Datadog vs Splunk AppDynamics comparison

Datadog and Splunk are both solutions in the Application Performance Monitoring (APM) and Observability category. Datadog is ranked #1 with an average rating of 8.7, while Splunk is ranked #3 with an average rating of 8.2. Datadog holds a 5.5% mindshare in APM, compared to Splunk’s 3.6% mindshare. Additionally, 97% of Datadog users are willing to recommend the solution, compared to 91% of Splunk users who would recommend it.

Datadog

Read 209 Datadog reviews

22,772 Views
13,208 Comparison Views

97% willing to recommend

Splunk AppDynamics

Read 258 Splunk AppDynamics reviews

13,654 Views
10,377 Comparison Views

91% willing to recommend

Datadog

Splunk AppDynamics

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Executive SummaryUpdated on Nov 23, 2025

Splunk AppDynamics and Datadog are leading tools in application performance monitoring and observability categories. Splunk AppDynamics holds an edge in transaction visibility and diagnostics, while Datadog is favored for its intuitive dashboards and diverse alert mechanisms.

Features: Splunk AppDynamics offers deep transaction visibility, adaptive baselines, and granular performance diagnostics across complex environments. This allows for detailed insight into application performance, which is beneficial for diagnosing complex issues. Datadog, on the other hand, provides intuitive dashboards, diverse alerting mechanisms, and comprehensive visualization by integrating logs, metrics, and traces into a single platform.

Room for Improvement: Users of Splunk AppDynamics report a desire for better integration with modern cloud services, improved network monitoring, and a unified agent system. The platform's complexity and granular views can also overwhelm new users. In contrast, Datadog users have highlighted challenges with its complex pricing model and unexpected costs, and they seek improvements in support documentation and the intuitiveness of log searches.

Ease of Deployment and Customer Service: Both tools support hybrid and multi-cloud environments, with Splunk AppDynamics offering more robust on-premises solutions. Users appreciate Splunk AppDynamics for personalized customer support and dedicated account managers, while Datadog is noted for ease of use in cloud settings, although some users mention occasional slow support response times.

Pricing and ROI: Splunk AppDynamics is perceived as a premium solution with high costs justified by its comprehensive capabilities. The segmented licensing model and agent-based approach can increase costs but allow for tailored solutions. Datadog offers flexible pay-as-you-use pricing, facing challenges with cost predictability as usage scales. Both solutions provide solid ROI by reducing downtime and accelerating issue resolution, though Splunk AppDynamics often involves higher initial expenses for advanced features.

To learn more, read our detailed Datadog vs. Splunk AppDynamics Report (Updated: December 2025).

Buyer's Guide

Datadog vs. Splunk AppDynamics

December 2025

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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

6.4

Datadog boosts ROI by reducing downtime, enhancing reliability, optimizing resources, improving cost efficiency, and expediting issue resolution.

Sentiment score

6.5

Investments in Splunk AppDynamics improve productivity, software quality, troubleshooting, and operational efficiency, enhancing customer satisfaction and reducing costs.

Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.

Prakash Pandey

IT Manager at Liberty Mutual Insurance

Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.

reviewer2767362

Sr. Cloud Infrastructure Engineer at a tech vendor with 51-200 employees

I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.

Carson Waldrop

QA Engineer at Townsquare Interactive

For more quotes and insights, download the Datadog 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

6.7

Datadog offers knowledgeable support but has variable ticket resolution and communication challenges, with limited direct engineer access.

Sentiment score

7.2

Splunk AppDynamics is praised for responsive customer service, though some complex issue resolutions need improvement.

When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.

Laurie Mordick

Applications Web Services Technical Engineer at Ace Hardware

Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.

Thomas Harrison

Systems Administrator at Townsquare Interactive

I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.

Nikki L.

Security Engineer at Invitation Homes

For more quotes and insights, download the Datadog report

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

They help us resolve any issues raised by our team relating to operations, application instrumentation, or any other issues.

Gyanesh Rahatekar

Back office at Reliance Industries Ltd

For more quotes and insights, download the Splunk AppDynamics report

Scalability Issues

Sentiment score

7.6

Datadog scales efficiently across diverse environments, handling increased workloads seamlessly, though costs may rise with extensive usage.

Sentiment score

7.3

AppDynamics is scalable and adaptable, though costly for small enterprises, with seamless scalability and effective monitoring capabilities.

Datadog's scalability has been great as it has been able to grow with our needs.

Prakash Pandey

IT Manager at Liberty Mutual Insurance

We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.

Thomas Harrison

Systems Administrator at Townsquare Interactive

Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.

