Moogsoft vs Stackify comparison

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Moogsoft

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Executive SummaryUpdated on Apr 6, 2025

Stackify and Moogsoft compete in application performance monitoring and IT incident management. Moogsoft often has the upper hand with its advanced anomaly detection and incident reduction capabilities.

Features: Stackify provides real-time application performance management, error tracking, and centralized logging, ideal for application diagnostics. Moogsoft specializes in AI-driven incident management, proactive anomaly detection, and collaborative incident response, aiding operations teams in complex environments.

Room for Improvement: Stackify could enhance its scalability features and expand its integration capabilities with non-developer environments. It may also benefit from improved user interface customization. Moogsoft might focus on more intuitive setup processes and offer more frequent updates. Providing a fully in-house hosted solution can also be an area for improvement.

Ease of Deployment and Customer Service: Stackify is straightforward to deploy, with seamless integration into development environments and strong customer support simplifying setup for developers. Moogsoft's complex deployment suits large infrastructures, supported by responsive customer service and comprehensive onboarding resources.

Pricing and ROI: Stackify offers cost-effective solutions focusing on high ROI for small to medium businesses, aiding rapid problem resolution. Moogsoft may have higher setup costs due to advanced capabilities but provides significant long-term savings through incident reduction and efficiency improvements, appealing to larger enterprises seeking comprehensive IT solutions.

To learn more, read our detailed Moogsoft vs. Stackify Report (Updated: April 2025).

Moogsoft vs. Stackify

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Moogsoft

Ranking in IT Infrastructure Monitoring

31st

Average Rating

7.6

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

IT Operations Analytics (9th), AIOps (13th)

Stackify

Ranking in IT Infrastructure Monitoring

58th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (63rd), Log Management (62nd)

Mindshare comparison

As of May 2025, in the IT Infrastructure Monitoring category, the mindshare of Moogsoft is 1.0%, down from 1.4% compared to the previous year. The mindshare of Stackify is 0.3%, down from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring

Featured Reviews

Michael Wenn

CEO / Co-Founder at Aiops ltd

Provides strong event correlation features, but its initial setup should be made easier

The solution's integrations are out of the box, and it is easy to integrate the tool with many technologies through its APIs. Moogsoft is always deployed on the cloud. Since it's a SaaS-based solution, it's cloud-delivered but also deploys to a hybrid or on-premises situation. The solution attaches itself to any environment size, but it's delivered via SaaS. The solution has room for improvement, but it's a pretty good technology. It does very well in delivering a big impact for businesses. Now, since it's owned by Dell and has the financial backing, it'll go from strength to strength. It's built by two very experienced co-founders who have used this type of technology before and were very much ahead of the curve. I'm still implementing the solution, and it is a platform that can deliver to something as big as HSBC. Overall, I rate the solution a seven out of ten.

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Moses Arigbede

Head of DevOps at Partsimony

Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure

They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The tool's event correlation and AI are its strongest parts."

"The AI component allows you to check previous cases and diagnose problems easily."

"The solution is extremely helpful with correlating IP failures and it has a very good sort of flow chart of IP systems. For example, if you see a failure in system A, you can track it down to the system causing the issue. This is a very handy feature."

"Moogsoft's most valuable features are event management, correlation, and observability."

"The Event Management feature is quite valuable."

"Incident management is streamlined with Moogsoft. One standout feature is its unique situation-creation capability, differentiating it from other fault management tools. While other tools typically convert alarms directly into tickets or incidents, Moogsoft adds a middle layer where multiple alarms can be aggregated into one incident. Moogsoft's strong AI capabilities also allow it to correlate similar alarms automatically based on past experiences."

"Moogsoft AIOps integrates seamlessly with 50-plus IT monitoring, automation, service management, notification, and collaboration tools. It also provides a great and easy-to-use interface for observing."

"I find the unsupervised learning algorithms for noise reduction particularly valuable. The algorithm's ability to identify and reduce noise is a feature we initially liked. The anomaly detection feature is excellent for maintaining system uptime as it helps identify problems quickly."

More Moogsoft pros

"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."

"The performance dashboard and the accurate level of details are beneficial."

"The solution is stable and reliable."

"The deployment is very fast."

Cons

"The unsupervised learning algorithms in Moogsoft are valuable, but the learning processes, run book creation, and neural feedback areas could be improved."

"The tool needs to improve its support. It appears that the support responsiveness from Moogsoft is not aligned with the severity of the incident. Instead of proactively addressing issues, customers have to chase Moogsoft for resolution. In Moogsoft, unlike other tools like Splunk, the process follows a step-by-step sequence. You need to start each process in a specific order, typically following a sequence."

"They are very much dependent on open-source technologies like RabbitMQ message bus. They are using open-source databases, Apache Tomcat, NGINX. If we face any issues with Apache Tomcat or the RabbitMQ message bus, then we do not get support from them. We have to troubleshoot it ourselves."

"Some additional API interfacing would be great to enable getting the data out of AIOps programmatically."

"The product roadmap doesn't align with our roadmap."

"Moogsoft is dependent on external products to do orchestration and SOP-based functionality."

"The solution's initial setup is complex, and it should be made easier."

"I would like to see additional reports or information on the dashboard that includes metrics about CPU usage and memory."

More Moogsoft cons

"I would like to be able to see metrics about individual running containers on the host machines."

"The search feature could be improved."

"It should be easily scalable and configurable in different instances."

"I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into. In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information."

Pricing and Cost Advice

"As for pricing, Moogsoft recently updated their pricing model, and we're still evaluating it. It's an area where clarity is needed with the new alert-based pricing model."

