Data Model In Splunk ( Part-I) Data model is one of the knowledge objects available in Splunk. This applies an information structure to raw data. The main function of a data model is to create a pivot table for the end-users.
The Splunk Common Information Model (CIM) is a shared semantic model focused on extracting value from data. The CIM is implemented as an add-on that contains a collection of data models, documentation, and tools that support the consistent, normalized treatment of data for maximum efficiency at search time.
What is Splunk?
A data platform built for expansive data access, powerful analytics and automation Learn more MORE FROM SPLUNK Pricing Free Trials & Downloads Security Investigation & Forensics Security Analytics (SIEM).
Splunk is a type of tool which is used for log management of devices and analyses the data generated from devices. The Splunk tool analyzes the data generated from the machine and then convert the unstructured raw data into some human-readable form.
Another thing we wanted the answer to was, what is a knowledge manager in Splunk?
These knowledge managers understand the format and semantics of their indexed data and are familiar with the Splunk search language. In building a typical data model, knowledge managers use knowledge object types such as lookups, transactions, search-time field extractions, and calculated fields.
The Pivot tool lets you report on a specific data set without the Splunk Search Processing Language (SPL™). Data models and their datasets are designed by the knowledge managers in your organization. They do a lot of hard work for you to enable you to quickly focus on a specific subset of event data.
The implementation of the tool is expensive when it is compared to other tools like the Datadog tool. The Splunk tool features are a bit expensive for installation in the system. The Datadog tool does not support the front- end application it only supports the back-end applications. The Splunk tool supports the front-end application.
Datadog vs splunk?
The implementation and installation of the Datadog tool is easy and comes with different features whereas, on the other hand, the Splunk tool requires additional technical support for the installation of the tool on the system. The other key difference between Datadog vs Splunk is the use of programming languages.
Datadog is more expensive to implement (TCO) than Splunk, Splunk is rated higher (83/100) than Datadog (77/100). Splunk offers more features (3) to their users than Datadog (0).
What is Datadog?
Introduction to Datadog and Splunk Datadog is a type of monitoring tool which is mostly used for the cloud-based application and to monitor the database, services, servers, and other tools and also measure the performance of the applications. Datadog tool uses the Software as the service (Saa. S) platform for implementation in the application.