Corey Peoples

Senior Custom Software Development Consultant at a tech vendor with 501-1,000 employees

For more quotes and insights, download the Datadog report

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

I assess how Splunk AppDynamics scales with the growing needs of my organization as good, since we are growing and adding more servers.

reviewer2756163

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

For more quotes and insights, download the Splunk AppDynamics report

Stability Issues

Sentiment score

8.0

Datadog is praised for its reliable performance with minimal downtime and quick resolution of occasional data import issues.

Sentiment score

7.8

Splunk AppDynamics is praised for reliability and stability, with minimal downtime despite occasional glitches or isolated performance concerns.

Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.

Nikki L.

Security Engineer at Invitation Homes

Datadog seems stable in my experience without any downtime or reliability issues.

Daniel Dolan

Full Stack Developer at Townsquare Interactive

Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.

Aman

Enterprise solution architect at a manufacturing company with 10,001+ employees

For more quotes and insights, download the Datadog 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

Datadog struggles with complex pricing, customization needs, usability, and requires improved integration, training, and cost management for large organizations.

Users want better integration, modern UI, improved network monitoring, cloud support, and user-friendly navigation in Splunk AppDynamics.

It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.

reviewer2767305

Operations Manager at a financial services firm with 1,001-5,000 employees

We want to be able to customize the cost part, and we would appreciate more granular access control.

Andrei Mita

Service Manager at PwC

The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.

Timothy Spangler

Senior Software Engineer at Los Angeles Times Communications, LLC

For more quotes and insights, download the Datadog 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

If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.

Muhammad Zeeshan Siddiqui

Head of Technology and Services at arwentech

A good integration with Splunk would be very interesting, as Splunk is a good product for logs, and that part is currently missing in Splunk AppDynamics.

Eduardo Gallardo

Director of Technical Part at NOS SGPS

For more quotes and insights, download the Splunk AppDynamics report

Setup Cost

Datadog offers flexible pricing but can become costly with larger infrastructures; users appreciate low setup costs and initial free hosts.

Enterprise buyers should consider AppDynamics' complex pricing and value for monitoring, despite it being more expensive than alternatives.

The setup cost for Datadog is more than $100.

reviewer1599867

Senior Performance and Architecture Analyst at a manufacturing company with 10,001+ employees

Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.

Laurie Mordick

Applications Web Services Technical Engineer at Ace Hardware

My experience with pricing, setup cost, and licensing is that it is really expensive.

reviewer2767245

Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees

For more quotes and insights, download the Datadog 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

Customers have to pay a premium price, however, they receive considerable value from the product.

Muhammad Zeeshan Siddiqui

Head of Technology and Services at arwentech

All these solutions at the moment are cheap, but it is like paying for insurance; you pay insurance to avoid major damage.

reviewer2674446

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

For more quotes and insights, download the Splunk AppDynamics report

Valuable Features

Datadog excels with real-time monitoring, integrations, intuitive dashboards, and analytics, enhancing observability and operational efficiency in complex environments.

AppDynamics provides comprehensive monitoring and diagnostics tools for optimizing application performance and enhancing infrastructure visibility.

Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.

Timothy Spangler

Senior Software Engineer at Los Angeles Times Communications, LLC

Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.

reviewer2767245

Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees

Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.

Nikki L.

Security Engineer at Invitation Homes

For more quotes and insights, download the Datadog 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

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

Datadog

Ranking in Application Performance Monitoring (APM) and Observability

1st

Ranking in IT Infrastructure Monitoring

2nd

Ranking in Container Monitoring

2nd

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

209

Ranking in other categories

Network Monitoring Software (3rd), Log Management (3rd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)

Splunk AppDynamics

Ranking in Application Performance Monitoring (APM) and Observability

3rd

Ranking in IT Infrastructure Monitoring

6th

Ranking in Container Monitoring

3rd

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

258

Ranking in other categories

IT Operations Analytics (2nd), Mobile APM (1st)

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 5.5%, down from 9.7% compared to the previous year. The mindshare of Splunk AppDynamics is 3.6%, down from 5.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Datadog	5.5%
Splunk AppDynamics	3.6%
Other	90.9%

Application Performance Monitoring (APM) and Observability

Q&A Highlights

SystemsEngineer234z

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

Dec 10, 2020

Any advice about APM solutions?

The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if you need to monitor applications end to end. I have tested them all and have not found one capable to give me solutions they all report you have a problem but you need to figure out what the problems is. So we have decided to develop our own AI and it is not only monitoring OSI layer 1 -3 but layer 1-8 as well it give you a solution what has been wrong based on delays in transactions combined with security. We have deployed this now across healthcare in the USA as well Airports but it is working on every industry and working in a SaaS solution. But if I have a chose between the tools you mentioned, Dynatrace is the best choose it is easy to install and has a great interface. Also it has almost no configuration.

