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Compare Altova MapForce and Azure Data Factory 
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At a Glance
Market Segments
Enterprise (42.1% of reviews)
Enterprise (63.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Altova MapForce
Star Rating
(23)4.5 out of 5
Market Segments
Enterprise (42.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Altova MapForceAzure Data Factory
Star Rating
(87)4.6 out of 5
Market Segments
Enterprise (63.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data FactorySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Azure Data Factory excels in data transformation capabilities, with a score of 9.3, while Altova MapForce falls short with a score of 7.1. Reviewers mention that Azure's integration with various data sources and its robust mapping features make it a preferred choice for complex data workflows.
- Reviewers say that Azure Data Factory's automation features are highly rated at 9.2, allowing for seamless scheduling and execution of data pipelines. In contrast, users on G2 indicate that Altova MapForce's automation capabilities are less intuitive, reflected in its lower score of 8.3.
- G2 users highlight Azure Data Factory's scalability with a score of 9.3, making it suitable for enterprise-level data operations. Users report that Altova MapForce, with a score of 7.5, may struggle to handle larger datasets efficiently, which can be a limitation for growing businesses.
- Users say that Azure Data Factory's no-code functionality is a standout feature, scoring 9.3, which allows non-technical users to create data workflows easily. Reviewers mention that Altova MapForce, while offering some no-code options, does not provide the same level of user-friendliness, leading to a score of 8.4.
- Reviewers mention that Azure Data Factory's loading capabilities are rated at 9.4, making it highly efficient for data ingestion processes. In comparison, users report that Altova MapForce's loading features, scoring only 6.7, can be cumbersome and less efficient for large-scale data operations.
- Users on G2 appreciate Azure Data Factory's quality of support, scoring 8.8, which is often highlighted in reviews as responsive and helpful. Conversely, Altova MapForce's support, with a score of 8.1, is noted to be less comprehensive, leading to some user frustration when seeking assistance.
Pricing
Entry-Level Pricing
Altova MapForce
No pricing availableAzure Data Factory
No pricing availableFree Trial
Altova MapForce
Free Trial is available
Azure Data Factory
No trial information availableRatings
Meets Requirements
8.6
18
9.2
65
Ease of Use
8.4
18
8.9
66
Ease of Setup
8.5
8
9.2
31
Ease of Admin
7.9
8
8.6
23
Quality of Support
8.1
17
8.8
60
Has the product been a good partner in doing business?
8.8
7
9.3
22
Product Direction (% positive)
8.6
17
9.8
61
Features by Category
Management
Not enough data
8.4
45
Not enough data
8.4
44
Functionality
8.1
7
9.1
47
7.1
7
9.1
47
6.7
6
9.3
44
8.3
5
9.1
47
7.5
6
9.1
45
Functionality
8.3
11
Not enough data
9.2
12
Not enough data
9.2
11
Not enough data
9.2
12
Not enough data
9.3
12
Not enough data
9.2
12
Not enough data
8.3
11
Not enough data
8.3
9
Not enough data
Categories
Categories
Shared Categories
Altova MapForce and Azure Data Factory are categorized as ETL Tools
Unique Categories
Altova MapForce is categorized as Data Mapping
Azure Data Factory is categorized as Big Data Integration Platforms
Reviews
Reviewers' Company Size
Altova MapForce
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Azure Data Factory
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
15.8%
Banking
15.8%
Logistics and Supply Chain
10.5%
Insurance
10.5%
Transportation/Trucking/Railroad
5.3%
Other
42.1%
Information Technology and Services
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
Discussions
What is the most efficient way to create custom functions and publish them for public use
1 Comment
AM
Hi, you should create a project on GitHub and if someone wants to use your library( or would upgrade yours) can import it directly from your repositoryRead more
Altova MapForce has no more discussions with answers
Azure Data Factory has no more discussions with answers
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