

Splunk Observability Cloud and Moogsoft compete in the IT monitoring and AIOps sector. Splunk seems to have the upper hand for large enterprises due to its strong feature set in monitoring and scalability.
Features: Splunk Observability Cloud offers comprehensive monitoring, real-time alerting systems, and seamless integration with tools like ServiceNow. Its real-time insights and user-friendly dashboards enhance utility and efficiency. Moogsoft excels in event management with robust AIOps capabilities, such as noise reduction and incident response, offering significant value through its incident management and correlation features.
Room for Improvement: Splunk Observability Cloud could improve log management, pricing transparency, and onboarding experience. Enhancements are needed in user interface design, agent deployments, and alerting efficiency. Moogsoft should refine noise feature optimization, enhance integration capabilities, and expand dashboard options. It also needs to improve machine learning capabilities and integration options.
Ease of Deployment and Customer Service: Splunk supports hybrid and on-premises deployments, offering flexibility for complex environments. Its customer service is responsive, though improvements in response times are needed. Moogsoft offers support but requires enhancements in integration and deployment ease, impacting smaller teams needing simpler implementations. Both solutions are suited for hybrid cloud environments.
Pricing and ROI: Splunk Observability Cloud is seen as expensive, with licensing based on data volumes, but it offers high ROI through enhanced operational performance. Moogsoft presents a cost-effective licensing model, benefiting cost-focused organizations. While Splunk's features justify its expense with significant ROI, Moogsoft's competitive pricing appeals to those seeking efficient incident management without high overheads.
ROI depends on how we integrate our IT operations with Moogsoft, as it can reduce our workload, downtime, and resolution time effectively, ultimately delivering better solutions based on mean time to resolution.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.
On a scale of 1 to 10, the customer service and technical support deserve a 10.
They have consistently helped us resolve any issues we've encountered.
They often require multiple questions, with five or six emails to get a response.
We've used the solution across more than 250 people, including engineers.
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
I would rate its scalability a nine out of ten.
Sometimes Moogsoft experiences stability issues due to bugs or internal problems, leading to downtime.
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Introducing machine learning and AI features would enhance Moogsoft, streamlining IT operations, incident detection, and response management.
I would like to see Moogsoft improve on coming up with some agentic solutions for whatever they have been able to automate.
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
There should be a solution to update OTeL agents from Splunk Observability Cloud itself.
If you compare Moogsoft's pricing with some of the other combined solutions, they are not very cheap, but I don't think they are at the top end of the market either.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.
Moogsoft offers various benefits, including incident response, reduced noise alert fatigue, increased availability and uptime, helping companies gain a better understanding of their IT environment, proactively addressing issues, and improving services.
The AIOps capabilities in Moogsoft, which it brings in with multiple data source support, are the most valuable features.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
| Product | Mindshare (%) |
|---|---|
| Splunk Observability Cloud | 2.1% |
| Moogsoft | 0.8% |
| Other | 97.1% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 10 |
| Large Enterprise | 53 |
Moogsoft is an advanced AI-driven platform that optimizes event correlation and reduces false positives in IT environments. Its integration with over 50 tools enhances diagnostic capabilities, consolidating alerts, and reducing noise, making it an essential tool for efficient incident management.
Leveraging AI, Moogsoft provides significant noise reduction and anomaly detection, enabling proactive IT system management. The Situation Room aggregates and correlates events, automating rule writing and analysis. Despite its complex initial setup and limited integration options, Moogsoft offers valuable features for maintaining system uptime and understanding IT environments. Users primarily seek improved integration with systems like ServiceNow, better multi-cloud support, and enhanced dashboard functionalities paired with frequent updates. Greater API interfacing and seamless data collection from external systems are also desired to enrich functionality.
What are the key features of Moogsoft?Moogsoft is implemented widely in network operations centers to filter alerts and improve IT service management efficiency. It is integrated with ServiceNow for enhanced event management and ticket conversion. Companies use Moogsoft as a manager of managers, fostering effective root cause analysis and event correlation crucial for network and storage monitoring, contributing to continuous service delivery.
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
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