BigPanda vs Splunk AppDynamics comparison

Why PeerSpot?

BigPanda and Splunk are both solutions in the IT Infrastructure Monitoring category. BigPanda is ranked #22 with an average rating of 8.3, while Splunk is ranked #4 with an average rating of 8.1. BigPanda holds a 0.6% mindshare in IM, compared to Splunk’s 2.5% mindshare. Additionally, 85% of BigPanda users are willing to recommend the solution, compared to 90% of Splunk users who would recommend it.

BigPanda

Read 20 BigPanda reviews

5,424 Views
2,929 Comparison Views

85% willing to recommend

Splunk AppDynamics

Read 278 Splunk AppDynamics reviews

44,919 Views
15,722 Comparison Views

90% willing to recommend

BigPanda

Splunk AppDynamics

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 1, 2026

Splunk AppDynamics, AppDynamics, and BigPanda compete in the monitoring solutions category. Splunk AppDynamics and AppDynamics appear to have an edge in dynamic baselining and application monitoring, while BigPanda excels in event correlation and noise reduction.

Features: Splunk AppDynamics and AppDynamics feature dynamic baselining, business transaction tracking, and extensive application monitoring capabilities. They offer effective automatic detection of performance issues and deep diagnostics for transaction insights across multiple levels. BigPanda provides strong event correlation and noise reduction, effectively consolidating alerts to improve incident management, with AI/ML capabilities enhancing incident response time through alert deduplication and automation.

Room for Improvement: Splunk AppDynamics could improve with enhanced agent capabilities and better integration with AI and multi-cloud environments. Challenges like high resource consumption and complex licensing need addressing. BigPanda can enhance event correlation and reporting capabilities to offer more comprehensive insights, with users seeking better AI integration for automating root cause analysis and reducing false alerts. Improved configuration ease and expanded dashboard functionalities could increase its value.

Ease of Deployment and Customer Service: Splunk AppDynamics supports various deployment environments including on-premises, public, private, and hybrid clouds but requires skilled personnel for complex setup and maintenance. Customer service experiences are mixed. BigPanda offers simpler deployment across public and hybrid clouds with straightforward initial setup. BigPanda's customer service is generally praised for responsiveness, though some technical issues may take longer to resolve.

Pricing and ROI: Splunk AppDynamics and AppDynamics are considered premium solutions with pricing structures based on agent usage, potentially escalating costs for smaller enterprises. Their significant ROI can be seen in downtime reduction and enhanced monitoring, improving satisfaction and operational efficiency. BigPanda presents a more cost-effective solution attractive for organizations focused on incident management improvements, with competitive pricing leading to substantial operational savings through reduced alert noise and efficient incident resolution.

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

Buyer's Guide

BigPanda vs. Splunk AppDynamics

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

5.5

Organizations achieve cost savings, increased client satisfaction, and efficiency with Splunk AppDynamics, justifying the high initial investment.

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

Overall, as a production gatekeeper, we achieve at least 50% efficiency immediately, with potential savings ranging from 60 to 70% as well, reinforcing why it is a popular tool in the banking industry.

DevendraKumar1

Technology lead at Infosys

According to errors, exceptions, and code-level details related to their application performance on a daily basis, the application development team tries to help with Splunk AppDynamics to reduce errors and exceptions, which helps the end users get application availability and feel more confident.

Gyanesh Rahatekar

Back office at Reliance Industries Ltd

To understand the magnitude of it, when the company asked to replace Splunk AppDynamics with another tool, I indicated that for the proposed tool, we would need five people to do the analysis that Splunk AppDynamics enables me to do.

Konstantinos Michailidis

Digital Performance Tester at Amdocs

For more quotes and insights, download the Splunk AppDynamics 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

6.9

Splunk AppDynamics customer service is praised for professionalism and support, though some desire faster 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

It dives deep into questions, leading to effective solutions, often making it feel that a human is resolving issues at the back end.

Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

AppDynamics is much more helpful.

Eduardo Gallardo

Director of Technical Part at NOS SGPS

We got a contact, an account manager, to work directly with for technical support.

NagadevanMuthusamy

Performance Engineer at a pharma/biotech company with 10,001+ employees

For more quotes and insights, download the Splunk AppDynamics 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

7.1

Splunk AppDynamics offers adaptable scalability but faces challenges with large-scale environments and cost, though generally rated positively.

