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ElasticSearch vs IBM QRadar
October 03, 2024 | Author: Michael Stromann
20★
The most sophisticated, open search platform. Transform your data into actionable observability. Protect, investigate, and respond to complex threats by unifying the capabilities of SIEM, endpoint security, and cloud security.
18★
IBM Security QRadar, a modular security suite, helps security teams gain visibility to quickly detect, investigate and respond to threats.
See also:
Top 10 Big Data platforms
Top 10 Big Data platforms
ElasticSearch and IBM QRadar are both data analysis platforms designed to work with large amounts of data. They offer advanced search functionalities, enabling users to query and filter data. Each supports integration with other tools and data sources for enhanced functionality and provides robust data security features.
But ElasticSearch (first released in 2010) is a Dutch open-source universal Big Data platform. It's used in different cases for full-text search, log analysis and real-time data indexing. Besides security, it's often used for e-commerce search and business analytics. As it's an open-source product you can rely only on community support.
IBM QRadar (2005) is IBM's proprietary SIEM software for security information and event management with dedicated support and services. QRadar is focused on detecting and responding to cybersecurity threats.
See also: Top 10 Big Data platforms
But ElasticSearch (first released in 2010) is a Dutch open-source universal Big Data platform. It's used in different cases for full-text search, log analysis and real-time data indexing. Besides security, it's often used for e-commerce search and business analytics. As it's an open-source product you can rely only on community support.
IBM QRadar (2005) is IBM's proprietary SIEM software for security information and event management with dedicated support and services. QRadar is focused on detecting and responding to cybersecurity threats.
See also: Top 10 Big Data platforms
