Best Log Analysis Software for Splunk User Behavior Analytics
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Compare the Top Log Analysis Software that integrates with Splunk User Behavior Analytics as of August 2025
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This a list of Log Analysis software that integrates with Splunk User Behavior Analytics. Use the filters on the left to add additional filters for products that have integrations with Splunk User Behavior Analytics. View the products that work with Splunk User Behavior Analytics in the table below.
What is Log Analysis Software for Splunk User Behavior Analytics?
Log analysis software helps organizations collect, monitor, and analyze log data generated by systems, applications, and network devices to gain insights into system performance, security, and user behavior. These tools aggregate log files from various sources, enabling users to identify issues such as errors, security breaches, and performance bottlenecks. Key features of log analysis software often include real-time log collection, filtering, search capabilities, and advanced analytics to detect anomalies and trends. It is commonly used for IT operations, security monitoring, and troubleshooting, helping businesses maintain system health and comply with security standards. Compare and read user reviews of the best Log Analysis software for Splunk User Behavior Analytics currently available using the table below. This list is updated regularly.
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Splunk Enterprise
Splunk
Go from data to business outcomes faster than ever before with Splunk. Splunk Enterprise makes it simple to collect, analyze and act upon the untapped value of the big data generated by your technology infrastructure, security systems and business applications—giving you the insights to drive operational performance and business results. Collect and index log and machine data from any source. Combine your machine data with data in your relational databases, data warehouses and Hadoop and NoSQL data stores. Multi-site clustering and automatic load balancing scale to support hundreds of terabytes of data per day, optimize response times and provide continuous availability. The Splunk platform makes it easy to customize Splunk Enterprise to meet the needs of any project. Developers can build custom Splunk applications or integrate Splunk data into other applications. Apps from Splunk, our partners and our community enhance and extend the power of the Splunk platform. -
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The only real-time, analytics-driven multicloud monitoring solution for all environments (formerly SignalFx). Monitor any environment on a massively scalable streaming architecture. Open, flexible data collection and rapid visualizations of services in seconds. Purpose built for ephemeral and dynamic cloud-native environments at any scale (e.g., Kubernetes, container, serverless). Detect, visualize and resolve issues as soon as they arise. Monitor infrastructure performance in real-time at cloud scale through predictive streaming analytics. Over 200 pre-built integrations for cloud services and out-of-the-box dashboards for rapid visualization of your entire stack. Autodiscover, breakdown, group, and explore clouds, services and systems. Quickly and easily understand how your infrastructure behaves across different services, availability zones, Kubernetes clusters and more.
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Splunk Observability Cloud
Splunk
Splunk Observability Cloud is a comprehensive, real-time monitoring and observability platform designed to help organizations gain full visibility into their cloud-native environments, infrastructure, applications, and services. It combines metrics, logs, and traces into a unified solution, providing seamless end-to-end visibility across complex architectures. With its powerful analytics, AI-driven insights, and customizable dashboards, Splunk Observability Cloud helps teams quickly identify and resolve performance issues, reduce downtime, and improve system reliability. It supports a wide range of integrations and provides real-time, high-resolution data for proactive monitoring. This enables IT and DevOps teams to detect anomalies, optimize performance, and ensure the health and efficiency of their cloud and hybrid environments.
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