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BigPanda vs Sumo Logic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 16, 2024

Review summaries and opinions

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

ROI

Sentiment score
5.5
BigPanda enhances efficiency by centralizing operations, saving time and resources, especially when managing over 10,000 events weekly.
Sentiment score
7.0
Sumo Logic Observability improved operational efficiency, reduced downtime, and provided better issue resolution, visibility, stability, and proactive IT management.
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
 

Customer Service

Sentiment score
6.0
BigPanda customer service is generally helpful but experiences vary, showing occasional delays with ratings from six to ten.
Sentiment score
7.8
Sumo Logic Observability's customer service is highly rated, with quick responses and helpful support, particularly for advanced and OpenTelemetry issues.
If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.
Their collaboration was good, and I would rate them nine out of ten.
For technical support, we have only had to address password resets and alert mismatching.
 

Scalability Issues

Sentiment score
6.6
BigPanda efficiently manages large alerts and users, integrates well, and is favored for scalability in complex infrastructures.
Sentiment score
7.3
Sumo Logic Observability scales efficiently for diverse users, handling peak records with ease, supported by Fluent Bit and OpenTelemetry.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
It handles large volumes of alerts without limitations.
BigPanda facilitates better collaboration between IT teams by providing a shared view of incidents and requests.
 

Stability Issues

Sentiment score
7.0
BigPanda is stable with efficient issue resolution, improved reliability, and high ratings, though critical traffic may slow it down.
Sentiment score
8.8
Sumo Logic Observability is highly reliable, with users experiencing no issues and rating its reliability a perfect ten for enterprises.
BigPanda is now stable.
I have not encountered issues like lagging or crashing with BigPanda.
If they have improved their technical capabilities recently, they might have achieved higher stability.
 

Room For Improvement

BigPanda needs better analytics, UI, cost-effectiveness, and AI, with improved observability, integration, and reduced incident costs.
The system requires efficiency improvements in data usage, cost management, enrichment, search interface, query speed, and pre-built dashboards.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
 

Setup Cost

BigPanda offers flexible, affordable pricing at $200,000/year with discounts, perceived as reasonable compared to competitors in event management.
<p>Sumo Logic Observability provides flexible, competitive pricing for enterprises, but additional costs may apply for advanced features and high data volumes.</p>
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
 

Valuable Features

BigPanda enhances incident management with AI-driven alert deduplication, integration, automation, and user-friendly dashboards, improving workflow efficiency.
Sumo Logic Observability offers real-time alerting, apps, team collaboration, easy integration, and a flexible query language, boosting incident resolution.
Even during suppressions when other tools are unavailable, BigPanda provides alerts, enabling me to track incidents effectively, follow up, and resolve them promptly.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
The platform's AI analyzes alert sources and root causes, enhancing real-time incident management and enabling automated resolution.
 

Categories and Ranking

BigPanda
Ranking in AIOps
8th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
19
Ranking in other categories
IT Infrastructure Monitoring (25th), IT Alerting and Incident Management (8th)
Sumo Logic Observability
Ranking in AIOps
11th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Application Performance Monitoring (APM) and Observability (23rd), Cloud Monitoring Software (17th)
 

Mindshare comparison

As of October 2025, in the AIOps category, the mindshare of BigPanda is 3.4%, up from 2.5% compared to the previous year. The mindshare of Sumo Logic Observability is 1.0%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps Market Share Distribution
ProductMarket Share (%)
BigPanda3.4%
Sumo Logic Observability1.0%
Other95.6%
AIOps
 

Featured Reviews

Michael Wenn - PeerSpot reviewer
Experience boosts operational efficiency while requiring smoother setup and cost adjustments
I am a customer and end user of the BigPanda solution. My role is CEO/co-founder at AI Ops Limited, and I can be reached at mike.van@aiops.co.uk. I have opted to receive email notifications relevant to my review, which I can opt out of at any time. If I don't already have an account on peerspot.com, PeerSpot will create an account and email me login credentials.
Shamshir Nangla - PeerSpot reviewer
Getting up and running is easy, even for a newbie but management of searches definitely needs improvement
Operational effectiveness with regards to when there's an issue, when there's a reactive issue, people are able to, or as well as proactively, actually, because we use their PagerDuty integrations. We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening. With those same alerts, obviously, with that platform, you can use it to reactively start looking at troubleshooting issues as they're happening right then and there or incidents. So it's been very, very good for alerting and for troubleshooting issues. For predicting issues before they happen, it is not very good. They have a feature called anomaly detection, but I think it's quite premature compared to other stuff out there. So it's good for alerts and for troubleshooting operational effectiveness. When your operations are down or segregated, it's perfect because it will help you diagnose the issues.
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
15%
Manufacturing Company
9%
Insurance Company
6%
Computer Software Company
13%
Financial Services Firm
12%
Manufacturing Company
9%
Transportation Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise11
No data available
 

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...
What do you like most about BigPanda?
One of the most valuable features of BigPanda is its user-friendly interface.
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.
What needs improvement with Sumo Logic Observability?
The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five m...
What is your primary use case for Sumo Logic Observability?
We used it for log observability – log aggregation specifically.
 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
Information Not Available
Find out what your peers are saying about BigPanda vs. Sumo Logic Observability and other solutions. Updated: September 2025.
869,202 professionals have used our research since 2012.