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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 6.6% mindshare in APM, compared to Splunk’s 3.9% mindshare. Additionally, 97% of Datadog users are willing to recommend the solution, compared to 91% of Splunk users who would recommend it.
Datadog
Read 207 Datadog reviews
  • 22,829 Views
  • 13,926 Comparison Views
97% willing to recommend
Splunk AppDynamics
Read 254 Splunk AppDynamics reviews
  • 12,292 Views
  • 9,465 Comparison Views
91% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 17, 2025

Splunk AppDynamics, Datadog, and Splunk compete in comprehensive monitoring and APM capabilities. Splunk AppDynamics seems to have an advantage in code-level deep dive analysis, while Datadog stands out for its user-friendly dashboarding and integration features.

Features: Splunk AppDynamics offers benefits like code-level deep dive analysis, JVM memory monitoring, and transaction snapshots that provide actionable insights. It also includes a thorough application flow map for visualization. Datadog is praised for strong dashboarding, an integrated tagging system, and slack integration, allowing for seamless monitoring and powerful API integrations, including APM support across multiple environments.

Room for Improvement: Splunk AppDynamics users report issues such as the complexity of licensing, high resource consumption, and difficult integration with older technologies. For Datadog, users emphasize a need for better pricing transparency, improvements in query performance, and the resolution of real-time data display delays and integration issues related to logs and metrics.

Ease of Deployment and Customer Service: Splunk AppDynamics is mostly deployed on-premises, offering strong support across public cloud and hybrid environments, with praised customer service. Datadog primarily serves public cloud environments, noted for easy deployment and prompt customer service. Both solutions offer different user experiences based on technical demands and setup complexities.

Pricing and ROI: Splunk AppDynamics has a premium pricing model, causing concerns over complex licensing and high costs with additional features, though ROI is considered favorable due to performance enhancements. Datadog is seen as reasonably priced but can become expensive with additional features; its usage-based pricing may result in unexpected expenses. However, its detailed monitoring offers value by reducing downtime and optimizing performance, leading to a good ROI.

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Buyer's Guide
Datadog vs. Splunk AppDynamics
November 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
6.5
Organizations experience significant cost efficiency and improved reliability with better debugging, proactive monitoring, and infrastructure optimization.
Sentiment score
6.9
Splunk AppDynamics enhances productivity and troubleshooting, saving costs and time, improving customer experiences, with positive overall impact.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
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.
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.
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.
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.
For more quotes and insights, download the Splunk AppDynamics report
Prakash Pandey - PeerSpot reviewerreviewer2767362 - PeerSpot reviewer
CW
DK
Gyanesh Rahatekar - PeerSpot reviewer
KM
 

Customer Service

Sentiment score
6.7
Datadog support is praised for responsiveness and expertise, though some report variability in response time and communication issues.
Sentiment score
7.3
Splunk AppDynamics is praised for its knowledgeable support and proactive outreach, though complex issues may occasionally experience delays.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
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.
For more quotes and insights, download the Datadog report
AppDynamics is much more helpful.
We got a contact, an account manager, to work directly with for technical support.
They help us resolve any issues raised by our team relating to operations, application instrumentation, or any other issues.
For more quotes and insights, download the Splunk AppDynamics report
LM
Thomas Harrison - PeerSpot reviewerNikki L. - PeerSpot reviewer
EG
NM
Gyanesh Rahatekar - PeerSpot reviewer
 

Scalability Issues

Sentiment score
7.6
Datadog offers excellent scalability and integration, but costs can rise without careful monitoring; users praise its efficiency.
Sentiment score
7.4
Splunk AppDynamics is scalable and user-friendly, managing complex environments despite some cost concerns and occasional performance limitations.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
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.
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.
I would rate the scalability of Splunk AppDynamics as a nine out of ten.
I assess how Splunk AppDynamics scales with the growing needs of my organization as good, since we are growing and adding more servers.
For more quotes and insights, download the Splunk AppDynamics report
Prakash Pandey - PeerSpot reviewerThomas Harrison - PeerSpot reviewerCorey Peoples - PeerSpot reviewerreviewer2674446 - PeerSpot reviewer
KM
reviewer2756163 - PeerSpot reviewer
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its stability, reliable uptime, minimal disruptions, and quick incident responses, ensuring consistent monitoring.
Sentiment score
7.8
Splunk AppDynamics is stable and reliable for enterprise use, with minor issues during upgrades and resource consumption occasionally.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
These incidents are related to log service, indexes, and metric capturing issues.
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.
There are no issues or bugs with the 20.4 version; it is very stable with no functionality or operational issues.
Splunk AppDynamics is superior to any alternative, including Dynatrace.
For more quotes and insights, download the Splunk AppDynamics report
Nikki L. - PeerSpot reviewerDaniel Dolan - PeerSpot reviewerreviewer2767335 - PeerSpot reviewerreviewer2674446 - PeerSpot reviewerGyanesh Rahatekar - PeerSpot reviewer
DK
 

