

Splunk Enterprise Security and Elastic Observability compete in the field of data analysis and monitoring solutions. Splunk appears to have an advantage due to its scalability, comprehensive analytics capabilities, and operational intelligence which add significant value to incident response and real-time monitoring.
Features: Splunk Enterprise Security offers advanced scalability, powerful search capabilities, and robust log management features. Its operational intelligence facilitates rapid search and incident response, providing flexibility for data handling and real-time monitoring. Elastic Observability is known for strong data analytics and search capabilities, with flexibility for integration with existing systems, offering a unified monitoring tool and customizable dashboards.
Room for Improvement: Splunk needs to improve operational workflows, usability within SOC environments, visualization, integration with security devices, user management, permissions, and simplify its documentation to ease the learning curve. Elastic can enhance predictive analytics, standardization of logging, configuration simplicity, customization, and hybrid environment support.
Ease of Deployment and Customer Service: Splunk provides excellent deployment flexibility in public and hybrid cloud environments with robust technical support, although consistency in support quality and response time could be improved. Elastic offers similar deployment versatility but faces challenges in ease of use primarily due to complexity in initial implementations. Both platforms ensure substantial support, with Elastic users needing more immediate and knowledgeable assistance.
Pricing and ROI: Splunk Enterprise Security tends to be more expensive but delivers considerable operational benefits and enhanced security, justifying its cost through significant ROI. Elastic Observability offers competitive pricing and strong value with its open-source elements and flexible licensing strategies, although its pricing model could benefit from more transparency. Both solutions deliver substantial ROI, contingent on enterprise needs and data volume.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
The documentation for Splunk Enterprise Security is outstanding. It is well-organized and easy to access.
We couldn't calculate what would have been the cost if they had actually gotten compromised; however, they were in the process, so every investment was returned immediately.
On average, my SecOps team takes probably at least a quarter of the time, if not more, to remediate security incidents with Splunk Enterprise Security compared to our previous solution.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
We have paid for Splunk support, and we’re not on the free tier hoping for assistance; we are a significant customer and invest a lot in this service.
I have had nothing but good experiences with Splunk support, receiving timely and helpful replies.
We've had great customer success managers who have helped us navigate scaling from 600 gigs to 30 terabytes.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Elastic Observability seems to have a good scale-out capability.
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
We currently rely on disaster recovery and backup recovery, which takes time to recover, during which you're basically blind, so I'm pushing my leadership team to switch over to a clustering environment for constant availability.
It is one of the things that separates it from other tooling, and if not, it is the most scalable solution out there.
We have found no negative impact from scaling.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Elastic Observability is really stable.
They test it very thoroughly before release, and our customers have Splunk running for months without issues.
Splunk has been very reliable and very consistent.
We need more SMEs, and there is no mechanism to tell us about indexer or search head issues.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
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.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable metrics such as number of users or amount of data.
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.
I find it to be affordable, which is why every industry uses it.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
Every integration, whether for Windows or Linux or even Palo Alto or Fortinet, installs the out-of-the-box dashboards along with it, making it easy to parse incoming data meaningfully and immediately start viewing dashboards to see what's happening in the platform.
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.
| Product | Mindshare (%) |
|---|---|
| Splunk Enterprise Security | 7.3% |
| Elastic Observability | 1.3% |
| Other | 91.4% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 135 |
| Midsize Enterprise | 74 |
| Large Enterprise | 320 |
Elastic Observability is known for its powerful search capabilities, central logging, and integration with cloud-native tasks. It enhances monitoring for applications and systems through its flexibility and machine learning features.
Elastic Observability is a robust tool offering end-to-end monitoring and performance analysis, widely utilized for application performance monitoring, centralized logging, and metrics collection. Kibana enables data visualization and connection of sources, while the platform aids in incident response with real-time insights. Despite its complex learning curve, limited customization, and licensing challenges, it remains valuable for businesses seeking to improve operational efficiency with additional support from log analytics and system automation.
What are the key features of Elastic Observability?A wide range of industries apply Elastic Observability for its capabilities in capturing significant data points to offer insights into business and technical performance. Its applications span log events, application monitoring, network protocol monitoring, and more, aiding in data-driven decision-making processes within sectors like IT, finance, and e-commerce.
Splunk Enterprise Security integrates diverse security tools and data sources to deliver real-time alerting and machine learning-driven threat detection. Its centralized log management and customizable dashboards enhance incident response and reporting capabilities.
Offering real-time threat detection and AI-driven insights, Splunk Enterprise Security centralizes log management while providing risk-based alerting and customizable dashboards. Organizations benefit from improved incident detection and resolution, alongside enhanced visibility and reporting. Integrations with third-party tools optimize threat management and reduce alert fatigue. Users note areas for improvement, expressing the need for enhanced API management, accurate data model alignment, and interface refinement. The platform's complexity and resource-intensive configuration are challenges, with community feedback seeking reduced false positives, improved correlation rules, and competitive pricing models.
What are the key features of Splunk Enterprise Security?Splunk Enterprise Security is actively used across industries for threat detection, phishing protection, and log aggregation. Organizations employ its capabilities for monitoring systems and incident response, particularly in Security Operation Centers for managing cybersecurity incidents. Features like correlation searches are vital for identifying threats and unusual behaviors, aiding in compliance and proactive monitoring of potential security risks. It's a critical tool for managing events and insights in corporate environments.
We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.