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BigPanda vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 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
7.1
Elastic Observability enhances efficiency, reduces incidents, and provides cost-effective visibility, with benefits in data management and availability.
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.
 

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
7.7
Elastic Observability users praise responsive, knowledgeable support, valuing quick problem-solving, though rely on documentation for added assistance.
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.
 

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
7.1
Elastic Observability offers scalable performance and ease of use, with user satisfaction varying based on specific implementations and preferences.
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.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
 

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
8.2
Elastic Observability is stable, efficiently handles analytics, and is well-regarded by users, though monitoring storage is recommended.
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.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
 

Room For Improvement

BigPanda requires enhancement in AI integration, interface design, reporting, observability, and automation to improve user experience and reduce costs.
Elastic Observability needs improved automation, ease of use, dashboard customization, advanced metrics, compatibility, and streamlined deployment processes.
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.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
 

Setup Cost

BigPanda offers flexible pricing appealing to enterprises with mid-range costs, seen as more affordable than competitors.
Elastic Observability offers cost-effective, flexible pricing for enterprises, though high-tier licensing may be expensive for smaller users.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
 

Valuable Features

BigPanda enhances incident response with alert deduplication, platform integration, AI/ML, and custom dashboards for improved service reliability.
Elastic Observability enhances incident response with powerful search, centralized logging, machine learning, and scalable integration for seamless monitoring and alerting.
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.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
26th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
18
Ranking in other categories
IT Alerting and Incident Management (8th), AIOps (6th)
Elastic Observability
Ranking in IT Infrastructure Monitoring
11th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
27
Ranking in other categories
Application Performance Monitoring (APM) and Observability (7th), Log Management (16th), Container Monitoring (4th), Cloud Monitoring Software (7th)
 

Mindshare comparison

As of June 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 Elastic Observability is 3.6%, down from 4.9% 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.
Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
18%
Manufacturing Company
10%
Insurance Company
6%
Financial Services Firm
19%
Computer Software Company
15%
Manufacturing Company
8%
Government
6%
 

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 Elastic Observability?
Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...
What is your experience regarding pricing and costs for Elastic Observability?
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.
What needs improvement with Elastic Observability?
Of course, maintenance is necessary, as with any software, requiring updates with the latest features and security enhancements. It lacked some capabilities when handling on-prem devices, like netw...
 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about BigPanda vs. Elastic Observability and other solutions. Updated: June 2025.
856,873 professionals have used our research since 2012.