BigPanda vs Elastic Observability comparison

Why PeerSpot?

BigPanda and Elastic are both solutions in the IT Infrastructure Monitoring category. BigPanda is ranked #22 with an average rating of 8.3, while Elastic is ranked #15 with an average rating of 9.0. BigPanda holds a 0.6% mindshare in IM, compared to Elastic’s 1.2% mindshare. Additionally, 85% of BigPanda users are willing to recommend the solution, compared to 88% of Elastic users who would recommend it.

BigPanda

Read 20 BigPanda reviews

5,424 Views
2,929 Comparison Views

85% willing to recommend

Elastic Observability

Read 29 Elastic Observability reviews

12,505 Views
5,002 Comparison Views

88% willing to recommend

BigPanda

Elastic Observability

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

BigPanda and Elastic Observability compete in IT monitoring and incident management. BigPanda excels in pricing and support, while Elastic Observability offers robust features justifying its higher price.

Features: BigPanda focuses on event correlation, noise reduction, and automation capabilities. It streamlines workflows for IT teams, helps manage incidents efficiently, and integrates seamlessly with existing systems. Elastic Observability offers comprehensive data analysis, integration with diverse data sources, and deep system performance insights. It is valuable for businesses needing detailed user behavior analytics and supports advanced data exploration.

Room for Improvement: BigPanda could improve its analytical capabilities and expand its data source integration options to match competitors. A richer set of user behavior insights could enhance its offerings. Better documentation and resources could further assist users. Elastic Observability may refine its deployment procedures for a quicker setup, simplify integration steps to lower complexity, and offer more budget-friendly pricing options for small businesses.

Ease of Deployment and Customer Service: BigPanda provides straightforward deployment with dedicated support and a quick onboarding process minimizing downtime. Elastic Observability has a scalable model with robust technical support, but its complexity may result in longer setup times, demanding careful integration steps.

Pricing and ROI: BigPanda presents an attractive, cost-effective pricing structure, facilitating efficiency and quick decision-maker buy-in without high initial costs. It delivers solid ROI, appealing to budget-conscious businesses. Elastic Observability has a higher cost but justifies it with advanced analytics and data insights, promising high ROI for companies investing in its comprehensive features.

To learn more, read our detailed BigPanda vs. Elastic Observability Report (Updated: November 2026).

Buyer's Guide

BigPanda vs. Elastic Observability

November 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:

ROI

Sentiment score

5.5

BigPanda surpasses Netcool in efficiency, reducing resources and enhancing incident resolution and recovery times for heavy users.

Sentiment score

6.5

Elastic Observability enhances cost-effectiveness by reducing incidents, automating fixes, and visualizing cloud operations, saving time and resources.

BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.

reviewer2691138

Technical Lead

BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.

CHANTI BANOTH

Software Engineer at Trianz

Resource count has probably reduced by about ten to twenty percent due to the reduced incident count, which enables me to identify issues faster, meaning business recovery is quicker.

KiranMs

Director Of Engineering at Broadcom Inc.

For more quotes and insights, download the BigPanda report

Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

Customer Service

Sentiment score

6.5

BigPanda's support is praised for responsiveness and effectiveness, despite occasional delays, with some users noting communication issues.

Sentiment score

7.6

Elastic Observability customers appreciate their helpful support, quick responses, and valuable documentation, despite some challenges in complex issue resolution.

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.

Atharva Jagdale

Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees

Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness.

Michael Wenn

CEO / Co-Founder at Aiops ltd

For technical support, we have only had to address password resets and alert mismatching.

reviewer2691138

Technical Lead

For more quotes and insights, download the BigPanda report

Elastic support really struggles in complex situations to resolve issues.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Their excellent documentation typically helps me solve any issues I encounter.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

Scalability Issues

Sentiment score

7.2

BigPanda efficiently scales across environments, managing numerous alerts and servers, with high ratings despite occasional peak-time delays.

Sentiment score

7.2

Elastic Observability is praised for scalability and ease of deployment, despite potential complexities and internal process limitations.

It handles large volumes of alerts without limitations.

Sneha Vigneshwari

Works

We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.

CHANTI BANOTH

Software Engineer at Trianz

I rate the scalability of BigPanda at eight.

RajneeshKumar3

Manager Observability at ICE

For more quotes and insights, download the BigPanda report

I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.

Stefan Decuypere

Technology Consultant at Hybrid software

Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

For more quotes and insights, download the Elastic Observability report

Stability Issues

Sentiment score

7.5

BigPanda is stable with slight slowdowns; users request intuitive features, appreciate communication, and note improved stability and task management.

Sentiment score

8.2

Elastic Observability is stable and reliable, with high user ratings, efficiently handling large data volumes with proper configuration.

BigPanda is now stable.

Sneha Vigneshwari

Works

I would rate the availability of BigPanda at nine because it's almost 99.99% available.

RajneeshKumar3

Manager Observability at ICE

However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.

CHANTI BANOTH

Software Engineer at Trianz

For more quotes and insights, download the BigPanda report

There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

Room For Improvement

BigPanda requires AI enhancements, bug fixes, improved usability, expanded features, and better integration to address cost and performance issues.

Elastic Observability needs automation, AI, and customization improvements, addressing complex deployment, market presence, metrics, licensing, and usability issues.

A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.

Sneha Vigneshwari

Works

It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.

CHANTI BANOTH

Software Engineer at Trianz

If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.

