Splunk Enterprise Security and Splunk AppDynamics both operate within the IT operations and security management sector. Splunk Enterprise Security appears to lead in security management, while AppDynamics tends to excel in application performance monitoring.
Features: Splunk Enterprise Security offers robust security monitoring, threat detection, and incident reporting capabilities. It integrates seamlessly with various security tools to serve as a central analysis hub. AppDynamics stands out with application performance and user experience monitoring, providing detailed insights into application loads and transaction analytics.
Room for Improvement: Splunk Enterprise Security could enhance its cost-effectiveness and simplify its advanced data analytics features to better compete with other solutions. Additionally, improving its interface could benefit users. AppDynamics might benefit from enhanced predictive analytics capabilities and more efficient resource consumption. It could also increase its adaptability with diverse network environments.
Ease of Deployment and Customer Service: Splunk Enterprise Security is known for a straightforward deployment with comprehensive guides and responsive customer support. AppDynamics shares a reputation for an intuitive setup and integration process, supported by its extensive resources. Both solutions offer strong customer support, though Splunk is recognized for its prompt assistance.
Pricing and ROI: Splunk Enterprise Security generally involves a higher upfront cost, but it is considered an investment given its depth in security management. Conversely, AppDynamics is more budget-friendly, offering a faster ROI due to its application performance focus. Users often find AppDynamics’ pricing more aligned with its operational benefits.
It's very hard to find ROI because we are currently focused only on the on-premises applications.
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.
AppDynamics is much more helpful.
We got a contact, an account manager, to work directly with for technical support.
The customer service and support are helpful and responsive.
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.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
I did not find any Docker solution available with it, and a separate instance has to be installed.
We have tried it with a maximum of 500 concurrent users, and it provided all the required information.
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.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
I can rate it nine out of ten.
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.
Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
A good integration with Splunk would be very interesting, as Splunk is a good product for logs, and that part is currently missing in Splunk AppDynamics.
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.
Customers have to pay a premium price, however, they receive considerable value from the product.
All these solutions at the moment are cheap, but it is like paying for insurance; you pay insurance to avoid major damage.
We find its pricing reasonable and competitive.
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.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows.
What I like the most about Splunk AppDynamics is the end-to-end observability for the application, along with traces.
The baseline of all metrics in the Splunk AppDynamics database is very interesting. It can send alarms or alerts when the database baseline is not correct.
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.
Splunk AppDynamics enhances application performance monitoring with advanced diagnostics and real-time insights, offering seamless end-to-end transaction tracking and infrastructure visibility.
AppDynamics provides critical tools for businesses to analyze application behavior and performance. Through innovative features like transaction snapshot analysis and adaptable dashboards, users can quickly identify and address issues, ensuring high levels of system uptime and efficiency. It is designed to support complex environments including Kubernetes and AWS, enhancing user experience by detecting performance issues early. Despite needing improvements in network monitoring and integration, it remains a robust option for tracking application health.
What are the key features of AppDynamics?In industries like financial services and e-commerce, AppDynamics facilitates performance tracking across distributed systems, optimizing infrastructure to meet consumer demands. It excels in environments needing precise transaction monitoring and is pivotal in delivering high value and satisfaction.
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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