Splunk Enterprise Security and ScienceLogic compete in the IT operations management category. Splunk appears to have the upper hand due to its advanced analytics and real-time security capabilities, whereas ScienceLogic focuses on comprehensive monitoring and AIOps automation.
Features: Splunk Enterprise Security features impressive data collection, rapid data search using SPL, and flexible visualization. Its capability to manage compliance through extensive machine data integration supports robust security monitoring. ScienceLogic provides diverse infrastructure and application monitoring, public cloud capabilities with comprehensive topology mapping, and automation with AIOps, ensuring extensive integration for client customization.
Room for Improvement: Splunk requires improvements in simplifying complex configuration, enhancing documentation, and establishing better pricing models for scalability and third-party app integration. ScienceLogic should focus on improving API integrations, reporting capabilities, and interface ease to reduce complexity in large-scale implementations.
Ease of Deployment and Customer Service: Splunk offers on-premises and cloud deployment options for versatile infrastructure needs, supplemented by a strong support community although direct support may vary. Whereas, ScienceLogic's hybrid and on-premises solutions provide comprehensive monitoring but occasionally face support delays. Both platforms offer superior deployment flexibility with varying service experiences contingent on technical demands.
Pricing and ROI: Splunk's pricing is volume-based, leading to a high cost-of-entry, yet it yields significant ROI through its advanced analytics and security features. Whereas ScienceLogic's pricing is scalable, based on devices and storage, but can become costly with extensive data needs, offering competitive costs and excellent value for its capabilities. Both solutions effectively deliver enhanced operational oversight.
The return on investment is fair but often challenged by medium-sized businesses who may question its adequacy.
The documentation for Splunk Enterprise Security is outstanding. It is well-organized and easy to access.
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.
Problems with Skylar may require longer wait times due to limited resource expertise.
I received excellent support from ScienceLogic.
We have a lab environment to test solutions before offering them to customers, ensuring everything works correctly.
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.
Stability should relate to whether the platform fails, stops working, or breaks.
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.
I would rate it a ten out of ten for stability.
While some other companies have easier APIs, using this solution demands significant expertise.
If the knowledge for implementation could be spread through articles, it would reduce this dependency.
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
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.
For any future enhancements or features, such as MLTK and SOAR platform integration, we need more visibility, training, and certification for the skilled professionals who are working.
It could be cheaper.
ScienceLogic is not that expensive and is cost-effective overall.
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.
Notably, its automation features, such as Runbook action, enable domain experts like me to execute one-click automation solutions, which contributes significantly to reducing MTTR.
The solution excels in three areas: application monitoring, server monitoring, and network performance monitoring.
The CMDB update and the automatic CMDB update are valuable.
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.
Splunk Enterprise Security provides the foundation for unified threat detection, investigation, and response, enabling fast identification of critical issues.
ScienceLogic is a comprehensive IT infrastructure monitoring solution that supports networks, servers, cloud environments, and applications, suitable for private cloud and on-premises deployments.
Organizations leverage ScienceLogic for its robust capabilities in monitoring IT infrastructures of all sizes. It offers granular discovery, integration with CMDB, and ticketing systems. Valued for its flexibility, incident automation, remediation, and real-time relationship mapping, it supports hybrid environments with scalable and efficient monitoring functionalities. AI and machine learning enhance its feature set, while ease of deployment and strong support are crucial benefits.
What are ScienceLogic's most important features?ScienceLogic is implemented across multiple industries, including large enterprises, for its capability to handle complex IT ecosystems. Its integration with CMDB and ticketing systems ensures it fits within existing workflows. Organizations use it to monitor diverse infrastructure landscapes, ensuring seamless performance and quick incident resolution.
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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