BigPanda vs Grafana Enterprise Stack comparison

BigPanda and Grafana Labs are both solutions in the IT Infrastructure Monitoring category. BigPanda is ranked #22 with an average rating of 8.3, while Grafana Labs is ranked #13 with an average rating of 8.6. BigPanda holds a 0.6% mindshare in IM, compared to Grafana Labs’s 0.9% mindshare. Additionally, 85% of BigPanda users are willing to recommend the solution, compared to 92% of Grafana Labs users who would recommend it.

BigPanda

Read 20 BigPanda reviews

3,994 Views
2,117 Comparison Views

85% willing to recommend

Grafana Enterprise Stack

Read 14 Grafana Enterprise Stack reviews

2,428 Views
2,404 Comparison Views

92% willing to recommend

BigPanda

Grafana Enterprise Stack

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

BigPanda and Grafana Enterprise Stack compete in IT operations management and monitoring. BigPanda seems to have the upper hand in incident response and integration efficiency, while Grafana Enterprise Stack excels in visualization and monitoring capabilities.

Features: BigPanda automates incident management with intelligent alert clustering and noise reduction, integrates seamlessly with various systems, and enhances operational efficiency. Grafana Enterprise Stack provides advanced data visualization, supports a broad range of data sources, and offers customizable dashboards for deep insights.

Room for Improvement: BigPanda could improve visualization options, extend data source compatibility, and provide more customization in dashboards. Grafana Enterprise Stack may benefit from simplifying deployment processes, enhancing integration with non-traditional IT environments, and improving noise reduction in alert systems.

Ease of Deployment and Customer Service: BigPanda has a straightforward deployment process with effective support through dedicated resources. Grafana Enterprise Stack requires more technical expertise due to extensive customization options but provides comprehensive documentation and support services.

Pricing and ROI: BigPanda’s pricing aligns with its focus on reducing downtime and improving incident management efficiency, offering a high ROI due to minimized disruptions. Grafana Enterprise Stack may involve higher initial costs justified by enhanced visualization features, providing long-term value through analytics and scalability.

To learn more, read our detailed BigPanda vs. Grafana Enterprise Stack Report (Updated: June 2026).

Buyer's Guide

BigPanda vs. Grafana Enterprise Stack

June 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

22nd

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

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

Grafana Enterprise Stack

Ranking in IT Infrastructure Monitoring

13th

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.6%, down from 0.9% compared to the previous year. The mindshare of Grafana Enterprise Stack is 0.9%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
Grafana Enterprise Stack	0.9%
BigPanda	0.6%
Other	98.5%

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.

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Rajan M

Test Lead at Calpine Group

Efficient monitoring and alerting enhance operational insights

With Grafana Enterprise Stack, we can identify issues that New Relic cannot help with. While New Relic requires purchase and supports frontend and backend components, Grafana Enterprise Stack helps identify where issues are occurring. When we need to deep dive into issues, we use New Relic to trace transactions and determine where maximum impact occurs, whether in core size, DB side, or frontend components that slow performance. We first evaluate with Grafana Enterprise Stack, then move to New Relic if we identify performance degradation, such as DB queries taking too much time. Grafana Enterprise Stack responds to queries within 6 to 12 hours. They contact users through email immediately when available. Similarly, New Relic follows the same pattern, responding immediately when requests are raised and resolving issues promptly.

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

"BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality."

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

"We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process."

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

"If you're looking for a SaaS which truly believes in software as a service, BigPanda is definitely the solution to go for."

"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."

"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."

More BigPanda pros

"The dashboards are pretty good."

"Grafana's most valuable feature is its ability to provide a graphical representation of data collected from various sources."

"Grafana has enough features around dashboard management. It's got enough plugins to create your dashboards."

"The most valuable features of Grafana for data visualization are its ability to create intuitive dashboards and its wide range of visualization options like graphs, charts, and tables."

"It is very easy to deploy and integrate with any application or infrastructure layer."

"Our productivity has improved with its use."

"The most valuable features for us are dashboards; we can dashboard anything that we can think of, we can dashboard and measure."