Room For Improvement

Datadog needs improvements in query performance, user interface, integrations, documentation, cost management, mobile features, and alert customization.
Splunk AppDynamics users seek improved UI, HTML5 support, better integration, enhanced features, and simplified, cost-effective licensing.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
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.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
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.
For more quotes and insights, download the Splunk AppDynamics report
reviewer2767305 - PeerSpot reviewerTimothy Spangler - PeerSpot reviewer
IS
reviewer2674446 - PeerSpot reviewerMuhammad Zeeshan Siddiqui - PeerSpot reviewer
EG
 

Setup Cost

Enterprise users find Datadog's pricing high yet reasonable, with monitoring needed due to usage-based billing and potential cost variability.
Enterprise users find Splunk AppDynamics pricing expensive yet valuable, with costs varying by infrastructure size and feature needs.
The setup cost for Datadog is more than $100.
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.
My experience with pricing, setup cost, and licensing is that it is really expensive.
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.
Customers have to pay a premium price, however, they receive considerable value from the product.
All these solutions at the moment are cheap, but it is like paying for insurance; you pay insurance to avoid major damage.
For more quotes and insights, download the Splunk AppDynamics report
reviewer1599867 - PeerSpot reviewer
LM
reviewer2767245 - PeerSpot reviewerreviewer2756163 - PeerSpot reviewerMuhammad Zeeshan Siddiqui - PeerSpot reviewerreviewer2674446 - PeerSpot reviewer
 

Valuable Features

Datadog offers insights, monitoring, and alerting with customizable dashboards for efficient issue resolution and enhanced performance optimization.
Splunk AppDynamics offers real-time insights, performance analysis, and seamless integration for effective application performance monitoring and optimization.
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.
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.
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.
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.
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.
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.
For more quotes and insights, download the Splunk AppDynamics report
Timothy Spangler - PeerSpot reviewerreviewer2767245 - PeerSpot reviewerNikki L. - PeerSpot reviewerGyanesh Rahatekar - PeerSpot reviewerMohammed Hassan - PeerSpot reviewer
DK
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in IT Infrastructure Monitoring
2nd
Ranking in Container Monitoring
1st
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
207
Ranking in other categories
Network Monitoring Software (3rd), Log Management (3rd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th)
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
6.9
Number of Reviews
254
Ranking in other categories
IT Operations Analytics (2nd), Mobile APM (1st)
 

Mindshare comparison

As of November 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 6.6%, down from 10.1% compared to the previous year. The mindshare of Splunk AppDynamics is 3.9%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Datadog6.6%
Splunk AppDynamics3.9%
Other89.5%
Application Performance Monitoring (APM) and Observability
 

Q&A Highlights

BH
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 - PeerSpot reviewer
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
Gyanesh Rahatekar - PeerSpot reviewer
Application performance management and error resolution improved with data-driven insights
Dynatrace has multiple functions compared to Splunk AppDynamics, so Splunk AppDynamics should add those functions, which are not available as of now. Dynatrace has a universal agent that collects all information related to their CI, and if one CI has multiple languages, then there is no need to instrument multiple agents. However, Splunk AppDynamics requires multiple agents; if I have one server with multiple applications in different languages, then I need to instrument different agents for each application. Splunk AppDynamics should work with Dynatrace with one single universal agent that works with all application languages, eliminating the need for multiple implementations.
Read full review
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Answers from the Community

BH
Dec 8, 2020
Dec 8, 2020
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 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 ...
2 out of 5 answers
reviewer802371 - PeerSpot reviewer
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 - PeerSpot reviewer
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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See all 5 answers
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
Financial Services Firm
27%
Computer Software Company
13%
Manufacturing Company
7%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise95
By reviewers
Company SizeCount
Small Business55
Midsize Enterprise36
Large Enterprise189
 

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
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 Logo
Dynatrace vs Datadog
Compared 11% of the time
Azure Monitor vs Datadog Logo
Azure Monitor vs Datadog
Compared 7% of the time
Splunk Enterprise Security vs Datadog Logo
Splunk Enterprise Security vs Datadog
Compared 4% of the time
New Relic vs Datadog Logo
New Relic vs Datadog
Compared 4% of the time
Wiz vs Datadog Logo
Wiz vs Datadog
Compared 3% of the time
More Datadog Competitors
Dynatrace vs Splunk AppDynamics Logo
Dynatrace vs Splunk AppDynamics
Compared 13% of the time
Splunk Enterprise Security vs Splunk AppDynamics Logo
Splunk Enterprise Security vs Splunk AppDynamics
Compared 8% of the time
New Relic vs Splunk AppDynamics Logo
New Relic vs Splunk AppDynamics
Compared 7% of the time
Grafana vs Splunk AppDynamics Logo
Grafana vs Splunk AppDynamics
Compared 4% of the time
ITRS Geneos vs Splunk AppDynamics Logo
ITRS Geneos vs Splunk AppDynamics
Compared 3% of the time
More Splunk AppDynamics Competitors
 

Product Reports

Buyer's Guide
Datadog
November 2025
Datadog reportDownload Datadog product report
Buyer's Guide
Splunk AppDynamics
October 2025
Splunk AppDynamics reportDownload 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
November 2025
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