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 7.2, while Stackify is ranked #58. BigPanda holds a 0.9% mindshare in IM, compared to Stackify’s 0.3% mindshare. Additionally, 83% of BigPanda users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

BigPanda

Read 18 BigPanda reviews

1,570 Views
924 Comparison Views

83% willing to recommend

Stackify

Read 6 Stackify reviews

443 Views
311 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: April 2025).

Buyer's Guide

BigPanda vs. Stackify

April 2025

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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

6.8

Number of Reviews

Ranking in other categories

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

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 BigPanda is 0.9%, down from 1.0% 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

Ankit-Mathur

Program Manager at Tata Consultancy

Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts

For new users, I would advise using BigPanda for its comprehensive alert monitoring and integration with ServiceNow. Its mapping capabilities and user-friendly interface make it valuable for incident analysis and prioritization. As users become more familiar with the tool, its full potential will become apparent, enhancing efficiency and effectiveness over time. It is easy for someone to learn to use BigPanda for the first time. We start with basic examples that everyone can understand, then provide verbal introductions followed by hands-on training over two weeks. We encourage making mistakes and asking questions to ensure understanding. It depends on the trainer's approach, but with proper guidance, anyone can learn effectively. Overall, I would rate BigPanda as a five out of ten. For it to be a perfect ten, it would need to consistently provide accurate alerts without requiring manual validation. This means it should effectively suppress similar incidents, eliminating the need for constant monitoring. Once it reaches this level of reliability, BigPanda would be exceptional.

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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

"Overall, I rate BigPanda as a nine out of ten."

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

"A user-friendly solution."

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

"BigPanda simplifies the process by consolidating multiple monitoring platforms into a single console where I can view all issues."

"The best of a bad lot was the error message deduping."

"Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture."

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

More BigPanda pros

"The solution is stable and reliable."

"The deployment is very fast."

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

"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."

Cons

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

"BigPanda attempts a little of everything and fails at most."

"BigPanda sometimes creates false incidents and workarounds, causing financial disturbances because we pay for each incident."

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

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

"When handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer."

"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."

More BigPanda cons

"The search feature could be improved."

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

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

Pricing and Cost Advice

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

"BigPanda is cheaper than the competitors."

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

"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%

Computer Software Company

19%

Manufacturing Company

Insurance Company

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

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.

See all answers

What is your experience regarding pricing and costs for BigPanda?

The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.

See all answers

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Comparisons

ServiceNow vs BigPanda

Compared 19% of the time

Splunk ITSI (IT Service Intelligence) vs BigPanda

Compared 10% of the time

Moogsoft vs BigPanda

Compared 9% of the time

Dynatrace vs BigPanda

Compared 8% of the time

ServiceNow IT Operations Management vs BigPanda

Compared 8% of the time

More BigPanda Competitors

Dynatrace vs Stackify

Compared 42% of the time

New Relic vs Stackify

Compared 41% of the time

Splunk Enterprise Security vs Stackify

Compared 17% of the time

More Stackify Competitors

Product Reports

Buyer's Guide

BigPanda

May 2025

Download BigPanda product report

Buyer's Guide

Stackify

April 2025

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

April 2025

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