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Celery VS Apache Airflow

Compare Celery VS Apache Airflow and see what are their differences

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  3. » Reviews
  4. » Alternatives

Celery logo Celery

Celery helps innovative companies set up pre-order or custom crowdfunding campaigns anywhere.

Apache Airflow logo Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • Celery Landing page
    Landing page //
    2021-10-19
  • Apache Airflow Landing page
    Landing page //
    2023-06-17

Celery features and specs

  • User-Friendly Interface
    Celery offers an intuitive and easy-to-navigate interface, allowing users to set up and manage their crowdfunding or pre-order campaigns with minimal hassle.
  • Integrated Payment Processing
    It provides integrated payment processing that supports various payment methods, simplifying the financial transactions for both sellers and customers.
  • Customizable Checkout
    Celery allows for customization of the checkout experience, ensuring that it aligns with the brand and provides a seamless purchasing process for consumers.
  • Flexible Pre-Order Options
    The platform supports flexible pre-order configurations, allowing businesses to tailor their offerings to fit their specific business model and customer expectations.
  • Scalability
    Celery is designed to accommodate the growth of a business, allowing startups and established companies to scale their operations efficiently.

Possible disadvantages of Celery

  • Limited Features for Large Enterprises
    While suitable for small to medium-sized businesses, Celery may lack some advanced features required by large enterprises with complex needs.
  • Dependency on Third-Party Payment Providers
    Though Celery offers integrated payment options, it still depends on third-party payment providers, which might lead to additional fees and complexities.
  • Learning Curve for Advanced Customization
    While the basic setup is user-friendly, more advanced customizations might require a steeper learning curve or technical knowledge.
  • Potential for Delayed Support
    Some users may experience slower response times from customer support, which can be crucial when addressing urgent issues or technical difficulties.
  • Pricing Structure
    The cost of using Celery could become a consideration for smaller businesses, especially when compared to other platforms that might offer lower fees or a different pricing model.

Apache Airflow features and specs

  • Scalability
    Apache Airflow can scale horizontally, allowing it to handle large volumes of tasks and workflows by distributing the workload across multiple worker nodes.
  • Extensibility
    It supports custom plugins and operators, making it highly customizable to fit various use cases. Users can define their own tasks, sensors, and hooks.
  • Visualization
    Airflow provides an intuitive web interface for monitoring and managing workflows. The interface allows users to visualize DAGs, track task statuses, and debug failures.
  • Flexibility
    Workflows are defined using Python code, which offers a high degree of flexibility and programmatic control over the tasks and their dependencies.
  • Integrations
    Airflow has built-in integrations with a wide range of tools and services such as AWS, Google Cloud, and Apache Hadoop, making it easier to connect to external systems.

Possible disadvantages of Apache Airflow

  • Complexity
    Setting up and configuring Apache Airflow can be complex, particularly for new users. It requires careful management of infrastructure components like databases and web servers.
  • Resource Intensive
    Airflow can be resource-heavy in terms of both memory and CPU usage, especially when dealing with a large number of tasks and DAGs.
  • Learning Curve
    The learning curve can be steep for users who are not familiar with Python or the underlying concepts of workflow management.
  • Limited Real-Time Processing
    Airflow is better suited for batch processing and scheduled tasks rather than real-time event-based processing.
  • Dependency Management
    Managing task dependencies in complex DAGs can become cumbersome and may lead to configuration errors if not properly handled.

Celery videos

+ Add

Medical Medium Anthony William on the Dos and Don’ts of Celery Juice

More videos:

  • Review - Celery Juice Review: I Drank Celery Juice for 7 Days & This Is What Happened
  • Review - CELERY JUICE REVIEW | Medical medium's celery juice for 2 months | Honest Experience | Georgia Gibbs

Apache Airflow videos

+ Add

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to Celery and Apache Airflow)

Celery

Apache Airflow

Data Integration
100 100%
Data Integration
0% 0
Workflow Automation
0 0%
Workflow Automation
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
Automation
0 0%
Automation
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 Celery and Apache Airflow

Celery Reviews

We have no reviews of Celery yet.
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Apache Airflow Reviews

5 Airflow Alternatives for Data Orchestration
While Apache Airflow continues to be a popular tool for data orchestration, the alternatives presented here offer a range of features and benefits that may better suit certain projects or team preferences. Whether you prioritize simplicity, code-centric design, or the integration of machine learning workflows, there is likely an alternative that meets your needs. By...
Source: www.kdnuggets.com
Top 8 Apache Airflow Alternatives in 2024
Apache Airflow is a workflow streamlining solution aiming at accelerating routine procedures. This article provides a detailed description of Apache Airflow as one of the most popular automation solutions. It also presents and compares alternatives to Airflow, their characteristic features, and recommended application areas. Based on that, each business could decide which...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
In a nutshell, you gained a basic understanding of Apache Airflow and its powerful features. On the other hand, you understood some of the limitations and disadvantages of Apache Airflow. Hence, this article helped you explore the best Apache Airflow Alternatives available in the market. So, you can try hands-on on these Airflow Alternatives and select the best according to...
Source: hevodata.com
A List of The 16 Best ETL Tools And Why To Choose Them
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.
Source: www.datacamp.com
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Airflow programmatically creates, schedules and monitors workflows. It can also modify the scheduler to run the jobs as and when required.
Source: www.softwaretestinghelp.com

Social recommendations and mentions

Based on our record, Apache Airflow seems to be more popular. It has been mentiond 75 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.

Celery mentions (0)

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

Apache Airflow mentions (75)

  • The DOJ Still Wants Google to Sell Off Chrome
    Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / 2 months ago
  • 10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows
    Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 3 months ago
  • 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
  • AIOps, DevOps, MLOps, LLMOps – What’s the Difference?
    Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - 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 / 5 months ago
View more

What are some alternatives?

When comparing Celery and Apache Airflow, you can also consider the following products

Enqueue It - Easy and scalable solution for manage and execute background tasks seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.

Make.com - Tool for workflow automation (Former Integromat)

Hangfire - An easy way to perform background processing in .NET and .NET Core applications.

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

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