Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$18
per month per host
Dynatrace
Score 8.4 out of 10
N/A
Dynatrace is an APM scaled for enterprises with cloud, on-premise, and hybrid application and SaaS monitoring. Dynatrace uses AI-supported algorithms to provide continual APM self-learning and predictive alerts for proactive issue resolution.
$0
per synthetic request
Splunk AppDynamics
Score 8.4 out of 10
N/A
AppDynamics is an APM and Mobile APM program, with application mapping and predictive capabilities. These capacities enable automated remediation and code-level diagnostics in real time. It can be deployed on-premise or as a SaaS.
N/A
Pricing
Datadog
Dynatrace
Splunk AppDynamics
Editions & Modules
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
Synthetic Monitoring
$0.001
per synthetic request
Kubernetes Platform Monitoring
$0.002
per hour for any size pod
Real User Monitoring
$0.00225
per session
Application Security
$0.018
per hour for 8 GIB host
Infrastructure Monitoring
$0.04
per hour for any size host
Full-Stack Monitoring
$0.08
per hour for 8 GIB host
No answers on this topic
Offerings
Pricing Offerings
Datadog
Dynatrace
Splunk AppDynamics
Free Trial
Yes
No
Yes
Free/Freemium Version
Yes
No
Yes
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
Optional
No setup fee
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
Easier to set up and integrate with other auxiliary tools. The cost was also a benefit along with self-service capabilities. We could set up Data Dog by ourselves, versus needing to bring additional consulting efforts to setup Dynatrace. Reliability of results (less false …
Dynatrace was cheaper but, in my opinion, its setup, features, and overall user experience do not come close to what Datadog can offer, making it more of a pain to use and not worth the cheaper cost over Datadog (especially if migrating away from Datadog to Dynatrace).
First think first - it's easy to use, and very easy to implement in any infrastructure. It provides a custom dashboard and monitors. I’ve used or evaluated Grafana, Prometheus, Amazon CloudWatch, and Dynatrace, and each tool has strong capabilities. Prometheus + Grafana provide …
Datadog is best for cloud-native and fast-setup. It is more mature for infrastructure and real-time observability. The UI is more user-friendly and provides wide coverage of app insights.
UI of the Datadog is easy to understand and integration steps are easy to understand. It also provides the troubleshooting steps which are easy to understand. Supports multi cloud integrations which is very important for all the customers to know about the cloud service's …
Verified User
Engineer
Chose Datadog
I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause …
Datadog crushed the competition on price and offering more solutions in one product cutting down on implementation time and effort while ensuring that the "integration" between one of their offerings was completely compatible with any of the others. I'm sure it's not the case …
The first reason for selecting Datadog was of course it's pricing which is quite better in terms of competitor like AppDynamics and splunk. Second thing is versatile services which they are offering on one platform which means entire end to end services can be monitor at one …
It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an …
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
Datadog is a good system but does lack a lot of features provided by Dynatrace, and more importantly, it does not have the support Dynatrace provides. Many other systems, Zabbix, Nagio, AppDynamics also exist, but so far, Dynatrace really shines above them all.
Dynatrace gives the overall picture of the application usage and performance by default with minimal configurations whereas in Datadog a lot of manual intervention is required to analyze the application performance and troubleshooting the issues. Dynatrace is user-friendly when …
Dynatrace has three key points: ease of deployment, ease of access and a very low learning curve. Also the info provided by the DT agents are easy to understand and relate to root cause. Also the user interface is very simple and can be configured/shared to provide the data to …
We selected Dynatrace because it is much more modern and depends on AI, on auto-discovery, and other features, making it really a next-gen monitoring solution. It is not easy to on-board to Dynatrace, as it has an extremely steep learning curve. It is also possible that other …
Some of these tools we use alongside Dynatrace, and others we chose Dynatrace over. Since Ruby is not a Dynatrace supported language, we use New Relic to monitor those applications. We are an AWS shop so naturally, we use CloudWatch metrics for things like auto-scaling where it …
I have used a plethora of Application Performance Management (APM) tools, all have their niche. Dynatrace provides the best-in-class experience for support, operations, and platform engineering teams. In addition, access for my Enterprise Development teams has been critical. …
Verified User
Administrator
Chose Dynatrace
AppDynamics and New Relic did not provide the ease of usability and the amount of automation that Dynatrace is able to provide us.
