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BigPanda vs ScienceLogic 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 optimizes operations with significant savings and efficiency for managing over 10,000 weekly events, outperforming tools like Netcool.
Sentiment score
7.5
ScienceLogic enhances service quality, reduces incidents, and strengthens brand reputation, making it valuable for enterprises despite initial costs.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
The return on investment is fair but often challenged by medium-sized businesses who may question its adequacy.
 

Customer Service

Sentiment score
6.6
BigPanda's customer service is usually responsive and effective, though communication delays and variability in experiences are noted.
Sentiment score
7.8
ScienceLogic's support team is praised for professionalism and expertise, despite occasional delays, ensuring quick resolutions and customer satisfaction.
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.
For technical support, we have only had to address password resets and alert mismatching.
Their collaboration was good, and I would rate them nine out of ten.
Problems with Skylar may require longer wait times due to limited resource expertise.
I received excellent support from ScienceLogic.
 

Scalability Issues

Sentiment score
7.0
BigPanda is praised for scalability and integration, with minor licensing concerns and varied experiences with server management.
Sentiment score
6.9
ScienceLogic effectively handles global scalability, despite some hardware challenges, and supports enterprise growth with customizable automation features.
It handles large volumes of alerts without limitations.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
I rate the scalability of BigPanda at eight.
 

Stability Issues

Sentiment score
7.4
BigPanda is highly stable with minimal issues, reliable alerts, and efficient incident management, despite occasional slowdowns during heavy traffic.
Sentiment score
7.1
ScienceLogic is stable and scalable, though occasional bugs occur during upgrades; users rate its stability between six and nine.
BigPanda is now stable.
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.
Stability should relate to whether the platform fails, stops working, or breaks.
 

Room For Improvement

BigPanda requires enhancement in AI integration, interface design, reporting, observability, and automation to improve user experience and reduce costs.
ScienceLogic needs better reporting, user interface, vendor support, simpler integration, improved API, and efficient application monitoring for enterprises.
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.
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
While some other companies have easier APIs, using this solution demands significant expertise.
If the knowledge for implementation could be spread through articles, it would reduce this dependency.
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
 

Setup Cost

BigPanda offers flexible pricing appealing to enterprises with mid-range costs, seen as more affordable than competitors.
ScienceLogic offers flexible yet potentially high pricing, starting at $25K, with costs based on device count and features.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
It could be cheaper.
ScienceLogic is not that expensive and is cost-effective overall.
 

Valuable Features

BigPanda enhances incident response with alert deduplication, platform integration, AI/ML, and custom dashboards for improved service reliability.
ScienceLogic provides scalable, customizable monitoring with advanced analytics and integration, enhancing service delivery through intuitive and flexible solutions.
Its automation has significantly improved incident response times, reducing the process to within one minute.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
Notably, its automation features, such as Runbook action, enable domain experts like me to execute one-click automation solutions, which contributes significantly to reducing MTTR.
The solution excels in three areas: application monitoring, server monitoring, and network performance monitoring.
The CMDB update and the automatic CMDB update are valuable.
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
28th
Ranking in AIOps
12th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
18
Ranking in other categories
IT Alerting and Incident Management (9th)
ScienceLogic
Ranking in IT Infrastructure Monitoring
22nd
Ranking in AIOps
7th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
45
Ranking in other categories
Event Monitoring (7th), Unified Communications Monitoring (1st), Network Monitoring Software (25th), Server Monitoring (12th), IT Operations Analytics (7th), Cloud Monitoring Software (18th)
 

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 ScienceLogic is 1.8%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring
 

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.
Michael Wenn - PeerSpot reviewer
Offers comprehensive monitoring and tool consolidation but integration complexity needs improvement
There is room for improvement in the speed of setting up the service and integrating PowerPacks. Although these prebuilt features are great, there is considerable complexity in bringing them together to create a unified dashboard. Even with many good integrations and deep visibility, the implementation takes time, especially when it doesn't involve these integrations. While some other companies have easier APIs, using this solution demands significant expertise. It's challenging for new customers to implement independently. The implementation speed of non-PowerPack or non-out-of-the-box integrations should be improved. Additionally, the AI automation feature is not yet very rich due to resource constraints supporting a wide platform.
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
19%
Manufacturing Company
9%
Insurance Company
6%
Computer Software Company
13%
Financial Services Firm
12%
Manufacturing Company
9%
Government
8%
 

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...
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 for BigPanda is reasonable compared to other event management tools, given its advantages.
What do you like most about ScienceLogic?
The tool is quite easy to deploy, and it offers very good support.
What is your experience regarding pricing and costs for ScienceLogic?
ScienceLogic is not that expensive and is cost-effective overall.
What needs improvement with ScienceLogic?
ScienceLogic is working towards a kind of AI, DKAIRA enablement, but I find one dependency is the frequent need to rely on professional services. If the knowledge for implementation could be spread...
 

Comparisons

 

Overview

 

Sample Customers

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Find out what your peers are saying about BigPanda vs. ScienceLogic and other solutions. Updated: April 2025.
851,604 professionals have used our research since 2012.