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Dagster VS Birdly

Compare Dagster VS Birdly and see what are their differences

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Contents:
  1. » Base Details
  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.

Birdly logo Birdly

Birdly is an expense management and expense report solution for SMBs.
  • Dagster Landing page
    Landing page //
    2023-03-22
  • Birdly Landing page
    Landing page //
    2023-02-03

Dagster videos

+ Add

Airflow Vs. Dagster: The Full Breakdown!

More videos:

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

Birdly videos

+ Add

Birdly is hands down the best VR experience yet

More videos:

  • Review - Birdly - The Dream of Flying
  • Review - BIRDLY - immersive VR - feels like flying!

Category Popularity

0-100% (relative to Dagster and Birdly)

Dagster

Birdly

Data Integration
100 100%
Data Integration
0% 0
Productivity
0 0%
Productivity
100% 100
Analytics
74 74%
Analytics
26% 26
Customer Data Platform
0 0%
Customer Data Platform
100% 100

User comments

Share your experience with using Dagster and Birdly. For example, how are they different and which one is better?
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Reviews

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

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

Birdly Reviews

We have no reviews of Birdly yet.
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Social recommendations and mentions

Based on our record, Dagster seems to be more popular. It has been mentiond 2 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 (2)

Birdly mentions (0)

We have not tracked any mentions of Birdly yet. Tracking of Birdly recommendations started around Mar 2021.

What are some alternatives?

When comparing Dagster and Birdly, you can also consider the following products

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

ExpenseBot - ExpenseBot takes the hassle out of expense reporting with our intuitive interface and powerful integrations. Your employees will love us, and so will you!

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

Astronomer - Capture every user event and route them anywhere. Automatically

n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

mParticle - mParticle is the customer data platform for brands leading the CX revolution. Unify data and simplify partner integrations with enterprise-class security and reliability.

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