Splunk® Data Stream Processor

Use the Data Stream Processor

Acrobat logo Download manual as PDF


This documentation does not apply to the most recent version of DSP. Click here for the latest version.
Acrobat logo Download topic as PDF

About the Data Stream Processor

The Splunk Data Stream Processor (DSP) is a data stream processing service that processes data in real-time and sends that data to your platform of choice. During the processing stage, the Splunk DSP allows you to perform complex transformations and troubleshooting on your data before that data is indexed. Use the Data Stream Processor to do the following tasks on data-in-motion.

  • Data aggregation: Aggregate data based on specific conditions.
  • Data formatting: Format or organize data using various functions based on specified conditions.
  • Data routing: Guarantee delivery of high-volume, high-velocity data to multiple destinations.
  • Filtering: Filter or route noisy data to specific destinations.

For basic instructions on how to get started on these tasks, see the Splunk DSP use cases chapter.

Get started

For installation information, see the Install and administer the Data Stream Processor manual. For release notes, see the Release notes manual. To get started with a tutorial, see the Tutorial manual.

The following diagram summarizes supported data sources and data destinations. This screen image shows supported data sources and destinations.

Last modified on 28 September, 2020
  NEXT
Data Stream Processor terminology

This documentation applies to the following versions of Splunk® Data Stream Processor: 1.1.0


Was this documentation topic helpful?


You must be logged into splunk.com in order to post comments. Log in now.

Please try to keep this discussion focused on the content covered in this documentation topic. If you have a more general question about Splunk functionality or are experiencing a difficulty with Splunk, consider posting a question to Splunkbase Answers.

0 out of 1000 Characters