Splunk User Behavior Analytics and Exabeam compete in the security and user behavior analytics sector. Splunk holds the upper hand with more advanced features, while Exabeam is favored for cost-effectiveness and ease of use.
Features: Splunk User Behavior Analytics is notable for advanced analytics, data correlation, anomaly detection, machine learning capabilities, and customizable dashboards. Exabeam provides strong behavioral analytics, session reconstruction, intuitive UI, and comprehensive integration capabilities.
Room for Improvement: Splunk faces challenges with pricing and licensing flexibility, integration capabilities, and desires for better dashboards. Exabeam needs improvements in dashboard customization, API interaction, documentation, and addressing false positives.
Ease of Deployment and Customer Service: Splunk supports on-premises, cloud, and hybrid deployments, offering robust technical support and extensive documentation. Exabeam supports on-premises and cloud deployments, with customer support quality varying among users.
Pricing and ROI: Splunk's unpredictable and high pricing makes it a significant investment, with ROI seen through productivity gains. Exabeam’s pricing is more reasonable and flexible, offering better ROI balance.
Exabeam offers more machine learning models that detect anomalies.
The solution can save costs by improving incident resolution times and reducing security incident costs.
Even with TAM support from Exabeam, many issues go unresolved.
Mission-critical offering a dedicated team, proactive monitoring, and fast resolution.
The support quality is excellent for paid tiers, following enterprise-grade SLAs with proactive support and deep expertise.
Splunk's technical support is amazing.
Splunk User Behavior Analytics is highly scalable, designed for enterprise scalability, allowing expansion of data ingestion, indexing, and search capabilities as log volumes grow.
These problems were not frequent, and the last six to eight months have been stable.
With built-in redundancy across zones and regions, 99.9% uptime is achievable.
Splunk User Behavior Analytics is a one hundred percent stable solution.
Splunk User Behavior Analytics is highly stable and reliable, even in large-scale enterprise environments with high log injection rates.
I have explored the SaaS version; it offers many new features.
Exabeam needs to improve its documentation and provide more customization for dashboards and case management.
Global reach allows deployment of apps and services closer to users worldwide, but data sovereignty concerns exist and region selection must align with compliance requirements.
High data ingestion costs can be an issue, especially for large enterprises, as Splunk charges based on the amount of data processed.
I encountered several issues while trying to create solutions for this advanced version, which seem unrelated to query or data issues.
Reserved instances with one or three-year commitments offer lower rates, providing up to 70% savings.
Comparing with the competitors, it's a bit expensive.
The pricing is based on the amount of data processed, and it is considered a high-level investment for enterprises.
The product offers useful features like the dashboard, timeline, and session views, which enhance our security tools.
Exabeam's AI capabilities, like the natural language mode, convert natural language into Exabeam queries, enhancing ease of use.
I also utilize it for anomaly detection and behavior analysis, particularly using Splunk's machine learning environment.
Features like alerts and auto report generation are valuable.
It correlates all the historical data, compares the upcoming behavior with what's already stored in the platform, and reduces false positives.
| Product | Market Share (%) |
|---|---|
| Exabeam | 9.6% |
| Splunk User Behavior Analytics | 8.9% |
| Other | 81.5% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 12 |
Exabeam Fusion is a cloud-delivered solution that that enables you to:
-Leverage turnkey threat detection, investigation, and response
-Collect, search and enhance data from anywhere
-Detect threats missed by other tools, using market-leading behavior analytics
-Achieve successful SecOps outcomes with prescriptive, threat-centric use case packages
-Enhance productivity and reduce response times with automation
-Meet regulatory compliance and audit requirements with ease
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.
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