BigPanda vs Stackify comparison

BigPanda and Stackify are both solutions in the IT Infrastructure Monitoring category. BigPanda is ranked #28 with an average rating of 7.9, while Stackify is ranked #63. BigPanda holds a 0.6% mindshare in IM, compared to Stackify’s 0.6% mindshare. Additionally, 84% of BigPanda users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

BigPanda

Read 19 BigPanda reviews

2,768 Views
1,384 Comparison Views

84% willing to recommend

Stackify

Read 6 Stackify reviews

1,670 Views
752 Comparison Views

71% willing to recommend

BigPanda

Stackify

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

Stackify and BigPanda are competitors in the IT monitoring and analytics market. BigPanda has an advantage due to its extensive features designed for large enterprises, while Stackify stands out in cost-effectiveness.

Features: Stackify offers application performance monitoring, logging, and error tracking, making it ideal for small to mid-sized enterprises. It provides seamless integration with development environments and robust reporting tools. BigPanda provides incident management, noise reduction, and automated root cause analysis, suiting large-scale operations. It supports complex IT environments with advanced analytics and comprehensive dashboard capabilities.

Room for Improvement: Stackify could improve its scalability and integration with more enterprise tools, and expand its alerting features for greater customization. BigPanda needs to simplify the initial setup process and improve usability for less technical users. Enhancing its cost optimization features would also be beneficial.

Ease of Deployment and Customer Service: Stackify is straightforward to set up and provides quick integration with its responsive customer support. This allows businesses a rapid deployment experience. BigPanda, while more complex to deploy, offers robust service support, guiding enterprises to tailor their setup to specific needs effectively.

Pricing and ROI: Stackify's pricing model is budget-friendly, making it attractive for businesses looking for immediate ROI. It offers a range of subscription tiers fitting various budgetary needs. BigPanda requires a higher initial investment but delivers considerable long-term benefits, especially for growth-focused enterprises aiming for scalability and advanced data analytics capabilities.

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

Buyer's Guide

BigPanda vs. Stackify

March 2026

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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

BigPanda

Ranking in IT Infrastructure Monitoring

28th

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

IT Alerting and Incident Management (9th), AIOps (12th)

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 BigPanda is 0.6%, down from 1.0% 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 (%)
BigPanda	0.6%
Stackify	0.6%
Other	98.8%

IT Infrastructure Monitoring

Featured Reviews

Michael Wenn

CEO / Co-Founder at Aiops ltd

Automated incident workflows have reduced alert noise and now improve response efficiency

In my opinion, the best feature of BigPanda is its speed in terms of deployment. It has very strong integration with all of the major platforms and workflows that organizations need. The biggest customers are enterprises like HSBC and Barclays. Implementing something effective for them that dramatically reduces meantime to repair and the number of incidents is substantially difficult, as projects can often extend three years with very small results. BigPanda is different; it is a tool relied on by many enterprises, fitting over existing toolsets rather than trying to replace them, which makes it non-competitive to many existing alerts and monitoring tools. It enhances existing systems to provide actionable intelligence for business solutions.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"The main thing that we like about BigPanda is the user interface."

"The most useful feature has been the AI/ML, and the way BigPanda uses the AI/ML is good compared to other SRE tools."

"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."

"The most valuable features of BigPanda include event deduplication, correlations, and enrichment, which reduce the noise in the environment."

"Easy integration - We've had challenges in the past integrating all of our various monitoring sources and tools into one central system. BigPanda, with the integrations that it already has, as well as offering webhook/REST API, has made it very easy for us to plug everything in."

"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."

"The solution is user-friendly and has good performance and certification."

"I rate BigPanda nine out of ten."

More BigPanda pros

"The solution is stable and reliable."

"Within few hours of install we've identify the source of issue we've been investigating for few days and couldn't pin point."

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

"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."

"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."

"What stood out to us were the metrics and granular details we received."

More Stackify pros

Cons

"We had to use a partner for the deployment."

"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."

"The cost of this product is too high compared to New Relic."

"The solutions were quite useful but not completely stable."

"BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage."

"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline."

"Analytics is an area for improvement, being able to break down the actions that are being taken by users of BigPanda, as well as the auto-magical work that is being done by BigPanda."

