Good post from Splunk about the use cases where Hadoop and Splunk coexist and cooperate:
The Splunk and Hadoop communities can benefit from each other’s strengths.
Below are several examples of customers that use both environments.
- Splunk then Hadoop
- Splunk: collects, visualizes and analyzes the data
- Hadoop: ETL and other batch processing
- Hadoop then Splunk
- Hadoop: collects the data
- Splunk: visualization
- Bi-directional: Splunk and Hadoop collect different artifacts and share the data that Hadoop needs for ETL or batch analytics and Splunk needs for real-time analysis and visualization
- Splunk monitors Hadoop
Original title and link: Hadoop and Splunk Use Cases ( ©myNoSQL)