Dynatrace was the easiest to use. AppDynamics was a close second. The Dynatrace AI agent was extremely impressive. Others are working on it but don't seem to be there yet. The Dynatrace roadmap and vision (coupled with execution to this point) matched where we were going the …
Dynatrace is easy to on-board. Easy and quick to find any performance issues. Back-tracking of dependency calls is easy. I think these are the features missing from other APM tools.
Our technical team showed me the completeness of Dynatrace against the competitors. Also, the breadth of services Dynatrace offered was a selling point.
Dynatrace ended up being our choice over AppDynamics and Adobe Analytics because of the full stack monitoring capabilities. Where these other products allowed us to see limited slices of our environment, Dynatrace promises to give full visibility into everything. We started out …
Unsure as I was not a part of the initial POC for Dynatrace. Dynatrace was already deployed before I was employed. I wish that I could provide more detail into the differences, but I have not had the chance to review what was offer with Cisco's product.
Dynatrace was easier to install and provided far greater coverage. It was implemented within one day onsite without consulting services. Others had large consulting services costs. It provided detail coverage not just samples and kept the detail of all transactions and flows …
Verified User
Manager
Chose Dynatrace
Dynatrace stacks well against all competitors. It differentiated itself with its deeper analysis capabilities when it comes to down to the problems that can occur at a code level. We selected Dynatrace over the competitors for this reason as well as the vision it had for the …
AppDynamics is easy to use when compared with Datadog and provide rich user interface. We prefer AppDynamics as it gives more data insight. We can easily install the AppDynamics agent and integrate with application. Also AppDynamics subscription cost was in budget with our …
Unfortunately, I wasn't in the company when the decision was made, hence can tell just because. What I can tell from my experience, it was not a bad choice and alternatives like New Relic or Datadog provide more or less similar functionality. In most cases the main reasons are …
At that time, AppDynamics was performing well and securely in the enterprise environment and was well adapted to all monitoring and observability features, so AppD was chosen over Datadog. Now the organization has started using Datadog for a few applications.
Splunk AppDynamics is a quite renowned player and can be called legacy in front of them and apart from that, its integration with various services is unmatched.
Splunk AppDynamics is ideal for enterprises seeking business-centric observability with fast, out-of-the-box performance monitoring. It connects application health to business outcomes through Business iQ, enabling real-time insights for stakeholders. With broad technology …
Cisco's AppDynamics solution has been used for several years because it has a low level of complexity for registering alarms, editing dashboards, instrumenting monitoring agents, managing user credentials, and integrating with other systems, stability, and low volume of new …
Our organization prefers AppDynamics for its focus on user experience and business metrics which is quite useful for aligning IT performance with organization goal. it is also known for its AI driven insights and monitoring capabilities making it very effective as compares to …
AppDynamics is a mature product with probably the simplest of UIs to use which is a huge benefit. I can train users to be proficient in AppDynamics in under an hour. But the product can definitely do some very advanced operations... depending on the need.
It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
AppDynamics excels at delivering extensive insights into the performance of apps at the code level. It enables developers to zero in on certain lines of code or modules that are causing performance difficulties, making it possible for more effective debugging and optimization. …
It's easy to customize alerts into easy notifications, view everything in a graphical manner, and it's easy to understand. AppDynamics helps us to understand and monitor our network and servers related issues before they cause an impact on our business processes or clients. …
Verified User
Team Lead
Chose Splunk AppDynamics
Ease of use, the fast pace of the product growth.
Analytics and BiQ is a huge bonus for adding value to Business who ultimately are the owners as they pay for AppDynamics.
AppDynamics is more a graphical representation of data, where as other tools like Splunk shows data in a table format using Query structure. AppDynamics helps is in analyzing system performance, but other tools just help to log the data and send alerts upon manual setting. …
AppDynamics falls under Cisco's Full Stack Observability and is now deeplyintegrated with Thousand Eyes, Secure App and Intersight covering addional monitoring layes that no other solution out there does well.
AppDynamics is the legacy product with the most experienced in the APM side of the business. Due to its duration in the market product has evolved and has matured to a certain level that other products have not been reached yet which gives an edge from the branding perspective.
Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
Dynatrace is well suited to a number of tasks. It is important to determine who the end users are and gather good information to tailor their experience accordingly. For instance, business/marketing should not have access to some of the more technical data, and business metrics can be a distraction for IT operations personnel.