"The planned maintenance feature in BigPanda needs enhancements due to its limited scheduling options."

More BigPanda cons

"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."

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

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

"Better mobile support."

"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."

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

"I'm looking to see more performance tools, but heard that they are going to release some."

"The search feature could be improved."

More Stackify cons

Pricing and Cost Advice

"We pay $200,000 USD per year."

"BigPanda is cheaper than the competitors."

"The price of BigPanda is in the middle compared to other solutions."

"They were great to work with on pricing/licensing. Given we are a high-growth company, we needed a flexible site license."

"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

24%

Manufacturing Company

Healthcare Company

Retailer

Construction Company

17%

Comms Service Provider

14%

Media Company

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	11

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

Questions from the Community

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

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What do you like most about BigPanda?

One of the most valuable features of BigPanda is its user-friendly interface.

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What is your experience regarding pricing and costs for BigPanda?

The pricing of BigPanda includes considerations for pricing, licensing, and setup costs of the solution.

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Compared 12% of the time

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Compared 8% of the time

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Compared 7% of the time

Dynatrace vs BigPanda

Compared 5% of the time

Splunk ITSI (IT Service Intelligence) vs BigPanda

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Compared 9% of the time

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Compared 5% of the time

DX Spectrum vs Stackify

Compared 5% of the time

Splunk AppDynamics vs Stackify

Compared 5% of the time

Pandora FMS vs Stackify

Compared 5% of the time

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Product Reports

Buyer's Guide

BigPanda

March 2026

Download BigPanda product report

Buyer's Guide

Stackify

March 2026

Download Stackify product report

Overview

BigPanda Autonomous Operations platform is a cutting-edge solution that helps IT Ops, NOC and DevOps teams detect, investigate, and resolve IT incidents faster and more easily than ever before. Powered by Open Box Machine Learning, BigPanda correlates IT noise into insights, automates incident management, and unifies fragmented IT operations.

BigPanda’s Autonomous Operations platform increases the ease with which IT administrators are able to both manage their systems and respond to issues that arise. It combines machine learning and automation, which not only provide administrators with reliable suggestions concerning future issues that may arise, but also allows for certain tasks to be assigned to the system itself. These allow organizations to save both time and resources that can be dedicated to more critical tasks.

BigPanda’s Autonomous Operations platform possesses a simplified and unified user interface, enabling users to manage the solution from one place. The UI allows users to view and manage all of the information and controls that IT teams need to be able to easily access, providing a level of visibility that ensures users will be able to view all of their system’s most up-to-date and critical information at any time that they wish.

Benefits of BigPanda Autonomous Operations Platform

Some the benefits of using BigPanda’s Autonomous Operations platform include:

The ability to autonomously detect and respond to IT issues. BigPanda’s Autonomous Operations software autonomously searches for and detects issues. When found, its level-zero feature can then handle elementary tasks such as threat prioritization, which would otherwise require a dedicated team to handle. The solution can be adapted to meet your organization’s specific requirements.
The ability to receive new threat suggestions based on historical data. Armed with this knowledge, BigPanda’s Autonomous Operations’s machine learning algorithm makes reliable predictions of issues that might come up in the future.
The ability to manage BigPanda’s Autonomous Operations platform and view both real-time and historical data from a single interface. BigPanda’s Autonomous Operations platform UI is a centralized location where all levels of your organization’s IT teams can view system data and manage situations that may arise. The data displayed on this interface is always up-to-date. IT teams have the latest relevant information available to them at all times without having to conduct a search.

Reviews from Real Users

BigPanda’s Autonomous Operations platform stands out among its competitors for a number of reasons. Two major ones are its centralized user interface and its ability to easily integrate with other security solutions. The centralized UI gives users the ability to clearly see all their alert data in a single location without having to search for it. Its easy integration allows administrators to augment their IT security capabilities when they find it necessary to do so.

PeerSpot user Larry C., the principal engineer in charge of site operations for a tech vendor, notes this benefit when he writes, "Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."

Another PeerSpot user, who is an independent entrepreneur in the IT environment at a tech services company, notes the flexibility of this platform when they write “BigPanda integrates well with other solutions, such as WatchGuard.”

BigPanda

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.

Stackify

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process

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

Buyer's Guide

BigPanda vs. Stackify

March 2026

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