"The tool's most valuable feature is real-time monitoring. It helps in securing the application or the node by allowing us to monitor and manage resource consumption during peak times. For instance, from 10 AM to 2 PM, we may experience high memory utilization. It helps us to solve these issues."

More Grafana Enterprise Stack pros

Cons

"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."

"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."

"We'd like to see additional dashboard features included as part of the solution."

"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."

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

"In terms of product stability, I can rate it around nine. It is quite good, though I would not rate it a full ten because every time there is a new feature, I have to go through documents or contact support."

"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), and this has caused some delay in the ingestion pipeline."

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

More BigPanda cons

"In terms of what Grafana provides, it just provides the charting tools. Everything else is third-party."

"I find Grafana really hard to configure. It's difficult to build the dashboard, and it's non-intuitive. In my opinion, it's very difficult to work with Grafana."

"The tool needs to show only fewer updates."

"If Grafana Enterprise Stack could display transaction queries in dashboard format similar to New Relic, it would provide more options and capabilities for users."

"The connection between metrics, logs, and traces could be improved. Currently, one needs to ingest labels and timestamps for them to be connected, however, drilling down sometimes takes time."

"The solution should include integration with Power BI."

"I have encountered occasional issues with false inputs or incorrect data in Grafana."

"They could use more small tutorials to explain a bit about how Grafana works."

More Grafana Enterprise Stack 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."

"I use the tool's free license."

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Manufacturing Company

Healthcare Company

Outsourcing Company

Energy/Utilities Company

19%

Financial Services Firm

13%

Manufacturing Company

10%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	1
Large Enterprise	7

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 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...

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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

What needs improvement with Grafana Enterprise Stack?

I am trying to think about its advanced alerting features; we do not use it too much for that. We do get it to report through to our help desk system and if a threshold gets broken, then a ticket i...

See all answers

What is your primary use case for Grafana Enterprise Stack?

I have switched to a different suite, focusing on customer edge solutions that are mostly Fortinet. To manage it, I use Grafana Enterprise Stack and a whole bunch of tools that we wrote ourselves. ...

See all answers

What advice do you have for others considering Grafana Enterprise Stack?

We use Grafana Enterprise Stack in all of our clients. I rate this product an eight out of ten.

See all answers

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Compared 6% of the time

Dynatrace vs BigPanda

Compared 5% of the time

ServiceNow vs BigPanda

Compared 5% of the time

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Compared 18% of the time

LiveNX vs Grafana Enterprise Stack

Compared 8% of the time

PRTG Network Monitor vs Grafana Enterprise Stack

Compared 6% of the time

Lenovo XClarity Orchestrator vs Grafana Enterprise Stack

Compared 5% of the time

VMware Aria Operations for Applications vs Grafana Enterprise Stack

Compared 5% of the time

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Product Reports

Buyer's Guide

BigPanda

June 2026

Download BigPanda product report

Buyer's Guide

Grafana Enterprise Stack

June 2026

Download Grafana Enterprise Stack 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

Grafana Enterprise Stack is a powerful tool for real-time data monitoring and visualization. With its flexible and scalable features, it is widely used for creating dashboards, analyzing metrics, and gaining insights into infrastructure, databases, and applications.

Its valuable features include powerful visualization capabilities, extensive data source integrations, customizable dashboards, a user-friendly interface, and a robust alerting system. Users appreciate its flexibility, scalability, and ability to integrate with different data sources, making it suitable for a wide range of industries and use cases.

Grafana Labs

Sample Customers

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

1. Uber 2. PayPal 3. eBay 4. Sony 5. Red Hat 6. IBM 7. Cisco 8. Adobe 9. Expedia 10. Booking.com 11. Airbnb 12. LinkedIn 13. Twitter 14. Netflix 15. Spotify 16. Pinterest 17. Slack 18. GitLab 19. Docker 20. Atlassian 21. Salesforce 22. Microsoft 23. Google 24. Amazon 25. Facebook 26. Apple 27. Intel 28. Oracle 29. SAP 30. VMware 31. HP 32. Dell

Buyer's Guide

BigPanda vs. Grafana Enterprise Stack

June 2026

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