Splunk Observability Cloud and Moogsoft compete in the observability and AIOps domain. Based on feature set and user feedback, Splunk has the upper hand in environment integration and data visualization, while Moogsoft excels in AI-driven incident management.
Features: Splunk Observability Cloud offers comprehensive monitoring capabilities, customizable dashboards, and robust log searching. It provides security insights and integrates well with multiple environments, making it versatile for various scenarios. Moogsoft focuses on AI-driven event management, enhancing its ability to filter noise and provide actionable insights. Its platform is user-friendly, supporting easy management of IT incidents and alerts.
Room for Improvement: Splunk Observability Cloud could enhance its integration with additional tools, increase scalability, and offer a more intuitive UI for application performance monitoring. Users express concerns over high costs and suggest better pricing models. Moogsoft could improve its integration capabilities, refine dashboard features, and increase the frequency of updates to its machine learning functionalities to enhance service responsiveness.
Ease of Deployment and Customer Service: Splunk Observability Cloud is noted for supporting on-premises, public, and hybrid cloud deployments, offering significant flexibility. Customer service is satisfactory but has room for faster response times. Moogsoft supports various deployment environments and emphasizes the need to enhance service integration and improve customer support responsiveness.
Pricing and ROI: Splunk Observability Cloud's pricing is considered high, often requiring negotiation, but many attest to a positive ROI due to enhanced operational visibility. Moogsoft provides a more cost-effective model, especially beneficial for environments with large data volumes, making it a preferred choice for organizations seeking both cost-effectiveness and robust AI capabilities.
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.
They often require multiple questions, with five or six emails to get a response.
Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea.
They did respond to us, but they did not explicitly inform us about the feature's absence.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability a nine out of ten.
The issue is mainly about pricing because if they want to monitor more, it costs money.
Sometimes Moogsoft experiences stability issues due to bugs or internal problems, leading to downtime.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
Introducing machine learning and AI features would enhance Moogsoft, streamlining IT operations, incident detection, and response management.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It appears to be expensive compared to competitors.
Splunk is a little expensive, however, it is in line with the current market pricing.
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.
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.
Moogsoft is an AI-based solution that ensures continuous availability and prevents downtime by utilizing machine learning and advanced correlation on your organization’s stack. Moogsoft detects incidents before they can escalate, notifies the proper response teams, and applies machine learning in order to understand patterns to help prevent similar issues in the future.
Moogsoft sits on top of an organization’s production stack and extends across automation, service management, log indexing, and notification tools. Algorithmic Noise Reduction automatically reduces event volumes to unique alerts without relying on rules, filters, or models. This enables teams to analyze all monitoring ecosystem events with no noise and no blind spots.
With Moogsoft extensive integration options, users can aggregate all their observable data into a single location and create automated workflows to detect and remediate incidents in third-party systems, ensuring their system remains unharmed. Moogsoft’s anomaly detection tools detect incidents as they emerge, allowing security teams to respond swiftly before they impact customers.
Teams can easily set up their own integrations using Moogsoft’s REST API and webhook. The solution provides guidance for each step, allowing users to import data from whatever tool they need with just a few mouse clicks.
Some of Moogsoft’s top features and benefits include:
Reviews from Real Users
Moogsoft stands out among its competitors for a number of reasons. A few major ones are its monitoring tools, its user-friendly interface, and its strong AI capabilities.
Vivek S., an O&M Lead at a communications service provider, writes, “The most valuable feature is the monitoring manager. Different components and different monitoring tools integrate with and send data to Moogsoft.
This is a user-friendly solution. It is very easy and very comfortable to use, with everything available on a single screen.
The AI component allows you to check previous cases and diagnose problems easily. It will show you what happened last time the same event occurred.”
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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