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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
6.7
BigPanda enhances operational efficiency by centralizing functions, reducing resources needed, and outperforming Netcool with advanced features.
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
6.7
BigPanda's customer support is mostly praised for responsiveness and problem-solving, though some mention occasional delays and contact issues.
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.
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.
They are generally fast with their responses, although there might be some delays when escalating to the next level.
 

Scalability Issues

Sentiment score
7.0
BigPanda efficiently processes alerts, adapts to platforms, supports collaboration, and is scalable despite minor peak-time challenges.
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
7.3
BigPanda is stable and reliable, with occasional drops, but teams confidently manage alerts and performance impacts under heavy traffic.
Sentiment score
8.8
Sumo Logic Observability is highly reliable, with users experiencing no issues and rating its reliability a perfect ten for enterprises.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
BigPanda is now stable.
 

Room For Improvement

Users seek better analytics, usability, integration, and enhanced features to improve BigPanda's performance, cost-effectiveness, and AI capabilities.
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.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
The planned maintenance feature in BigPanda needs enhancements due to its limited scheduling options.
 

Setup Cost

BigPanda offers cost-effective, flexible pricing options with potential discounts, appealing to high-growth companies seeking competitive event management tools.
<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, integrations, and dashboards for efficient response, anomaly detection, and platform consolidation.
Sumo Logic Observability offers real-time alerting, apps, team collaboration, easy integration, and a flexible query language, boosting incident resolution.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
Its automation has significantly improved incident response times, reducing the process to within one minute.
 

Categories and Ranking

BigPanda
Ranking in AIOps
18th
Average Rating
7.4
Reviews Sentiment
6.8
Number of Reviews
16
Ranking in other categories
IT Infrastructure Monitoring (51st), IT Alerting and Incident Management (12th)
Sumo Logic Observability
Ranking in AIOps
10th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Application Performance Monitoring (APM) and Observability (20th), Cloud Monitoring Software (21st)
 

Mindshare comparison

As of May 2025, in the AIOps category, the mindshare of BigPanda is 3.1%, up from 2.4% compared to the previous year. The mindshare of Sumo Logic Observability is 0.7%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps
 

Featured Reviews

Ankit-Mathur - PeerSpot reviewer
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.
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
19%
Manufacturing Company
10%
Insurance Company
7%
Financial Services Firm
16%
Computer Software Company
14%
Manufacturing Company
10%
Transportation Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 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: April 2025.
850,028 professionals have used our research since 2012.