Platforms for software as a service (SaaS) frequently cater to a large number of users with a variety of needs and usage patterns. Because AppDynamics offers multi-tenant monitoring capabilities to track performance across various customer environments, it is a good choice for SaaS platform monitoring. SaaS providers can maximize resource utilization, proactively detect and resolve performance issues, and provide a dependable and consistent user experience for their clients with AppDynamics.
The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
We loved Dynatrace's ability to show the data flow - from the front end points through the back end points straight to the database and various API's. It was advanced in its data visualization. This is useful for debugging - showing when/where the errors are. It can even enable non-technical individuals in the corporation to help debug
Dynatrace has some great highly customizable integration options as well as monitoring. You can configure your layout & integration options to create custom monitoring alerts for your applications performance. Further you can increase the extensibility of using a REST API on your architecture.
Some advanced dev-ops systems are utilizing Kubernetes/docker aswell as Node.JS - Dynatrace was able to log and help understand all of our dev-ops needs. It gave us native alerts based off of deviations from the baseline that we set during initial configuration. These metrics are priceless.
Business Transaction Monitoring is one of its signature strengths. This represents a major differentiator from generic infrastructure monitoring tools.
AI‑driven anomaly detection and intelligent alerting provide a significant advantage over traditional monitoring.
When combined with Splunk AppDynamics, full‑stack observability becomes a key part of Cisco/Splunk’s unified observability strategy.
Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
I would appreciate more supportive examples for how to filter and view metrics in the explorer
I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
Dynatrace does not monitor easily on a C-based application.
The way DPGR is addressed by Dynatrace is not very complete, and not clear. One thing is to mask the IP and request attributes but is not enough, the replay session feature is great but raises serious questions about user tracking.
AppDynamics may enhance its capacity to track transactions through complex distributed systems and microservices, offering a more comprehensive understanding of application behavior.
Better search and filtering capabilities would enable engineers to quickly obtain deeper context by drilling down into individual data points.
AppDynamics might be more widely available to engineers and organizations if it offered subscription plans or tiered pricing options.
We have already renewed our purchase with the company. They make it easy for us to get a temporary license for our contingency site that is only used for testing twice a year. We are expanding our license with for this tool. We find it very useful and will renew it again.
cause it achieves all our targets and we are satisfied with using Splunk also stable no technical challenges or problem caused by Splunk a lot for innovative integrations also all layers are using splunk NOC team , DEV team, application support team, managers security team also in forcasting for EA team
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
Dynatrace is great to use once you understand how to use it correctly and get used to the layout of it. While I do not actively use it every day, whenever I do use it, I do have to get refamiliarized with it. However, once you have your dashboards setup correctly with the data that you want to see when you first login to Dynatrace, it's amazing.
Splunk AppDynamics is great product that has positively maintained solid application workflows. It has simple and clean UI that displays graphical representation of our database and application behaviour. It gives us an opportunity to customize and set most reliable alerts and data configurations that aligns with our policies. It is easy to monitor operation hypothesis and lower RCA if you identify application coding errors.
On a scale of 1 to 10, I would rate the availability of Splunk AppDynamics as a 9. Overall, the platform has proven to be highly reliable and is available when we need it. It consistently supports our monitoring and performance management needs across critical applications and infrastructure. There have been occasional issues with platform availability, such as intermittent application errors or brief unplanned outages. However, these instances have been infrequent and typically resolved quickly, minimizing any significant impact on operations. The stability and uptime of the platform have met our expectations, and we continue to rely on it as a core component of our APM strategy.
On a scale of 1 to 10, I would rate the performance of Splunk AppDynamics as a 6. While the platform generally delivers the expected functionality, we’ve experienced periodic slowness—particularly with page loads and report generation. These performance issues can be frustrating, especially when trying to quickly access critical data during incident response or analysis. One contributing factor may be our use of a shared controller environment with other enterprises, which can introduce resource contention and impact overall responsiveness. In some cases, this has led to delays in accessing dashboards or completing complex queries. Despite these challenges, the platform remains a valuable tool, and we’re exploring options to improve performance, including potential changes to our deployment model and support agreements.
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
Given that Dynatrace has become an informal industry standard, the plethora of information available on forums is massive. Most problems or roadblocks you come across are most likely (almost certainly, in fact) already solved and solutions available on these forums. The tech support at Dynatrace is also quite good, with prompt and knowledgeable people at their end.
