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Compare Apache Airflow and pip python 
At a Glance
Market Segments
Mid-Market (46.0% of reviews)
Mid-Market (36.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Airflow
Star Rating
(117)4.4 out of 5
Market Segments
Mid-Market (46.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Apache Airflowpip python
Star Rating
(34)4.6 out of 5
Market Segments
Mid-Market (36.4% of reviews)
Entry-Level Pricing
No pricing available
Learn more about pip pythonSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Apache Airflow excels in its ability to manage complex workflows, with features like Directed Acyclic Graphs (DAGs) that allow for clear visualization of task dependencies, while pip python is more suited for simpler task automation without such advanced workflow management capabilities.
- Reviewers mention that the ease of setup for pip python is significantly higher, with a score of 9.4 compared to Apache Airflow's 7.7, indicating that users find pip python more straightforward to install and configure for their needs.
- G2 users highlight that Apache Airflow's quality of support, rated at 7.8, could be improved, especially when compared to pip python's 8.2, suggesting that users may find more responsive assistance when using pip python.
- Users on G2 appreciate Apache Airflow's product direction, scoring 9.6, which indicates a strong commitment to evolving the software with user needs in mind, while pip python, with a score of 8.9, is perceived as having a slightly less aggressive roadmap for future enhancements.
- Reviewers say that while both products serve different purposes, Apache Airflow shines in environments requiring orchestration of multiple data pipelines, whereas pip python is favored for its simplicity and effectiveness in package management and script execution.
- Users report that the overall satisfaction with meeting requirements is higher for pip python (9.4) compared to Apache Airflow (9.1), suggesting that pip python may better fulfill user expectations in its core functionalities.
Pricing
Entry-Level Pricing
Apache Airflow
No pricing availablepip python
No pricing availableFree Trial
Apache Airflow
No trial information availablepip python
No trial information availableRatings
Meets Requirements
9.0
87
9.4
21
Ease of Use
8.4
87
9.4
21
Ease of Setup
7.6
51
Not enough data
Ease of Admin
8.3
30
Not enough data
Quality of Support
8.1
79
8.2
18
Has the product been a good partner in doing business?
8.6
29
Not enough data
Product Direction (% positive)
9.4
81
8.9
21
Features by Category
Deployment
8.5
8
Not enough data
8.5
9
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
8.9
9
Not enough data
Deployment
8.5
9
Not enough data
8.8
8
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
9.4
8
Not enough data
Management
8.5
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
8.5
8
Not enough data
Operations
8.1
9
Not enough data
8.5
8
Not enough data
8.8
8
Not enough data
Management
8.8
8
Not enough data
8.5
8
Not enough data
8.8
8
Not enough data
Generative AI
7.7
8
Not enough data
7.9
8
Not enough data
Workflow Design & Integration - AI Orchestration
8.1
18
Not enough data
8.1
18
Not enough data
8.0
17
Not enough data
8.4
18
Not enough data
8.4
17
Not enough data
7.7
16
Not enough data
Performance Optimization & Analytics - AI Orchestration
7.8
16
Not enough data
7.7
16
Not enough data
8.6
16
Not enough data
7.2
16
Not enough data
7.9
15
Not enough data
8.2
15
Not enough data
Governance & Compliance Controls - AI Orchestration
7.7
15
Not enough data
7.4
15
Not enough data
7.9
15
Not enough data
8.4
15
Not enough data
8.1
15
Not enough data
Categories
Categories
Shared Categories
Apache Airflow and pip python share no categories
Unique Categories
Apache Airflow is categorized as AI Orchestration and MLOps Platforms
pip python is categorized as Other Development
Reviews
Reviewers' Company Size
Apache Airflow
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
pip python
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
22.1%
Computer Software
15.9%
Financial Services
11.5%
Banking
4.4%
Retail
3.5%
Other
42.5%
Computer Software
15.2%
Research
9.1%
Internet
9.1%
Information Technology and Services
9.1%
Education Management
9.1%
Other
48.5%
Discussions
Who is using Apache airflow?
1 Comment
FE
To send custom metadata to AtlanRead 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
pip python has no discussions with answers
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