Compare Apache Airflow and python celery 
At a Glance
Market Segments
Mid-Market (46.4% of reviews)
Small-Business (57.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Airflow
Star Rating
(87)4.3 out of 5
Market Segments
Mid-Market (46.4% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Apache Airflowpython celery
Star Rating
(14)4.6 out of 5
Market Segments
Small-Business (57.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about python celerySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Apache Airflow excels in its ability to handle complex workflows with its Directed Acyclic Graph (DAG) feature, allowing for clear visualization and management of task dependencies, while Python Celery is often noted for its simplicity in handling straightforward task queues.
- Reviewers mention that Apache Airflow's scheduling capabilities are robust, with features like dynamic pipeline generation and extensive integration options, whereas users on G2 highlight Python Celery's ease of use for simple task scheduling but note limitations in more complex scenarios.
- G2 users indicate that the quality of support for Apache Airflow is somewhat lacking, with a score of 7.8, while Python Celery receives higher praise at 8.8, suggesting that users find it easier to get help and resources when needed.
- Users say that Apache Airflow's product direction is highly rated at 9.6%, indicating a strong commitment to ongoing development and feature enhancements, while Python Celery's lower score of 8.1 suggests some users may feel less confident in its future updates.
- Reviewers mention that the ease of setup for Apache Airflow can be challenging, with a score of 7.7, while Python Celery is often described as straightforward to set up, making it a preferred choice for teams looking for quick implementation.
- Users report that while both products have strong community support, Apache Airflow's larger user base (84 reviews) compared to Python Celery (14 reviews) may provide more resources and shared knowledge for troubleshooting and best practices.
Pricing
Entry-Level Pricing
Apache Airflow
No pricing availablepython celery
No pricing availableFree Trial
Apache Airflow
No trial information availablepython celery
No trial information availableRatings
Meets Requirements
9.1
59
9.5
13
Ease of Use
8.4
59
8.7
13
Ease of Setup
7.8
23
Not enough data
Ease of Admin
8.7
19
Not enough data
Quality of Support
7.8
54
8.8
10
Has the product been a good partner in doing business?
8.5
18
Not enough data
Product Direction (% positive)
9.6
55
8.1
12
Categories
Categories
Shared Categories
Apache Airflow and python celery are categorized as Other Development
Unique Categories
Apache Airflow has no unique categories
python celery has no unique categories
Reviews
Reviewers' Company Size
Apache Airflow
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
python celery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
22.6%
Computer Software
16.7%
Financial Services
9.5%
Retail
3.6%
Marketing and Advertising
3.6%
Other
44.0%
Internet
35.7%
Computer Software
35.7%
Information Technology and Services
21.4%
Financial Services
7.1%
‐
Other
0.0%
Most Helpful Reviews
Apache Airflow
Most Helpful Favorable Review
Ashutosh R.
Verified User in Retail
The best thing about Apache Airflow is that it provides integration with various services like big query , AWS , GCP etc.Plus it is available as as service in all cloud provides which provides seamless experience.The User Experience is perfect.
Most Helpful Critical Review
Verified User in Hospital & Health Care
Can be a little difficult to get use to.
python celery
Most Helpful Favorable Review
Martin Thorsen R.
Verified User in Computer Software
The most helpful part of Celery is that it can use a plethora of different backends for distributing and coordinating tasks. For example, Celery can use RabbitMQ, Redis, or Amazon SQS as brokers and backends. Through SQLAlchemy, it can also interface with...
Most Helpful Critical Review
Ashutosh R.
Verified User in Retail
The best thing about Apache Airflow is that it provides integration with various services like big query , AWS , GCP etc.Plus it is available as as service in all cloud provides which provides seamless experience.The User Experience is perfect.
Martin Thorsen R.
Verified User in Computer Software
The most helpful part of Celery is that it can use a plethora of different backends for distributing and coordinating tasks. For example, Celery can use RabbitMQ, Redis, or Amazon SQS as brokers and backends. Through SQLAlchemy, it can also interface with...
Verified User in Hospital & Health Care
Can be a little difficult to get use to.
Discussions
Who is using Apache airflow?
1 comment
FE
Custom metadata to Atlan.Read more
Is Apache airflow an ETL tool?
1 comment
BM
Yes, we can use it to schedule and trigger ETL jobs and orchestrate them into a logical workflow Read more
python celery has no discussions with answers
Hunting for software insights?
With over 2.5 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
or continue with
Gmail.com addresses not permitted. A business domain using Google is allowed.
By proceeding, you agree to our Terms of Use and Privacy Policy
