Splunk ITSI and Elastic Observability compete in IT monitoring and analytics. Elastic Observability seems to have the upper hand due to its comprehensive features and open-source flexibility.
Features: Splunk ITSI offers machine learning-powered anomaly detection, service monitoring, and customizable dashboards. Elastic Observability provides open-source flexibility, comprehensive logging, and seamless integration.
Room for Improvement: Splunk ITSI could improve its scalability and reduce resource consumption. Users suggest enhancements in Splunk ITSI's user interface. Elastic Observability needs enhancements in data visualization and more user training resources. Users mention Elastic Observability's complex initial setup as an area for improvement.
Ease of Deployment and Customer Service: Deploying Splunk ITSI is straightforward but time-consuming, with strong customer support. Elastic Observability's deployment is quicker, but its initial setup can be complex. Elastic's customer service receives mixed feedback compared to Splunk ITSI.
Pricing and ROI: Splunk ITSI has high setup costs, with justified ROI due to its functionality and support. Elastic Observability, despite higher initial costs, delivers better ROI due to its features and open-source nature.
Elastic support really struggles in complex situations to resolve issues.
The technical support is excellent, and I would rate it at ten.
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.
What is not scalable for us is not on Elastic's side.
Splunk is highly scalable, with the ability to expand efficiently.
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.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
The setup, however, must be done correctly as incorrect deployment can lead to 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.
I would appreciate additional features in the next release of Splunk ITSI (IT Service Intelligence) such as cloud infrastructure monitoring including CICDs, Kubernetes, and similar technologies.
Splunk ITSI could benefit from including more features that other solutions support, such as vulnerability management modules.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
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.
Splunk ITSI tends to be more expensive compared to some open-source solutions.
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.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
The predictive analysis can give you proactive information about potential bottlenecks that can occur on applications, desk, storage, SQL servers, databases, or other systems.
Splunk ITSI allows for integration with threat intelligence, enabling my organization to correlate more than two events for generating alerts.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 3.9% |
| Splunk ITSI (IT Service Intelligence) | 0.7% |
| Other | 95.4% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 9 |
| Large Enterprise | 32 |
Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.
Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.
What are the most important features of Elastic Observability?Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.
Splunk IT Service Intelligence (ITSI) is a powerful analytics-driven monitoring and analytics solution that provides real-time insights into the health and performance of IT services.
It enables organizations to proactively identify and resolve issues, optimize service delivery, and improve overall IT operations. With its advanced machine learning capabilities, ITSI automatically detects anomalies, predicts future events, and prioritizes alerts based on business impact.
The solution offers a centralized view of IT services, allowing users to visualize and analyze data from multiple sources in a single dashboard. ITSI also provides customizable KPIs, service-level agreements (SLAs), and key performance indicators (KPIs) to measure and track service performance.
With its intuitive interface and powerful analytics capabilities, Splunk ITSI empowers IT teams to deliver reliable and efficient services, ensuring maximum uptime and customer satisfaction.
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