Users report that Ab Initio excels in data transformation capabilities, with a strong focus on complex data processing, while Azure Data Factory is praised for its user-friendly interface that simplifies data integration tasks.
Reviewers mention that Azure Data Factory offers superior automation features, allowing for seamless scheduling and orchestration of data workflows, whereas Ab Initio's automation capabilities are seen as less intuitive.
G2 users highlight that Ab Initio's extraction and loading functionalities are robust, particularly for large datasets, but some users feel that the learning curve is steeper compared to Azure Data Factory, which is noted for its ease of setup.
Users on G2 report that Azure Data Factory provides better scalability options, making it easier to handle growing data volumes, while Ab Initio's scalability is often described as more rigid and less adaptable to rapid changes.
Reviewers say that the quality of support for Azure Data Factory is consistently rated higher, with users appreciating the responsiveness and helpfulness of the support team, compared to Ab Initio, where some users have experienced delays in support response times.
Users mention that Ab Initio's auditing features are less comprehensive than those of Azure Data Factory, which offers more detailed tracking and reporting capabilities, making it easier for organizations to maintain compliance and monitor data flows.
Pricing
Entry-Level Pricing
Ab Initio
No pricing available
Azure Data Factory
No pricing available
Free Trial
Ab Initio
No trial information available
Azure Data Factory
No trial information available
Ratings
Meets Requirements
8.8
16
9.2
65
Ease of Use
8.5
16
8.9
66
Ease of Setup
Not enough data
9.2
31
Ease of Admin
Not enough data
8.6
23
Quality of Support
8.6
15
8.8
60
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