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

Our operational efficiency increases multifold, and service delivery has contributed to revenue growth and business expansion.

Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.

reviewer2674446

Senior Principal, Enterprise Architect at a computer software company with 201-500 employees

I would rate the scalability of Splunk AppDynamics as a nine out of ten.

Konstantinos Michailidis

Digital Performance Tester at Amdocs

For more quotes and insights, download the Splunk AppDynamics 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

7.8

Splunk AppDynamics is highly rated for stability and reliability, despite occasional performance issues during upgrades or specific interactions.

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

It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.

reviewer2674446

Senior Principal, Enterprise Architect at a computer software company with 201-500 employees

There are no issues or bugs with the 20.4 version; it is very stable with no functionality or operational issues.

Gyanesh Rahatekar

Back office at Reliance Industries Ltd

Splunk AppDynamics is superior to any alternative, including Dynatrace.

DevendraKumar1

Technology lead at Infosys

For more quotes and insights, download the Splunk AppDynamics report

Room For Improvement

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

Splunk AppDynamics requires enhancements in analytics, integration, usability, and support to improve functionality and user experience.

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

Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.

reviewer2674446

Senior Principal, Enterprise Architect at a computer software company with 201-500 employees

AI could provide more insights for annual or half-yearly reports and forecast future changes in the asset landscape.

Ahmed-KASSAB

Senior Delivery Manager at GE Vernova

Functionality-wise, I would like to see more cognitive solutions in Splunk AppDynamics, ideally with a single agent that can implement policies and provide predictive insights regarding application performance degradation during peak times.

Rajkumar ReghuVarma

Technology Architect at a tech vendor with 1,001-5,000 employees

For more quotes and insights, download the Splunk AppDynamics report

Setup Cost

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

Splunk AppDynamics pricing is variable, commonly high, influenced by negotiation, organization size, and requiring separate licenses for features.

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

We completed a three-year deal for Splunk and for AppDynamics, which costs millions of dollars.

reviewer2756163

Development Operations Engineer at a retailer with 10,001+ employees

Overall, I consider Splunk AppDynamics an expensive product; it's very expensive.

Per Eklund

Manager, System Scom at Handelsbanken

The resource team finds the best prices, ensuring that Splunk AppDynamics is an acceptable option for the end user.

Ahmed-KASSAB

Senior Delivery Manager at GE Vernova

For more quotes and insights, download the Splunk AppDynamics report

Valuable Features

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

Splunk AppDynamics enhances application performance with real-time monitoring, anomaly detection, and AI-driven insights for fast, effective troubleshooting.

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

We have multiple tools, but end users prefer to use Splunk AppDynamics because their portal navigation is very simple and clear.

Gyanesh Rahatekar

Back office at Reliance Industries Ltd

The real user monitoring and digital experience monitoring effectively track actual user experience with the applications, including page loading, interaction time for both desktop and mobile applications.

Mohammed Hassan

Regional Director at iSecureMind Integrated Solutions

This is the best feature because, although you can't monitor a whole application at once, Splunk AppDynamics gives you the option that if there is any failure—simple failure regarding anything set up as per our use cases—you will get an alert.

DevendraKumar1

Technology lead at Infosys

For more quotes and insights, download the Splunk AppDynamics 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)

Splunk AppDynamics

Ranking in IT Infrastructure Monitoring

4th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

278

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), IT Operations Analytics (2nd), Mobile APM (1st), Container Monitoring (1st)

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 Splunk AppDynamics is 2.5%, down from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
Splunk AppDynamics	2.5%
BigPanda	0.6%
Other	96.9%

IT Infrastructure Monitoring

Q&A Highlights

SystemsEngineer234z

Principal Enterprise Systems Engineer at a healthcare company with 10,001+ employees

Dec 10, 2020

Any advice about APM solutions?

We are currently going through a paper-based analysis to select an Enterprise APM solution. Our Contenders are 1. Dynatrace 2. Cisco(AppDynamics) 3. Broadcom DX-APM Shortlisted based on existing relationships with other products and services they provide. We discounted New Relic- despite their growing capability - as they are yet to enter the enterprise APM solution scene. With regards to your response "We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing .." : Will you be willing to expand on Appd - what was your experience and issues w.r.t licensing. These could help us with our evaluation. Much appreciated. Regards Adrian

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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.

