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Compare Apache Airflow and MAMP 
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At a Glance
Market Segments
Mid-Market (46.0% of reviews)
Small-Business (74.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Airflow
Star Rating
(118)4.4 out of 5
Market Segments
Mid-Market (46.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Apache AirflowMAMP
Star Rating
(51)4.3 out of 5
Market Segments
Small-Business (74.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about MAMPSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that MAMP excels in ease of setup, with a score of 8.9, making it a preferred choice for small businesses looking for a quick and straightforward installation process. In contrast, Apache Airflow has a lower setup score of 7.7, which some users find challenging, especially for those new to workflow management.
- Reviewers mention that MAMP's user-friendly interface contributes to its high ease of use rating of 8.9, which is particularly beneficial for developers who need a reliable local server environment. On the other hand, Apache Airflow, with an ease of use score of 8.4, is noted for its complexity, which can be a hurdle for users unfamiliar with data orchestration tools.
- G2 users highlight that MAMP has a strong focus on small-business needs, with 74.5% of reviews coming from this segment, indicating its tailored features for smaller teams. Conversely, Apache Airflow is favored by mid-market users (45.8% of reviews), suggesting it is better suited for larger organizations with more complex workflow requirements.
- Users on G2 report that MAMP's quality of support, rated at 7.7, is satisfactory but could be improved, especially for users seeking in-depth technical assistance. In comparison, Apache Airflow has a slightly better support rating of 7.8, with users appreciating the community-driven support and documentation available.
- Reviewers mention that MAMP's product direction score of 7.1 indicates some concerns about future updates and feature enhancements, which may affect long-term users. In contrast, Apache Airflow shines with a product direction score of 9.6, reflecting a strong commitment to continuous improvement and innovation in the data orchestration space.
- Users say that MAMP is a good partner in business with a high score of 9.1, indicating strong satisfaction among its user base. However, Apache Airflow, with a score of 8.4, shows that while it is effective, some users feel it may not fully meet their evolving business needs as effectively as MAMP does.
Pricing
Entry-Level Pricing
Apache Airflow
No pricing availableMAMP
No pricing availableFree Trial
Apache Airflow
No trial information availableMAMP
No trial information availableRatings
Meets Requirements
9.0
87
8.9
48
Ease of Use
8.4
87
8.9
48
Ease of Setup
7.6
51
8.9
18
Ease of Admin
8.3
30
8.8
17
Quality of Support
8.1
79
7.7
22
Has the product been a good partner in doing business?
8.6
29
9.1
13
Product Direction (% positive)
9.4
81
7.1
48
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 MAMP share no categories
Unique Categories
Apache Airflow is categorized as AI Orchestration and MLOps Platforms
MAMP 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.)
MAMP
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
23.5%
Marketing and Advertising
17.6%
Internet
13.7%
Information Technology and Services
9.8%
Design
9.8%
Other
25.5%
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
MAMP has no discussions with answers
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