Difference Between Dynatrace and Splunk (With Table)

While a person is starting a company or a business the thing that is crucial is the management, manipulation, inter-relation, and analysis of data. We can also say that it can be done with human resources however if the data is huge, it is obvious to involve a machine or artificial intelligence in order to complete the task. IT and data monitoring softwares are best for such cases. They perform various types like correlating real-time data, storing it, and making visuals like alerts, graphs, or charts to make it understandable for humans.

Dynatrace and Splunk are two data monitoring softwares. Although they are a lot different from each other, it is better to combine them together in order to make your business reach the top.

Dynatrace vs Splunk

The difference between Dynatrace and Splunk is that Dynatrace on one hand is used for end-to-end instrumentation that is used to produce high-value data whereas, on the other hand, Splunk is used to store logs and metrics collected from these high-value data and correlate them.

Comparison Table Between Dynatrace and Splunk

Parameter of ComparisonDynatraceSplunk
Ease of UseDynatrace has a very simple designed interface for users which makes even a new user quickly comfortable. Splunk offers a simple and elegant interface that is loved by the customers. However, the interface is not that smooth to work with as compared to Dynatrace.
Ease of SetupThe procedure of setting up Dynatrace is pretty impressive. Anyone with a user guide can easily set up the application and work with it.Splunk can also be easily set up but it contains some steps which might make a non-technical user uncomfortable.
Customer Support QualityThe support quality of Dynatrace is so responsive and active. They have various mediums to solve the issues of users and also have a special setup for urgent cases.Splunk provides amazing customer support with chats as well as calls. The tech support team works actively.
Data PreparationDynatrace does hardcore generation of high-value data through end-to-end instrumentation.Splunk does not have a service of data preparation. Its services are used on the data.
Observability and IndexingDynatrace does a great job when it comes to the observability of data.Splunk is a better option for observing, indexing, and correlating data. It also stores the observed data in the form of logs or a matrix.

What is Dynatrace?

Dynatrace is a full-stack, AI-powered automated performance management service providing company. It offers customer experience analysis that identifies and resolves software performance-related problems faster than ever before.

The company promises to deliver observability which is more than just metrics, traces, and logs. It is finally possible to automate operations and collaborate in a better way through Dynatrace. It provides support for technologies that are used most and offers precise answers through a full-stack topological model along with an unparalleled AI engine.

Dynatrace has a user-friendly interface that is easy to set up and has tons of amazing features. It also provides analytics vMotion events detection Discovery performance.

What is Splunk?

Splunk is a company that produces software for monitoring, searching, analyzing, and visualizing machine-generated huge data with the help of a web-style interface in real-time. It offers the leading platform for operational intelligence. It performs various tasks like capturing, correlating, and indexing the real-time data in a container that is searchable and results in various vital alerts, graphs, dashboards, and visualizations. Some of the amazing features of Splunk are:

  1. It accelerates development and testing
  2. It allows the user to built real-time data software
  3. It offers agile statistics along with reporting with real-time architecture

There are three versions in which Splunk products are available: Splunk Light, Splunk Enterprise, and Splunk Cloud.  Splunk architecture has a forwarder, indexer, and a search head which allows users to search, analyze, and visualize data through various processes.

Main Differences Between Dynatrace and Splunk

  1. Dynatrace as well as Splunk offer a very simple and elegant design and interface for its users which are highly appreciated by even new users. However, Dynatrace wins over Splunk by providing a more user-friendly environment.
  2. Setting up procedure in the case of Dynatrace pretty easy and even with a user guide can easily set it up. Splunk also sets up in simple steps but it might get a little complicated in some cases.
  3. The customer support quality of Dynatrace is active with various mediums to communicate. Splunk also does the same but lacks a bit as compared to Dynatrace.
  4. Dynatrace is solely used for the production of high-value data with the help of end-to-end instrumentation while Splunk is not used for the data preparation tasks.
  5. Dynatrace observes the data very closely but it is not as efficient as Splunk. Splunk has amazing features that observe, analyze, index, correlate, and store data in a very efficient way.


We can easily say that Splunk is an analytics tool and data repository. It mainly is just a storage for matrix and logs collected in various ways however Dynatrace is way much different and bigger because you see single transactions with database calls, MQ, WebRequests, and so on along with user perspective. Dynatrace is used for the hard part that is end-to-end instrumentation that produces high-value data like Smartscape. 

We cannot simply compare the two for each and every solution because these are two totally different classes of use cases and products. We can see that there are some overlapping in the functionalities but while observing closely, it is very interesting to find that they are two totally different services, and when combined, they work amazing.

For a business to grow, it is best to combine both of them to enjoy the most benefits. Dynatrace is going to do the of producing high-value data with the amazing set of tools it has and Splunk is going to do further things on that data.


  2. https://patents.google.com/patent/US20200073717A1/en