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Data Management

Streamline data onboarding, transformation, and archiving with forwarders, processors, indexes, and dozens of data source integrations.

Get Data In

Get data into the Splunk platform with forwarders, Splunk-supported integrations, and developer add-ons to collect, enrich, and prepare your data for analysis.

Transform and Route Data

Filter, mask, and route your data with powerful edge processing, ingest-time processing, and forwarding capabilities with the Splunk platform.

Monitor and Troubleshoot

Monitor and troubleshoot your data in your Splunk platform deployments to maximize performance and optimize the data life cycle.

Data Sources

Integrate Data with Add-Ons

Send data to Splunk with supported technical add-ons. Integrate data from various sources seamlessly for enhanced visibility and actionable insights.

Forward Data

Get data into your Splunk platform deployment with forwarders, then process your data with ingest actions.

Ingest Data from Cloud Sources

Use Data Manager and HTTP Event Collector to streamline data ingestion in Splunk Cloud Platform from sources like AWS, Microsoft Azure, and Google Cloud Platform.

Collect HTTP Event Data

Collect and send data from client applications and logging agents over the HTTP and HTTPS protocols.

Connect Relational Databases

Integrate database information with Splunk searches and reports using Splunk DB Connect, a SQL database extension for the Splunk platform.

Collect Stream Data

Capture, filter, index, and analyze live network data with Splunk Stream to uncover insights into network trends, application performance, and security threats.

Data Transformation

Splunk OT Intelligence

Set up and administer your Splunk Edge Hub OS mobile app deployment with the Splunk OT Intelligence companion app for Splunk Web.

Process Data at the Edge

Use the Edge Processor solution to process your data with SPL2 at the edge of your network before you send it to external destinations.

Process Data at Ingest Time

Use Ingest Processor to process data with SPL2 at the time of data ingestion, manage configurations, and monitor data ingest traffic in Splunk Cloud Platform.

Perform Basic Data Processing

Perform basic processing on your data with ingest actions to modify, route, and filter incoming data prior to indexing.

Common Information Model

Extract value from and normalize data for maximum effiency using preconfigured data models from the Splunk Common Information Model (CIM).

Data Destinations

Related Resources

Splunk Validated Architectures

Implement trusted Splunk Validated Architectures (SVAs) for stable, efficient deployments built on reliable best practices.

Collect Stream Data

Capture, filter, index, and analyze live network data with Splunk Stream to uncover insights into network trends, application performance, and security threats.