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Yasir Amin

Sr. Solution Architect, Project Manager at The National Commercial Bank

Root cause analysis has become possible but complex setup and agent issues still slow investigations

The limitations I notice include the instability of the agent, which crashes, and the application itself consuming memory under heavy loads. Additionally, the customizations are not easy to build, especially for new parsers and functionalities that are just supported out-of-the-box. Splunk AppDynamics needs to be more user-friendly so that even someone who does not know what is happening should be able to easily find the root cause of issues, as the tool is specifically designed for application developers, not from a user perspective for problem identification. My experience with the application performance monitoring capabilities of Splunk AppDynamics indicates that it is complex. The correlation from the front end to the back end is not working properly. In an application using the EUM feature and having the app agent, the app agent gives me the transaction data, but the EUM data does not correlate to the backend transactions, and I do not know why. It can be very complex to find the root cause in those scenarios, as there is a disparity in metrics, making it challenging. Even though Splunk AppDynamics is trying, my very large environment presents hurdles that medium-scale organizations might not experience. After spending around three to four years trying to get value from it, I still feel a lack of satisfaction. To get closer to a rating of 10 in the future, I would like to see whatever features are being provided made to work, particularly in large environments. Splunk AppDynamics claims it can do 100 things, but if those things are not functioning cohesively, it is ineffective. Instead of offering 100 features that do not work together, it would be better to focus on a smaller set of features that operate effectively. Changes happen daily with new applications and technologies, and Splunk AppDynamics needs to adapt more swiftly to keep up. The feature that helps detect and protect against vulnerabilities does raise concerns. I experience vulnerabilities in Splunk AppDynamics that I communicate to support for fixes, and they often respond by indicating that some fixes are available in new versions. This creates a continuous cycle of raising issues and waiting for resolutions through version updates.

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Answers from the Community

SystemsEngineer234z

Principal Enterprise Systems Engineer at a healthcare company with 10,001+ employees

Dec 8, 2020

Any advice about APM solutions?

2 out of 5 answers

reviewer802371

Service Assurance, Senior Manager at a computer software company with 1,001-5,000 employees

Oct 20, 2020

Could you please share your requirements ? There are a lot tools can be added to the list. I spent almost 6 months to test and check many tools then I select eG enterprise.

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reviewer1352679

IT Technical Architect at a insurance company with 5,001-10,000 employees

Oct 20, 2020

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 monitoring. We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace. Due to a highly mature ELK implementation, we are not trying to incorporate log analytics into solution buy may consider in the future. We had AppD, Dynatrace, New Relic, and CA Wily all in house at the time of our evaluation. We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing. Between Dynatrace and New Relic, Dynatrace won based on the automation, integrated AI, support for "old" techs, and confidence we could eliminate multiple APM and infra monitoring tools. I would not include products like BigPanda, MoogSoft, in this analysis. They are not monitoring solutions but event correlation solutions. You will need additional monitoring products to capture data and feed them. Having said that if you cannot consolidate tools you will likely need to purchase an event solution to make sense of all the alarms. We did evaluate these products but with Dynatrace AI did not feel the business value was there for the investment. Here's a quick pro/con list on Dynatrace & New Relic from our analysis. New Relic Pros: Insights is an awesome product and capability. Lots of capabilities and plugins to extend data collection. The APM dashboard is aesthetically pleasing and intuitive. Good training and documentation are available to support the product. New Relic Cons: Requires lots of manual configurations to implement and support. Insights product requires an investment of time to achieve value. Licensing is a nightmare as there is virtually no transparency in what you are being charged for. Lack of solution to consolidate alerts across implementation other than significant investment in insights to manually achieve this. Dynatrace Pros: Very simple to implement and maintain with out of the box automation which supports modern (cloud/Kubernetes) and "old" (mainframe). In-app chat is helpful. High integration of infra and APM data for full-stack observability and engineering. Topology and trace discovery is more reliable than other products or our CMDB. Synthetics are easy to set up for any user. AI-assisted problem analysis on the trace discovery streamlines troubleshooting. AI includes "events" in an analysis like VMotion, deployment events. Have not done yet but looking to leverage monitoring as code for a fully integrated and automated delivery pipeline. See keptn.sh open source project. Dynatrace Cons: User SQL lacks some functions of NRQL for user analysis. Host, process, and service data is not available to query within the product. Alarm processing lacks some granular controls. The Plug-in library is less robust. Good luck with your decision!

