Loom Systems vs Stackify comparison

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71% willing to recommend

Loom Systems

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Executive SummaryUpdated on Oct 9, 2024

Stackify and Loom Systems are competing products in the field of application performance monitoring and AI-driven IT operations analytics. Stackify is perceived as having advantages in pricing and support. However, Loom Systems appears superior in features, offering advanced predictive analytics, making it worth the investment.

Features: Stackify offers comprehensive application monitoring, error tracking, and logging capabilities, focusing on improving development and operational efficiency. Loom Systems provides AI-driven insights, predictive analytics, and empowers organizations to preemptively address issues and enhance system performance.

Room for Improvement: Stackify could enhance depth in its analytics, improve real-time data handling, and address minor interface usability concerns. Loom Systems might focus on streamlining its complex deployment process, expanding integration capabilities, and refining its user interface for simplicity.

Ease of Deployment and Customer Service: Stackify is praised for its straightforward deployment process and responsive customer service, ensuring a seamless onboarding experience. Loom Systems, while slightly more complex due to advanced configurations, provides robust support for troubleshooting, offering effective guidance throughout the deployment.

Pricing and ROI: Stackify offers a competitive and flexible pricing model, ensuring a good return on investment with lower initial setup costs. Conversely, Loom Systems demands a higher initial investment but justifies it with significant long-term ROI benefits through its proactive incident prevention features. Despite the initial costs, Loom Systems' advanced feature set can lead to greater cost efficiency in the long run.

To learn more, read our detailed Loom Systems vs. Stackify Report (Updated: March 2026).

Loom Systems 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

Loom Systems

Ranking in IT Infrastructure Monitoring

61st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (5th)

Stackify

Ranking in IT Infrastructure Monitoring

63rd

Average Rating

7.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (63rd), Log Management (58th)

Mindshare comparison

As of April 2026, in the IT Infrastructure Monitoring category, the mindshare of Loom Systems is 0.5%, up from 0.2% compared to the previous year. The mindshare of Stackify is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
Loom Systems	0.5%
Stackify	0.6%
Other	98.9%

IT Infrastructure Monitoring

Featured Reviews

Keerthi Kumar Sangaraju

Technology Manager at a tech services company with 10,001+ employees

Stable, easy to set up, flexible, and has multiple functionalities, but needs to define priority levels for each incident

What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority.

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Idoko Emmanuel

Senior Software Engineer at a tech services company with 1,001-5,000 employees

Has good filtering and rating features and helps with resource and load management

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.

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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 solution is very scalable; a company wouldn't have any issues expanding it if they needed to, and we have a few thousand users on the solution."

"What I like best about Loom Systems is that you can use it for infrastructure monitoring and that it's a flexible solution."

"Bringing Loom in ensures that the incident process, request process, change, all of these processes are improved."

"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."

"What I like best about Loom Systems is that you can use it for infrastructure monitoring. I also like that it's a flexible solution."

"The solution is absolutely scalable."

"The RFS portion of the solution is the product's most valuable feature."

"You can develop your own apps within Loom, and they can be configured very simply."

"It is very simple and very easy to configure."

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

"We switched from New Relic and Loggly as it provides us more info at a lower price."

"My advice to anyone who wants to use Stackify is to go for it because my experience with it is good."

"The deployment is very fast."

"The solution is stable and reliable."

"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."

More Stackify pros

Cons

"The change management within the solution needs to be improved. There needs to be more process automation."

"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"

"What's lacking in Loom Systems is the level of priority for each incident."

"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy, especially in the initial setup which can take six months of work, especially when you have a large estate that you're dealing with."

"The reporting is a bit weak. They should work to improve this aspect of the product."

"The reporting is a bit weak."

"What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority."

"It's not easy to set up. It's hard especially for juniors to understand."

"One thing that happens as a new user on Stackify is when you install the agent it pulls everything and if you're not careful, your log allowance will just be exhausted as you are actually pulling too much data."

"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."

"Another improvement would be the agent memory utilization, which led to our recent reevaluation."

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

"Better mobile support."

"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."

"The search feature could be improved."

More Stackify cons

Pricing and Cost Advice

Information not available

"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

No data available

Construction Company

17%

Comms Service Provider

14%

Media Company

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	2

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Product Reports

IT Infrastructure Monitoring

Download Loom Systems product report

Download Stackify product report

Overview

Loom Systems delivers an advanced AI-powered operational analytics platform to predict and prevent problems in the digital business. DevOps & IT teams use Loom for real-time detection and resolution for any type of application, including home-grown. Loom analyzes logs and metrics in all formats, performs smart correlations and root cause analysis to help organizations gain immediate into their environments. Loom stands alone in the industry as an AI platform requiring no prior math knowledge from its operators, leveraging your existing staff to succeed in the digital era. Getting started is easy - zero configuration and data pre-processing needed, so you can stream your data in its raw format.

ServiceNow

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

Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica

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

Loom Systems vs. Stackify