BigPanda vs Stackify comparison

Why PeerSpot?

BigPanda and Stackify are both solutions in the IT Infrastructure Monitoring category. BigPanda is ranked #21 with an average rating of 8.3, while Stackify is ranked #68. BigPanda holds a 0.7% mindshare in IM, compared to Stackify’s 0.7% mindshare. Additionally, 85% of BigPanda users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

BigPanda

Read 20 BigPanda reviews

5,173 Views
2,742 Comparison Views

85% willing to recommend

Stackify

Read 6 Stackify reviews

4,361 Views
1,744 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: September 2026).

Buyer's Guide

BigPanda vs. Stackify

September 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

21st

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

IT Alerting and Incident Management (9th), AIOps (10th)

Stackify

Ranking in IT Infrastructure Monitoring

68th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (62nd), Log Management (56th)

Mindshare comparison

As of October 2026, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.7%, down from 0.9% compared to the previous year. The mindshare of Stackify is 0.7%, 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	0.7%
Stackify	0.7%
Other	98.6%

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

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.

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

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

"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."

"A user-friendly solution."

"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."

"BigPanda is an endpoint protection solution against ransomware."

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

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

More BigPanda 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."

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

"The deployment is very fast."

"The solution is stable and reliable."

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

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

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

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

More Stackify pros

Cons

"Lacks sufficient dashboard features."

"BigPanda can improve the correlations. We didn't see any big value."

"The solution could improve by having better integration."

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

"It would be beneficial for BigPanda to offer detailed error descriptions similar to what AppDynamics and ThousandEyes provide."

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

"I am not sure if we can pull reports of bulk incidents in different formats like PDF, Excel, or CSV. This feature would allow us to extract monthly incident reports similar to ServiceNow."

"Logic Monitor has a slightly different and better version of agentic AI."

More BigPanda cons

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

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

"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'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."

"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."

"Better mobile support."

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

More Stackify cons

Pricing and Cost Advice

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

"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

23%

Manufacturing Company

Outsourcing Company

Healthcare Company

Construction Company

19%

Comms Service Provider

19%

Outsourcing Company

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	13

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...

See all answers

What is your experience regarding pricing and costs for BigPanda?

Regarding extra expenses, I pay more for communication and do not incur costs for another dashboard perspective, but there are indirect costs related to managing open-source products, leading to re...

See all answers

What needs improvement with BigPanda?

Something that comes to mind regarding improvements is communication, as I rely heavily on another tool. If BigPanda could provide communication capabilities beyond just sending notifications—such ...

See all answers

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Product Reports

Buyer's Guide

BigPanda

October 2026

Download BigPanda product report

Buyer's Guide

Stackify

September 2026

Download Stackify product report

Overview

BigPanda enhances incident management through root cause analysis, alert deduplication, and event correlation. The AI-driven platform is designed for environments with high alert volumes, providing insights for data-driven decisions and seamless integration with tools like ServiceNow and Teams.

BigPanda addresses the complexities of incident management by offering an AI-focused approach to anomaly detection. Automation improves response times, while unified analytics supports informed decision-making. Despite AI integration and usability needing enhancement, the platform simplifies observability and ticketing through integrations with New Relic and Slack. Features like enrichment mapping and unified search improve functionality, though reporting and visualization aspects require development.

What are the key features of BigPanda?

Root Cause Analysis: Efficient identification of the sources of incidents.
Alert Deduplication: Reduces alert noise by consolidating duplicates.
Event Correlation: Connects related alerts for easier incident management.
Automation: Streamlines processes for faster response times.
Seamless Integration: Connects with tools like ServiceNow and Teams.

What benefits or ROI can users find in reviews?

Increased Efficiency: Automates incident management tasks.
Operational Insights: Provides valuable analytics for strategic decisions.
Improved Collaboration: Integrates notifications with Slack and other platforms.
Reduced Alert Fatigue: Deduplication and suppression improve focus on critical issues.

BigPanda is widely implemented in industries focusing on observability and predictive analysis, providing efficient alert processing and incident management. Users utilize its capabilities to seamlessly integrate with solutions like Dynatrace, particularly in environments that handle high volumes of alerts, ensuring effective notification delivery through various platforms.

BigPanda

Stackify enhances application performance monitoring with features like detailed logging and effective filtering options, integrating capabilities to eliminate the need for multiple tools, and providing rapid deployment and stable performance.

Stackify offers a comprehensive solution for business insight through custom dashboards, error monitoring, load management, and application scoring. Its ability to visualize performance by creating responsive dashboards helps connect business and technical teams. Despite its strengths, users seek improvements such as better mobile support, real-time log appearance, and Docker documentation. Enhanced Linux support and agent memory optimization are also desired, along with better visibility into container and application performance metrics. Integrating more plugins and options would make Stackify a more robust monitoring tool.

What are the key features of Stackify?

Detailed Log and Error Data: Provides in-depth traces and logs for error and data analysis.
Custom Dashboards: Offers business insights and application scoring through tailored dashboards.
Performance Metrics: Monitors application and server performance effectively.
Simple Configuration: Ensures easier setup and deployment without complexities.
Filtering Options: Enables effective management of logs and errors through filters.

What benefits should be expected from using Stackify?

Improved Performance Monitoring: Provides tools to identify root causes and enhance application and server monitoring.
Resource Management: Manages server utilization and handles resource spikes efficiently.
Proactive Alerts: Allows setting up alerts across platforms like AWS and Docker.
Log Aggregation: Compiles logs for testing and analysis to improve system performance.

Organizations across industries use Stackify for extensive application performance monitoring, particularly in testing environments. It is crucial for analyzing database calls, third-party requests, and aggregating logs. Its capabilities in monitoring across AWS and Docker environments make it especially valuable for dynamic and distributed infrastructures.

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

September 2026

Free Report: BigPanda vs. Stackify

Find out what your peers are saying about BigPanda vs. Stackify and other solutions. Updated: September 2026.

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