

Moogsoft and Devo compete in data management and IT operations analytics. Moogsoft leads in incident management with automation, while Devo excels in data aggregation and diverse source integration.
Features: Moogsoft provides real-time incident detection, uses machine learning for automated event correlation, and integrates multiple monitoring tools to centralize operations. Devo, however, offers robust log management, real-time data analysis, and multi-tenant data integration that supports varied data sources efficiently.
Room for Improvement: Moogsoft could enhance its update frequency and cloud integration. It may benefit from improving task separation for better alert management and more adaptive AI features. Devo might need better training for users to maximize complex query capabilities, reduce search delays during high-volume data retrieves, and provide more intuitive dashboards for non-technical users.
Ease of Deployment and Customer Service: Moogsoft simplifies deployment with quality customer support, ensuring rapid use. Devo emphasizes post-deployment support, assisting adaptation and ongoing operations effectively. Moogsoft suits those seeking quick setup, while Devo is better for in-depth customer support needs.
Pricing and ROI: Moogsoft's competitive setup costs cater to operational efficiency and reduced downtime, boosting ROI. Devo may have higher initial costs but justifies them with enhanced data insights and analytics, potentially offering greater long-term returns. Moogsoft appeals to those with lower budgets, while Devo attracts those prioritizing detailed data functionalities.
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.
Sometimes Moogsoft experiences stability issues due to bugs or internal problems, leading to downtime.
Integrations with other sandboxes could be improved to better interpret data using AI and machine learning models.
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.
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.
When they see a spike in a line chart for a failed login, which could be a true or false attempt, they can click that spike, and a table widget on the same active board instantly populates with raw logs of data for those specific failed logins.
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.
| Product | Market Share (%) |
|---|---|
| Moogsoft | 3.7% |
| Devo | 3.8% |
| Other | 92.5% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
Devo is the only cloud-native logging and security analytics platform that releases the full potential of all your data to empower bold, confident action when it matters most. Only the Devo platform delivers the powerful combination of real-time visibility, high-performance analytics, scalability, multitenancy, and low TCO crucial for monitoring and securing business operations as enterprises accelerate their shift to the cloud.
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.”
We monitor all IT Operations Analytics 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.