, Analytics, and ETL Data Orchestrator. Since it handles the basic function of scheduling, effectively ordering, and monitoring computations, Dagster can be used as an alternative or replacement for Airflow (and other classic workflow engines).
Source: hevodata.com

Compose for Developers Reviews

We have no reviews of Compose for Developers yet.
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Social recommendations and mentions

Based on our record, Dagster should be more popular than Compose for Developers. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Dagster mentions (5)

  • Data Orchestration Tool Analysis: Airflow, Dagster, Flyte
    Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 4 months ago
  • Data Engineering with DLT and REST
    This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 6 months ago
  • How I've implemented the Medallion architecture using Apache Spark and Apache Hdoop
    Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 11 months ago
  • AI Strategy Guide: How to Scale AI Across Your Business
    Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / about 1 year ago
  • What are some open-source ML pipeline managers that are easy to use?
    I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 2 years ago

Compose for Developers mentions (1)

  • Show HN: Compose – Build internal tools faster, without leaving your codebase
    ``` Please let me know what you think! Website: https://composehq.com. - Source: Hacker News / 2 months ago

What are some alternatives?

When comparing Dagster and Compose for Developers, you can also consider the following products

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Retool - Build custom internal tools in minutes.

Kestra.io - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.

windmill.dev - Company-wide apps and automations from minimal python scripts

Prefect.io - Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.

Superblocks - Quickly build internal apps, workflows & scheduled jobs connected to your databases and APIs.

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