Splunk User Behavior Analytics and Varonis Platform compete in the cybersecurity analytics domain. While Splunk gains an upper hand due to its superior analytics and integration capabilities, Varonis is favored for data access governance and threat management.
Features: Splunk offers powerful data correlation and threat detection with machine learning, customizable dashboards, and efficient data searching. It integrates seamlessly with other platforms, making it adaptable. Varonis is appreciated for data access governance, identifying unauthorized access, and maintaining data security while handling data classification efficiently.
Room for Improvement: Splunk users desire feature integration directly into the base platform, enhanced correlation engine, and improved scalability, with concerns about complexity and high licensing costs. Varonis requires faster rule application, expanded cloud capabilities, and licensing cost reduction with a smoother transition to the cloud.
Ease of Deployment and Customer Service: Splunk offers flexible deployment options like on-premises, public, and hybrid cloud solutions with commendable technical support and support tiers. Varonis provides on-premises and hybrid cloud deployments with satisfactory technical support, although cloud transition is slower.
Pricing and ROI: Splunk is considered expensive with pricing dependent on data processed and licensing models, but it presents potential ROI through cost reductions in incident handling. Varonis, with high costs and separate module licenses, is worth the investment for data-centric organizations, though prohibitive for smaller enterprises.
| Product | Market Share (%) |
|---|---|
| Splunk User Behavior Analytics | 8.9% |
| Varonis Platform | 5.0% |
| Other | 86.1% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 11 |
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.
Varonis Platform enhances data security and governance with advanced analytics, identifying unusual access patterns and sensitive areas. Its centralized interface manages permissions across systems, offering essential capabilities for alerting and reporting.
Varonis Platform provides continuous data protection and monitoring by identifying and alerting on unauthorized data access. It offers comprehensive insights into file access and user activities, supporting data classification and simplifying compliance with tracking and monitoring capabilities. Integration with storage systems enables users to manage permissions and access effectively. Room for improvement includes cloud integration and simplifying its interface and calculation engine for ease of use. Challenges include on-premises dependency, licensing costs, and a need for enhanced DLP capabilities.
What are the primary features of Varonis Platform?
What benefits and ROI should users expect?
In finance, Varonis aids in safeguarding sensitive financial data, while in healthcare, it secures patient records. Legal industries utilize it for protecting client information, and retail sectors manage sensitive customer data. These industries benefit from Varonis' ability to prevent unauthorized access and streamline compliance.
We monitor all User Entity Behavior Analytics (UEBA) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