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Featured Reviews

Dhroov Patel

Site Reliability Engineer at Grainger

Has improved incident response with better root cause visibility and supports flexible on-call scheduling

Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.

Read full review

DevendraKumar1

Technology lead at Infosys

Has enabled us to detect issues instantly through alerts and monitor every service from a single dashboard

Splunk requires significantly more improvements compared to Splunk AppDynamics, specifically regarding the licensing aspect. Splunk renews licenses every six months, which is inconvenient. It would be better to have a one-year license to avoid needing to update keys constantly, which can only occur on weekends, making it a burdensome task. Although Splunk is better for certain use cases, Splunk AppDynamics is broader in functionality. Specifically, I want enhancements related to creating dashboards not only for logs or minor services but also for configuration levels, allowing us to check configurations immediately without manually opening the entire code when exceptions arise—a feature I wish to see improved in Splunk, although it may not be necessary for Splunk AppDynamics.

Read full review

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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.

Read full answer

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

14%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Financial Services Firm

27%

Computer Software Company

11%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	46
Large Enterprise	98

By reviewers
Company Size	Count
Small Business	55
Midsize Enterprise	36
Large Enterprise	193

Questions from the Community

Any advice about APM solutions?

See all answers

Datadog vs ELK: which one is good in terms of performance, cost and efficiency?

With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...

See all answers

Which would you choose - Datadog or Dynatrace?

Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...

See all answers

What do you like most about AppDynamics?

The solution saves time and cost.

See all answers

What is your experience regarding pricing and costs for AppDynamics?

I would rate the pricing an eight out of ten. The solution is highly expensive. Our company pays for the solution on a yearly basis, if we don't add new modules or features to the license, we need ...

See all answers

What needs improvement with AppDynamics?

The solution is available at an inflated cost.

See all answers

Comparisons

Dynatrace vs Datadog

Compared 10% of the time

Azure Monitor vs Datadog

Compared 5% of the time

New Relic vs Datadog

Compared 4% of the time

Splunk Enterprise Security vs Datadog

Compared 4% of the time

AWS X-Ray vs Datadog

Compared 3% of the time

More Datadog Competitors

Dynatrace vs Splunk AppDynamics

Compared 11% of the time

New Relic vs Splunk AppDynamics

Compared 8% of the time

Splunk Enterprise Security vs Splunk AppDynamics

Compared 7% of the time

SolarWinds Server and Application Monitor vs Splunk AppDynamics

Compared 3% of the time

Grafana vs Splunk AppDynamics

Compared 2% of the time

More Splunk AppDynamics Competitors

Product Reports

Buyer's Guide

Datadog

December 2025

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Buyer's Guide

Splunk AppDynamics

December 2025

Download Splunk AppDynamics product report

Overview

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Datadog

Splunk AppDynamics enhances application performance monitoring with advanced diagnostics and real-time insights, offering seamless end-to-end transaction tracking and infrastructure visibility.

AppDynamics provides critical tools for businesses to analyze application behavior and performance. Through innovative features like transaction snapshot analysis and adaptable dashboards, users can quickly identify and address issues, ensuring high levels of system uptime and efficiency. It is designed to support complex environments including Kubernetes and AWS, enhancing user experience by detecting performance issues early. Despite needing improvements in network monitoring and integration, it remains a robust option for tracking application health.

What are the key features of AppDynamics?

Real-time Performance Monitoring: Offers immediate insights into application behavior.
Business Transaction Tracking: Tracks transactions from start to finish for bottleneck identification.
JVM Memory Monitoring: Provides detailed JVM metrics and memory use information.
Deep-dive Diagnostics: Enables in-depth analysis of code and stack traces.
Adaptable Dashboards: Customizable views for better data interpretation.

How does AppDynamics benefit users?

Improved Incident Resolution: Faster problem detection and solution implementation.
Enhanced Application Performance: Real-time monitoring optimizes system operations.
Comprehensive Visibility: Provides a full view of application infrastructure.
Informed Decision Making: Detailed analytics guide performance improvements.
Customer Satisfaction: Enhances user experience through faster issue resolutions.

In industries like financial services and e-commerce, AppDynamics facilitates performance tracking across distributed systems, optimizing infrastructure to meet consumer demands. It excels in environments needing precise transaction monitoring and is pivotal in delivering high value and satisfaction.

Splunk

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's

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

Datadog vs. Splunk AppDynamics

December 2025

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