Splunk Enterprise Security and Exabeam are major competitors in the security information and event management (SIEM) market. Based on the comparison, Splunk has an edge in log management and data ingestion, while Exabeam excels in behavior analytics with automation capabilities.
Features: Splunk offers powerful log management, intuitive search across large datasets, and schema-on-read technology, allowing flexible and fast data handling. The Search Processing Language (SPL) enhances data manipulation and real-time analysis. Exabeam provides exceptional behavior analytics through machine learning, advanced automation for threat detection, and clear timeline events, improving investigative efficiency.
Room for Improvement: Splunk could enhance its visualization features and simplify operational workflows. Its licensing model is also viewed as expensive. Exabeam needs to improve dashboard customization and documentation. Additionally, its integration capabilities can be expanded to facilitate better interoperability with other tools.
Ease of Deployment and Customer Service: Splunk offers flexible deployment across on-premises, public, and hybrid clouds. It benefits from robust community support, though technical support response times vary. Exabeam's deployment is straightforward but can improve its consistency in customer service, especially for urgent situations.
Pricing and ROI: Splunk is considered costly, often due to data volume, yet users see its value for extensive features and potential ROI through reduced incident response times. Exabeam is relatively more competitively priced, focusing on user behavior analytics. Both solutions offer significant ROI by enhancing security insights and efficiencies.
Exabeam offers more machine learning models that detect anomalies.
I have noticed a return on investment with Splunk Enterprise Security, as it delivers substantial value for money.
Customers see the value in investing in this solution, particularly when it helps resolve issues quickly, turning a potential 20-hour response into one hour.
Splunk's cost is justified for large environments with extensive assets.
Even with TAM support from Exabeam, many issues go unresolved.
If you want to write your own correlation rules, it is very difficult to do, and you need Splunk's support to write new correlation rules for the SIEM tool.
They try to close issues as soon as possible, often just offering documentation links.
They are responsive and effectively resolve issues.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
It is easy to scale.
It's big in a Central European context, and small from a Splunk North American context.
These problems were not frequent, and the last six to eight months have been stable.
They test it very thoroughly before release, and our customers have Splunk running for months without issues.
It provides a stable environment but needs to integrate with ITSM platforms to achieve better visibility.
It is very stable.
Exabeam needs to improve its documentation and provide more customization for dashboards and case management.
I have explored the SaaS version; it offers many new features.
Improving the infrastructure behind Splunk Enterprise Security is vital—enhanced cores, CPUs, and memory should be prioritized to support better processing power.
Splunk Enterprise Security is not something that automatically picks things; you have to set up use cases, update data models, and link the right use cases to the right data models for those detections to happen.
What Splunk could do better is to create an API to the standard SIEM tools, such as Microsoft Sentinel.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
The platform requires significant financial investment and resources, making it expensive despite its comprehensive features.
Splunk is priced higher than other solutions.
Exabeam's AI capabilities, like the natural language mode, convert natural language into Exabeam queries, enhancing ease of use.
The product offers useful features like the dashboard, timeline, and session views, which enhance our security tools.
This capability is useful for performance monitoring and issue identification.
I assess Splunk Enterprise Security's insider threat detection capabilities for helping to find unknown threats and anomalous user behavior as great.
They have approximately 50,000 predefined correlation rules.
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 Enterprise Security is widely used for security operations, including threat detection, incident response, and log monitoring. It centralizes log management, offers security analytics, and ensures compliance, enhancing the overall security posture of organizations.
Companies leverage Splunk Enterprise Security to monitor endpoints, networks, and users, detecting anomalies, brute force attacks, and unauthorized access. They use it for fraud detection, machine learning, and real-time alerts within their SOCs. The platform enhances visibility and correlates data from multiple sources to identify security threats efficiently. Key features include comprehensive dashboards, excellent reporting capabilities, robust log aggregation, and flexible data ingestion. Users appreciate its SIEM capabilities, threat intelligence, risk-based alerting, and correlation searches. Highly scalable and stable, it suits multi-cloud environments, reducing alert volumes and speeding up investigations.
What are the key features?Splunk Enterprise Security is implemented across industries like finance, healthcare, and retail. Financial institutions use it for fraud detection and compliance, while healthcare organizations leverage its capabilities to safeguard patient data. Retailers deploy it to protect customer information and ensure secure transactions.
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