Atharva Jagdale

Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees

For more quotes and insights, download the BigPanda report

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.

Lakshmi Bodepu

Senior Consultant at Skillfield

It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.

reviewer708360

Senior Technical Sales at a tech vendor with 1,001-5,000 employees

Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

For more quotes and insights, download the Elastic Observability report

Setup Cost

BigPanda offers competitive pricing and flexible licensing, benefiting high-growth companies with potential costs reaching $200,000 annually.

Elastic Observability provides competitive pricing, benefiting large enterprises with comprehensive licensing, but may be costly for smaller users.

The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.

CHANTI BANOTH

Software Engineer at Trianz

There are indirect costs related to managing open-source products, leading to resource investment in maintaining the dashboards for these capabilities.

KiranMs

Director Of Engineering at Broadcom Inc.

For more quotes and insights, download the BigPanda report

Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.

Lakshmi Bodepu

Senior Consultant at Skillfield

Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable metrics such as number of users or amount of data.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

For more quotes and insights, download the Elastic Observability report

Valuable Features

BigPanda enhances incident management with AI-driven analysis, reducing response times via integration and alert consolidation for improved reliability.

Elastic Observability excels with flexible integration, powerful search, scalability, real-time insights, affordability, and robust support, enhancing efficiency.

Its automation has significantly improved incident response times, reducing the process to within one minute.

Sneha Vigneshwari

Works

It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.

RajneeshKumar3

Manager Observability at ICE

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

reviewer2691138

Technical Lead

For more quotes and insights, download the BigPanda report

the most valued feature of Elastic is its log analytics capabilities.

reviewer708360

Senior Technical Sales at a tech vendor with 1,001-5,000 employees

Every integration, whether for Windows or Linux or even Palo Alto or Fortinet, installs the out-of-the-box dashboards along with it, making it easy to parse incoming data meaningfully and immediately start viewing dashboards to see what's happening in the platform.

Lakshmi Bodepu

Senior Consultant at Skillfield

The best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

For more quotes and insights, download the Elastic Observability report

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 (9th), AIOps (11th)

Elastic Observability

Ranking in IT Infrastructure Monitoring

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (12th), Log Management (16th), Container Monitoring (5th), Cloud Monitoring Software (11th)

Mindshare comparison

As of November 2026, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.6%, down from 0.7% compared to the previous year. The mindshare of Elastic Observability is 1.2%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
Elastic Observability	1.2%
BigPanda	0.6%
Other	98.2%

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.

Read full review

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Outsourcing Company

Manufacturing Company

Healthcare Company

Financial Services Firm

13%

Computer Software Company

Comms Service Provider

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	13

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

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...

See all answers

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...

See all answers

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 is your experience regarding pricing and costs for Elastic Observability?

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

See all answers

What needs improvement with Elastic Observability?

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...

See all answers

What is your primary use case for Elastic Observability?

My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.

See all answers

Comparisons

Moogsoft vs BigPanda

Compared 9% of the time

PagerDuty Operations Cloud vs BigPanda

Compared 8% of the time

Zabbix vs BigPanda

Compared 5% of the time

Splunk ITSI (IT Service Intelligence) vs BigPanda

Compared 5% of the time

Dynatrace vs BigPanda

Compared 4% of the time

More BigPanda Competitors

Splunk AppDynamics vs Elastic Observability

Compared 5% of the time

Dynatrace vs Elastic Observability

Compared 4% of the time

Grafana vs Elastic Observability

Compared 4% of the time

New Relic vs Elastic Observability

Compared 3% of the time

Datadog vs Elastic Observability

Compared 3% of the time

More Elastic Observability Competitors

Product Reports

Buyer's Guide

BigPanda

November 2026

Download BigPanda product report

Buyer's Guide

Elastic Observability

November 2026

Download Elastic Observability 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

Elastic Observability is known for its powerful search capabilities, central logging, and integration with cloud-native tasks. It enhances monitoring for applications and systems through its flexibility and machine learning features.

Elastic Observability is a robust tool offering end-to-end monitoring and performance analysis, widely utilized for application performance monitoring, centralized logging, and metrics collection. Kibana enables data visualization and connection of sources, while the platform aids in incident response with real-time insights. Despite its complex learning curve, limited customization, and licensing challenges, it remains valuable for businesses seeking to improve operational efficiency with additional support from log analytics and system automation.

What are the key features of Elastic Observability?

Powerful Search: High-performance search that simplifies finding data across systems.
Centralized Logging: Consolidates logs from multiple sources for easier monitoring.
Customizable Dashboards: Allows tailored visual monitoring experience through Kibana.
Machine Learning Features: Incorporates AI-driven analytics for deeper insights.
Scalability and Stability: Adaptable infrastructure supporting high-volume data efficiently.

What benefits or ROI should be considered?

Enhanced Monitoring: Improves system performance visibility and response time.
Cost-Effectiveness: Offers value through scalable infrastructure solutions.
Flexible Integration: Connects seamlessly with existing systems for operational efficiency.

A wide range of industries apply Elastic Observability for its capabilities in capturing significant data points to offer insights into business and technical performance. Its applications span log events, application monitoring, network protocol monitoring, and more, aiding in data-driven decision-making processes within sectors like IT, finance, and e-commerce.

Elastic

Sample Customers

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

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Buyer's Guide

BigPanda vs. Elastic Observability

November 2026

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We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.