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Outsourcing Company

Manufacturing Company

Healthcare Company

Financial Services Firm

20%

Outsourcing Company

10%

Construction Company

Manufacturing 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	65
Midsize Enterprise	38
Large Enterprise	208

Questions from the Community

Any advice about APM solutions?

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...

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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 ...

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What needs improvement with AppDynamics Server Monitoring?

There is room for improvement in auto-discovery and mapping. While it is very good, sometimes we need customization to match our application or business needs, but currently it is satisfactory. If ...

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What is your primary use case for AppDynamics Server Monitoring?

I use Splunk AppDynamics data collection features with agents. It is on-premises, particularly in hybrid and on-premises environments. I have used Splunk AppDynamics for business transaction monito...

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What advice do you have for others considering AppDynamics Server Monitoring?

I have not used Splunk AppDynamics' AI-powered anomaly detection and root cause analysis yet. We are not using Splunk AppDynamics' digital experience monitoring very much, so my experience on it is...

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

Dynatrace vs Splunk AppDynamics

Compared 5% of the time

Splunk Enterprise Security vs Splunk AppDynamics

Compared 4% of the time

New Relic vs Splunk AppDynamics

Compared 3% of the time

BMC TrueSight vs Splunk AppDynamics

Compared 3% of the time

Datadog vs Splunk AppDynamics

Compared 3% of the time

More Splunk AppDynamics Competitors

Product Reports

Buyer's Guide

BigPanda

November 2026

Download BigPanda product report

Buyer's Guide

Splunk AppDynamics

October 2026

Download Splunk AppDynamics 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

Splunk AppDynamics is a comprehensive performance monitoring tool providing end-to-end transaction tracking, real-time monitoring, and a user-friendly interface. With AI-powered features, it enhances operational efficiency and resilience by offering insights into user interactions and infrastructure issues.

Splunk AppDynamics excels in monitoring applications and infrastructure performance, offering extensive support across environments like AWS and cloud. It aids in application performance monitoring, end-user experience, database analysis, and proactive incident detection. Supporting Java, .NET, and other technologies, it provides real-time insights into application health, resource utilization, and transaction tracking, ensuring reliable user experiences. Challenges remain in UI complexity, agent-based architecture, integration with diverse environments, and documentation clarity. Its licensing model is costly, and customer support may be slow. Performance concerns exist in historical data granularity and network visibility.

What features make Splunk AppDynamics stand out?

End-to-End Transaction Tracking: Monitors entire user transactions for comprehensive visibility.
Real-Time Monitoring: Provides instant insights into system performance.
AI-Powered Anomaly Detection: Identifies anomalies with advanced machine learning techniques.
Code-Level Troubleshooting: Diagnoses issues at the code level for precise fixes.
Business Transaction Visibility: Offers detailed views into transaction flow across all system layers.

What benefits and ROI can users expect from Splunk AppDynamics?

Improved Application Performance: Enhances system efficiency and reliability.
Operational Efficiency: Streamlines monitoring and issue resolution processes.
Enhanced Business Resilience: Strengthens the ability to adapt to performance challenges.
Seamless User Experiences: Ensures uninterrupted service and user satisfaction.

Organizations in industries like finance and healthcare implement Splunk AppDynamics to monitor critical applications and infrastructure. Its capabilities in transaction tracking and AI-driven insights are crucial for maintaining system reliability, supporting technologies such as Java and .NET, and ensuring optimal resource utilization.

Splunk

Sample Customers

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

Cisco, Sony, Nasdaq, Reserve Bank of New Zealand, Edmunds.com, Puma, Fox News, DirecTV, Pizza Hut, T-Systems, Cornell University, OpenTable, BITMARCK, Green Mountain Power, Care.com, Overstock, Paddy Power, eHarmony, Kraft, The Motley Fool, The Container Store, and more See more customers

Buyer's Guide

BigPanda vs. Splunk AppDynamics

November 2026

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