May the Cribl force be with you
Use Cases and Deployment Scope
Pros
- data manipulation
- Data enrichment
- re-shape your data from any format to any
- onboard any data from anywhere
Cons
- Implementation of sigma use cases within data pipeline
- Machine learning features
- creating pipeline
Most Important Features
- data manipulation
- reshape
- enrichment
- multiple destinations feature
- pipelines and packs
Return on Investment
- with reshaping and manipulation our indexing rate decrease over %40
- Data onboarding SLAs is decrease almost over %50