Users report that Elastic Security excels in "Threat Hunting" capabilities, allowing for proactive identification of potential threats, while Azure Data Factory is more focused on data integration and transformation, which may not cater to security needs as effectively.
Reviewers mention that Elastic Security's "Real-Time Detection" feature is highly praised for its speed and accuracy, whereas Azure Data Factory's strengths lie in its "Data Transformation" capabilities, which are essential for ETL processes but do not address security concerns.
G2 users highlight that Elastic Security offers robust "Incident Management" tools, making it easier to respond to security incidents, while Azure Data Factory lacks dedicated incident response features, focusing instead on data workflows.
Users on G2 appreciate Elastic Security's "Automated Response" functionality, which streamlines the response to detected threats, contrasting with Azure Data Factory's emphasis on "Data Loading" and "Extraction" processes, which do not include security automation.
Reviewers say that Elastic Security provides comprehensive "Security Auditing" features, which are crucial for compliance and monitoring, while Azure Data Factory is noted for its "Scalability" in handling large data sets but does not offer similar security auditing capabilities.
Users report that Elastic Security's "Vulnerability Prevention" tools are effective in identifying and mitigating risks, whereas Azure Data Factory is primarily focused on data management and lacks dedicated security features, making it less suitable for organizations prioritizing security.
Pricing
Entry-Level Pricing
Azure Data Factory
No pricing available
Elastic Security
No pricing available
Free Trial
Azure Data Factory
No trial information available
Elastic Security
No trial information available
Ratings
Meets Requirements
9.2
65
9.3
7
Ease of Use
8.9
66
8.8
7
Ease of Setup
9.2
31
Not enough data
Ease of Admin
8.6
23
Not enough data
Quality of Support
8.8
60
9.2
6
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