AppDynamics has its own community site that includes forums and a knowledge base. On the forums, you can converse with other members of the community and ask technical questions as you have them. Though this forum isn’t filled with people there are active members for you to gain some valuable insights.
On a scale of 1 to 10, I would rate the online training for Splunk AppDynamics as a 7. The training was generally acceptable and covered the core concepts and functionality of the platform. However, there were some challenges with communication during sessions—particularly around clarity and instructor engagement—which occasionally made it difficult to fully grasp certain topics. Additionally, the training could benefit from being more focused and tailored to specific roles or use cases. A more structured approach with clearer learning paths and practical, hands-on examples would enhance the overall effectiveness and help users apply the knowledge more confidently in real-world scenarios.
On a scale of 1 to 10, I would rate our satisfaction with the implementation of Splunk AppDynamics as a 9. The deployment process was smooth and well-coordinated, thanks to the collaborative efforts between Cisco Professional Services, our internal business stakeholders, and agency technical teams. Key Insights from the Implementation: Cross-functional Collaboration Was Critical: Engaging both technical and business teams early in the process ensured that the platform was configured to meet a wide range of operational and strategic needs. Value of Expert Guidance: Cisco’s Professional Services provided invaluable expertise, helping us navigate complex configurations and tailor the solution to our environment. Their involvement accelerated deployment and ensured best practices were followed. Importance of Planning and Communication: A well-defined implementation roadmap and regular communication across teams helped us stay aligned, manage expectations, and address challenges proactively. Scalable Architecture: We designed the implementation with scalability in mind, allowing us to expand usage across agencies and applications without major rework. Overall, the implementation laid a strong foundation for our APM program and positioned us for long-term success.
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.
Key features:
Logs, metrics, and APM (Application Performance Monitoring)
Real-time alerting and dashboards
Supports Kubernetes, AWS, GCP, and other integrations
RUM (Real User Monitoring) and Synthetics
✅ Best for backend, server, and distributed systems monitoring.
Synthetic Monitoring automatically does what other products do only through the use of other tools or through the development of user applications that still have a high cost of maintenance. The other products are not immediately usable and require many customizations. Through the use of configuration automatisms, you can be immediately operational and, in our case, we detected several imperfections in the applications.
It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
While the overall value of the Splunk AppDynamics platforms is strong, the pricing structure and contract terms can be complex and difficult to navigate. Unit pricing, licensing tiers, and billing frequency are not always intuitive, which can make it challenging to align purchases with the State’s evolving needs. I rely heavily on our Account Manager to help interpret and tailor the licensing model to our specific requirements. Their support has been invaluable in ensuring we make informed decisions. The most impactful change would be to simplify the licensing and pricing model. Clearer documentation, more transparent pricing tiers, and streamlined purchasing processes would significantly improve the experience and reduce administrative overhead.
On a scale of 1 to 10, I would rate the overall scalability of Splunk AppDynamics as a 7. The platform is designed to support enterprise-wide deployments across multiple departments and sites, and it performs well in large-scale environments. Its architecture allows for horizontal scaling and supports a wide range of application types and infrastructures. However, the agent management and deployment process can be complex and time-consuming, especially when onboarding a large number of applications or systems. Coordinating agent installation, configuration, and updates across diverse environments requires careful planning and often significant manual effort. Streamlining these processes—perhaps through more centralized management tools or automation—would enhance scalability and reduce operational overhead. Despite these challenges, once deployed, AppDynamics scales effectively and provides consistent performance and visibility across the enterprise.
Our experience with the professional services team supporting Splunk AppDynamics has been exceptional. They demonstrated deep technical expertise, strong collaboration skills, and a clear understanding of our business objectives. Their guidance was instrumental in the successful implementation of our APM program and platform integration. The rating of 9 reflects our high level of satisfaction, with a small margin left to acknowledge that continuous improvement is always possible. Overall, their support has been a key factor in the success of our deployment.
Through the identification of performance bottlenecks and efficient resource allocation, AppDynamics has contributed to cost savings and resource optimization. This has a direct positive impact on our overall return on investment.
While AppDynamics' numerous capabilities help maximize efficiency, they may place a strain on your system. Organizations with limited infrastructure capacity may have difficulties and therefore give this serious thought before implementing it.