Moogsoft and Loom Systems compete in the IT operations management space. Loom Systems generally holds the advantage due to its advanced features, while Moogsoft is stronger in pricing and customer service.
Features: Moogsoft is recognized for its machine learning capabilities enhancing incident management and automation while also supporting integrations with IT monitoring and service management tools. It provides a user-friendly interface and efficient prediction features. Loom Systems is strong in predictive analytics, offering real-time insights into IT environments, and distinguishes itself with deep data analysis and proactive monitoring.
Room for Improvement: Moogsoft requires enhancements in update frequency and needs better alignment with in-house hosted solutions. Its move to cloud functionalities can sometimes misalign with customer needs. Additionally, ensuring more frequent updates could enhance its usability. Loom Systems could improve in pricing transparency and reducing initial costs. More personalized customer training and support could also strengthen its user adoption journey.
Ease of Deployment and Customer Service: Moogsoft offers cloud-based deployment with comprehensive support, making integration smoother. Its customer service responsiveness is a highlight. Loom Systems also offers cloud solutions but stands out for its detailed documentation and streamlined implementation processes, ensuring efficient deployment.
Pricing and ROI: Moogsoft presents competitive pricing and a clearer path to ROI with lower upfront costs, which attracts cost-conscious buyers. Loom Systems has higher initial costs, but its enhanced analytics capabilities and long-term benefits lead to a perception of higher ROI.
| Product | Market Share (%) |
|---|---|
| Moogsoft | 0.9% |
| Loom Systems | 0.3% |
| Other | 98.8% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
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 Infrastructure Monitoring 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.
