It is designed for high performance and can handle large volumes of data. Splunk is designed for high performance, with features like distributed search and indexing to speed up queries.Īzure Sentinel provides real-time processing and analysis of security data. It supports multi-tenant deployments and can handle large amounts of data. ![]() Splunk can scale horizontally and vertically to handle large volumes of data.Īzure Sentinel can scale up or down based on the organization's needs. It also includes a free tier for up to 500 MB of data per day. It also offers a free version called Splunk Free.Īzure Sentinel is priced based on the amount of data ingested and the retention period. Splunk's pricing model is based on the amount of data ingested and the number of users. It adheres to various compliance standards, including SOC 2, ISO 27001, and HIPAA. Splunk provides various security features, including role-based access control, encryption, and multi-factor authentication.Īzure Sentinel provides built-in security features, including data encryption, access control, and threat detection. Splunk integrates with various third-party tools and services, including data visualization tools, security tools, and cloud services.Īzure Sentinel integrates with various Microsoft and third-party security solutions, including Azure Active Directory, Azure Security Center, Azure Information Protection, and more. Splunk can be deployed on-premise, in the cloud, or as a hybrid model.Īzure Sentinel is a cloud-native service that can be deployed on Azure Cloud. KQL provides a flexible syntax for querying and analyzing large datasets quickly. Splunk uses a proprietary search language called Splunk Search Processing Language (SPL) to query and analyze data.Īzure Sentinel uses Kusto Query Language (KQL), a powerful query language for big data analytics. ![]() It includes built-in machine learning models that can be used to detect threats based on behavior analysis and anomaly detection. Splunk has machine learning capabilities that allow users to build models for predictive analytics, anomaly detection, and other advanced use cases.Īzure Sentinel leverages machine learning algorithms to detect and respond to security threats automatically. ![]() It can parse data in various formats, including JSON, CSV, and Syslog. Users can also use data models to normalize data and create relationships between different data sets.Īzure Sentinel allows data transformation and enrichment using built-in or custom parsers. Splunk allows users to transform data using built-in functions or custom scripts. It provides a flexible data connector framework that makes it easy to connect to different data sources. Splunk allows users to ingest data from various sources, including files, databases, APIs, and streaming data sources.Īzure Sentinel supports ingestion of data from various sources including Azure services, third-party products, and custom applications. It uses machine learning algorithms to detect and respond to security threats automatically. Splunk is a data processing tool that can handle various types of data, including machine-generated data, business metrics, and security logs.Īzure Sentinel uses big data analytics to process and analyze vast amounts of security data in real-time. Organizations that do not require real-time security monitoring and response. Organizations that require an on-premises security solution Small organizations that do not have a significant amount of security data to analyze When the cost of Splunk is prohibitive for the organization's budget. When simple data processing tools can suffice Integrate with other security solutions to provide a comprehensive security posture Monitor and audit user activities across the organizationĪnalyze security data to identify trends and patterns Investigate security incidents and breaches Detect and respond to security threats in real-time
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