 |
ArcSight vs ElasticSearch
August 06, 2023 | Author: Michael Stromann
10
ArcSight aggregates, normalizes, and enriches event data across your organization for greater threat visibility.
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.
See also:
Top 10 Big Data platforms
Top 10 Big Data platforms
ArcSight and Elasticsearch are two distinct software solutions with different functionalities, designed to address specific needs in the realm of data management and cybersecurity.
ArcSight is a security information and event management (SIEM) platform developed by Micro Focus. Its primary focus is on real-time event correlation, log management, and security analytics. ArcSight is commonly used for security operations and threat detection, as it can ingest and analyze large volumes of security-related data from various sources, such as firewalls, intrusion detection systems, and application logs. It provides pre-built connectors to integrate with numerous third-party security tools, facilitating centralized event monitoring and incident response. ArcSight's strength lies in its security-specific features and advanced correlation capabilities, making it an excellent choice for organizations with complex security requirements and compliance needs.
Elasticsearch, on the other hand, is an open-source distributed search and analytics engine, part of the Elastic Stack. While it can handle large-scale data ingestion and storage, its main focus is on fast and flexible data retrieval, full-text search, and data exploration. Elasticsearch is commonly used for log aggregation, application performance monitoring, and business intelligence. It provides a JSON-based data model that allows for easy indexing and querying of structured and unstructured data. Elasticsearch's powerful text analysis capabilities make it suitable for natural language processing and text-based searches. It excels at visualizing data through Kibana, a data visualization platform that works seamlessly with Elasticsearch. Unlike ArcSight, Elasticsearch is not primarily designed for cybersecurity use cases, although it can be used in conjunction with security tools to enhance log analysis and monitoring.
See also: Top 10 Big Data platforms
ArcSight is a security information and event management (SIEM) platform developed by Micro Focus. Its primary focus is on real-time event correlation, log management, and security analytics. ArcSight is commonly used for security operations and threat detection, as it can ingest and analyze large volumes of security-related data from various sources, such as firewalls, intrusion detection systems, and application logs. It provides pre-built connectors to integrate with numerous third-party security tools, facilitating centralized event monitoring and incident response. ArcSight's strength lies in its security-specific features and advanced correlation capabilities, making it an excellent choice for organizations with complex security requirements and compliance needs.
Elasticsearch, on the other hand, is an open-source distributed search and analytics engine, part of the Elastic Stack. While it can handle large-scale data ingestion and storage, its main focus is on fast and flexible data retrieval, full-text search, and data exploration. Elasticsearch is commonly used for log aggregation, application performance monitoring, and business intelligence. It provides a JSON-based data model that allows for easy indexing and querying of structured and unstructured data. Elasticsearch's powerful text analysis capabilities make it suitable for natural language processing and text-based searches. It excels at visualizing data through Kibana, a data visualization platform that works seamlessly with Elasticsearch. Unlike ArcSight, Elasticsearch is not primarily designed for cybersecurity use cases, although it can be used in conjunction with security tools to enhance log analysis and monitoring.
See also: Top 10 Big Data platforms
