Executive SummaryUpdated on Oct 9, 2024
ArcSight Logger and Elastic Observability are two prominent solutions in the data monitoring and analysis category. Elastic Observability is often seen as superior due to its feature-rich offerings and flexibility, despite ArcSight Logger's notable security strengths.
Features: ArcSight Logger is known for strong security, compliance features, and seamless integration within large enterprises. Elastic Observability stands out with scalability, advanced search capabilities, and real-time analytics, offering agility across various situations. ArcSight focuses on security, whereas Elastic emphasizes flexibility and analytical depth.
Room for Improvement: ArcSight Logger could enhance integration with modern data sources and increase flexibility. Elastic Observability users mention the need for improved performance in large data environments and more user customization options. ArcSight's adaptation to new technologies and Elastic’s data performance optimization are key focus areas.
Ease of Deployment and Customer Service: ArcSight Logger has a structured deployment model, which some find complex but is backed by reliable customer service. Elastic Observability offers straightforward deployment with effective support, emphasizing ease over structure.
Pricing and ROI: ArcSight Logger has higher setup costs, with users reporting strong long-term ROI aligned with security benefits. Elastic Observability provides competitive pricing, offering robust ROI via data processing efficiency. ArcSight’s security benefits justify its costs, while Elastic offers cost-effective data management.
To learn more, read our detailed
ArcSight Logger vs. Elastic Observability Report (Updated: December 2025).
