The easiest and fastest way to turn machine data into answers
Metrics are numerical data points captured over time that can be compressed, stored, processed and retrieved more efficiently than logs. They are natively supported as first-class data that are suitable for scale and performance. Use of metric data boosts all around speed by at least 20X over previous releases (before version 7.0).
You can embed Splunk reports and data in any application or use our ODBC integrations to access Splunk data in applications such as Microsoft Excel or Tableau. And with Splunk alerts, you can automatically trigger actions in ticketing or other systems. Additionally, rich SDKs let your team integrate Splunk data and functionality in a custom fashion.
Splunk software supports SAML integration for single sign-on via most popular identity providers and comes pre-configured for a growing number of providers like Okta, PingFederate, Azure AD, CA SiteMinder, OneLogin and Optimal IdM. Splunk can also integrate with other authentication systems, including LDAP, Active Directory and e-Directory, and supports integration with Duo two-factor authentication.
Data retention costs are a significant part of your analytics budget, so Splunk Enterprise offers two options to help you reduce historical data storage costs by up to 80 percent while retaining Splunk search capabilities. You can keep historical data within Splunk and reduce the data footprint of seldom-analyzed, cold data. Or, you can roll your data to an existing Hadoop or Amazon Simple Storage Service (Amazon S3) data lake.