Splunk can integrate with Hadoop, a framework for distributed storage and processing of large datasets. This integration allows Splunk to work with data stored in Hadoop, enabling users to perform complex searches, analyses, and visualizations on data from Hadoop Distributed File System (HDFS) and other Hadoop-related technologies.
Integration between Splunk and Hadoop can be accomplished through various methods, such as:
Splunk Connect for Hadoop: A plugin that allows Splunk to read from and write to HDFS.
Hadoop-based Data Storage: Splunk's archived data can be stored in Hadoop for long-term storage and retrieval.
Splunk's Hadoop Data Roll: This enables Splunk to move data from hot/warm storage to Hadoop for cold storage.
These integrations facilitate the use of Splunk's analytics and visualization capabilities on large-scale data managed by Hadoop, providing users with a flexible and scalable approach to data analysis.