Splunk and Exabeam both compete in the field of security information and event management (SIEM). Splunk appears to have the upper hand when it comes to deployment flexibility and robustness in community support, while Exabeam is often noted for its ease of use and cost-effective pricing.
Features: Splunk Enterprise Security stands out with its ability to search and analyze machine-generated data rapidly, advanced data visualization capabilities, and comprehensive operational insights. Exabeam specializes in user and environmental behavior analysis, strong integration capabilities, and utilizes machine learning algorithms for threat detection.
Room for Improvement: Splunk can enhance its machine learning, predictive analytics, and ease of integration and configuration. Its complexity often relates to the interface and query language. Exabeam could improve API interactions, the speed and adaptability for user identity differentiation, and enhance its documentation and dashboard customization.
Ease of Deployment and Customer Service: Splunk offers flexible deployment options across on-premises, hybrid, and private clouds, with robust community support, though technical support can be inconsistent. Exabeam, with its straightforward platform, provides primarily on-premises and cloud deployments. Its customer service is well-regarded but has room for improvement in response speed and efficiency.
Pricing and ROI: Splunk's pricing based on data ingestion can be costly, yet many users justify this due to high ROI through its capabilities. On the other hand, Exabeam's more flexible pricing model is seen as cost-effective while still delivering essential security analytics features, making it attractive for organizations seeking affordability without sacrificing functionality.
For smaller organizations, other products may provide better value for money.
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.
The technical support for Splunk met my expectations.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
These problems were not frequent, and the last six to eight months have been stable.
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.
An API with Microsoft Sentinel or a similar SIEM tool would be a good idea.
Splunk Enterprise Security would benefit from a more robust rule engine to reduce false positives.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
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 Splunk Enterprise Security's threat-hunting capabilities have been particularly useful in later releases.
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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