Splunk Enterprise Security and Amazon CloudWatch both operate in the realm of IT monitoring and security management. Splunk appears to have an edge due to its advanced data manipulation capabilities and comprehensive feature set for structured and unstructured data analysis.
Features: Splunk Enterprise Security offers comprehensive log management, rapid search capabilities, and flexible data ingestion from various sources. It enables proactive incident response through its operational intelligence and schema-on-read technology combined with its versatile Search Processing Language (SPL). Its customizable dashboards are highly appreciated for supporting complex data analysis. On the other hand, Amazon CloudWatch excels in integration with AWS services, infrastructure monitoring, and real-time alerting in AWS-centric environments, though it lacks Splunk's advanced data handling capabilities.
Room for Improvement: Splunk could benefit from refining its visualization, cluster management, and GUI options along with enhancing user access control for more granular permissions. Its documentation and associated training costs warrant attention. Amazon CloudWatch could enhance capabilities in real-time data monitoring, improve dashboard customization, and offer better integration with third-party tools. An intuitive user interface and improvements in alert configuration would also add value.
Ease of Deployment and Customer Service: Splunk provides deployment flexibility across on-premises, public, and hybrid environments and is well-suited for complex enterprises. Its support staff are knowledgeable, though some users report inconsistent support quality. CloudWatch, primarily aligned with AWS environments, is well integrated within the AWS ecosystem but is less tailored for multi-cloud scenarios. While support is generally adequate, setup documentation could be enhanced.
Pricing and ROI: Splunk is costly, suited for enterprises with significant budgets, and offers substantial ROI by enhancing security operations and business insights. However, managing data ingestion is crucial to control costs. Amazon CloudWatch provides a competitive pay-as-you-go model often bundled with AWS services, offering cost efficiency in AWS-focused setups, though costs may rise with increased data use.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
Splunk's cost is justified for large environments with extensive assets.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
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.
Amazon CloudWatch's scalability is managed by AWS.
It is easy to scale.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
It provides a stable environment but needs to integrate with ITSM platforms to achieve better visibility.
It is very stable.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage.
Splunk Enterprise Security would benefit from a more robust rule engine to reduce false positives.
What Splunk could do better is to create an API to the standard SIEM tools, such as Microsoft Sentinel.
Data retention can be better. If we want to look at the data for five months or six months, that is not available to us. We only have a history of 20 or 30 days.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
The platform requires significant financial investment and resources, making it expensive despite its comprehensive features.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
Splunk is priced higher than other solutions.
Being an inbuilt solution from AWS, it saves time on installation, setup, and maintenance.
I like its filtering capability and its ability to give the cyber engine insights.
This capability is useful for performance monitoring and issue identification.
They have approximately 50,000 predefined correlation rules.
Splunk Enterprise Security's most valuable features are its stability and the robust Splunk Search Processing Language.
Amazon CloudWatch is used for monitoring, tracking logs, and organizing metrics across AWS services. It detects anomalies, sets dynamic alarms, and automates actions to optimize cloud utilization, troubleshoot, and ensure service availability.
Organizations leverage Amazon CloudWatch for collecting and analyzing logs, triggering alerts, and profiling application performance. It's also employed for monitoring bandwidth, virtual machines, Lambda functions, and Kubernetes clusters. Valuable features include seamless integration with AWS, real-time data and alerts, detailed metrics, and a user-friendly interface. It provides robust monitoring capabilities for infrastructure and application performance, log aggregation, and analytics. Users appreciate its scalability, ease of setup, and affordability. Additional key aspects are the ability to create alarms, dashboards, and automated responses, along with detailed insights into system and application health. Room for improvement includes dashboards and UI enhancements for better visualization and customizability, log streaming speed, advanced machine learning and reporting capabilities, pricing, and integration with non-AWS services and databases. Users also seek more real-time monitoring and comprehensive application performance features, and simpler alerts and configuration processes.
What are the most important features?
What benefits and ROI can users expect?
Amazon CloudWatch is implemented across a range of industries, including technology, finance, healthcare, and retail. Technology firms use it to monitor application performance and traffic, while financial organizations leverage it for ensuring compliance and system reliability. Healthcare entities rely on it for maintaining service availability and monitoring data flow, and retail companies utilize it for tracking customer interactions and optimizing server usage.
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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