"The solution is very good from a business impact point of view, but it's quite expensive because it's an enterprise-grade solution."

"It's a very cost-effective and competitive product."

"When compared to other solutions, it is quite good."

"Moogsoft's licensing is consumption-based, so the price may increase depending on the environment."

"The price is variable. It depends on how much data we have received in that particular month. Usually, it goes up to $2,000, or, at times, $3,000 USD per month."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

15%

Manufacturing Company

Comms Service Provider

Financial Services Firm

19%

Computer Software Company

16%

Media Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Moogsoft?

Incident management is streamlined with Moogsoft. One standout feature is its unique situation-creation capability, differentiating it from other fault management tools. While other tools typically...

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What is your experience regarding pricing and costs for Moogsoft?

I don't know about pricing.

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What needs improvement with Moogsoft?

The product roadmap doesn't align with our roadmap. We need more frequent updates and a total in-house hosted solution. They need to enhance the admin module, provide more analytics capabilities, a...

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Compared 10% of the time

Datadog vs Moogsoft

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Compared 42% of the time

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Compared 41% of the time

Splunk Enterprise Security vs Stackify

Compared 17% of the time

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Product Reports

Moogsoft

Download Moogsoft product report

Download Stackify product report

Overview

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:

Alert noise reduction: By automatically applying statistical calculations and noise-reduction technologies to its alert data, Moogsoft eliminates unnecessary noise. This makes it easier to spot anomalies and alert only for important warnings.
Correlation: The Moogsoft correlation methods analyze alerts to identify common ground across incidents and events. With Moogsoft’s sophisticated visualization tools, users can view patterns by location, source, or service.
Anomaly detection: Moogsoft is designed to automatically reduce data, helping make anomalies more visible to security teams. Together with Moogsoft’s correlation abilities, it is simple to detect the probable root cause of issues that arise.
Custom integrations: Integrating with Moogsoft is seamless. Moogsoft’s REST API and webhooks allow developers to easily retrieve and update data and launch events. Integrations enable full visibility to ensure that apps and services are continuously running.
Collaboration: Moogsoft provides easy integration options with existing collaboration tools such as Microsoft Teams, PagerDuty, or Slack, allowing team members to gain visibility into the big picture of any incident that arises. No matter what their defined role in the organization is, everyone on the DevOps team can immediately step in when needed.
Data enrichment: Multidomain enrichment data added as context with ingested alerts provide teams with important information on incidents, such as location, department, business relationships, and escalation processes. All data is imported from configuration database management systems, asset management databases, and discovery systems.
User-friendly interface: Moogsoft’s intuitive interface provides users with full step-by-step support. This includes videos and tutorials for all user levels.

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.”

Dell Technologies

Stackify is an application performance management (APM) solution that combines application performance monitoring with logs, errors, and reporting. It is a SaaS solution that is developer-focused. Users can quickly scan, identify, and repair issues with applications. Stackify APM offers valuable tools, such as Prefix and Retrace, which help to make it a comprehensive and valuable APM solution. Stackify is now part of the Netreo family of IT Infrastructure Management (ITIM), which is considered one of the fastest-growing IT organizations in the marketplace today.

Stackify Prefix

Stackify Prefix helps developers write better code, faster. The tool examines, tests, and approves code as it is being written. Almost every new application is code-perfect, negating the need for exhausting troubleshooting and frustrating time-consuming code review.

Prefix is able to discover poor-performing SQL queries, ORM queries, potential bottlenecks, and concealed exceptions prior to moving the application into production.

Prefix offers Summary Dashboards, intuitive suggestions, integrated logs, and distributed tracing. Distributed tracing expands visibility to cloud-native applications, microservices, and containers and can also provide additional transparency to cache services, web services, third-party services, and more. Users are able to easily move from logs to traces and back.

This valuable tool ensures developers are able to consistently release the best code possible in the least amount of time, while improving performance, productivity, and profitability.

Prefix is a very robust and easy-to-use tool. It can be used seamlessly with Linux, macOS, and Windows. Prefix integrates well with numerous languages, such as Java, Python, Ruby, PHP, Node.js, .Net, and .Net Core.

Stackify Retrace

Stackify Retrace is a user-friendly, trusted APM solution used in more than fifty countries worldwide. Users know that Retrace is able to ensure they can complete quicker, more efficient application development and consistently enhance overall application performance by suggesting important intuitive suggestions users need.

This solution is beneficial to both developers (Dev) and operations (Ops) personnel to learn to improve code and immediately finetune issues by:

Establishing effortless collaboration between Dev and Ops personnel via an easy-to-use GUI dashboard.
Delivering complete transparency of all stages of the application development process, from pre-development to production.
Utilizing performance protocols, such as error tracking, application logs, and code profiling, in real time in order to thoroughly understand how long a code will take to complete various tasks.
Improving overall efficiency and productivity by immediately discovering and repairing application issues.

Retrace Real User Monitoring (RUM) uses both front-end and back-end monitoring to give users a complete picture of what is going on with the applications. This intuitive dashboard displays performance with a complete breakdown of resource usage and integrates the server-side and client traces into one engaging, user-friendly, extensive view.

Retrace is an out-of-the-box solution that works seamlessly with Java stacks, PHP, Node.js, Ruby, Python, .Net, and .Net Core. It is also compatible with many of today’s popular frameworks, such as AWS, Azure, Elasticsearch, MongoDB, MySQL, Oracle, PostgreSQL, Redis, and SQL Server. Additionally, Retrace will work effectively with many cloud providers, containers, and languages, and offers excellent and easy integration with today's favorite tools such as Jira, Slack, Jenkins, and more.

Sample Customers

RetailNext

MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion

Moogsoft vs. Stackify