• You want to expand the data you analyze, but the scope is limited due to constraints on the analysis tool.
• There are many points to consider, such as designing according to requirements, and the lead time until data can be used is long
• There is a lag between data collection and analysis, making it difficult to move quickly to real-time analysis.

As the amount of data that companies need to manage is exploding, companies are also being asked to manage that data. However, there are issues such as the cost of data management, siloing caused by each department managing data separately, and the limited scope of data utilization due to restrictions on data and analysis tools.

Cribl approaches the above challenges with three approaches: "Further promoting data utilization within budgets," "Centralizing data pipeline management," and "Outputting a wide variety of data in the desired format," and supports the effective utilization of all data within a company.

[Point 1] Real-time data sharing

Cribl's streaming processing allows you to collect, process, and link data in real time.

QuickConnect

[Point 2] Reducing operational workload in data management

Collection, processing, and routing can be handled centrally through Cribl's excellent UI, accelerating implementation speed.

Pipeline Profiling

[Point 3] Expanding the scope of data utilization

Cribl's wide range of templates and flexible conversion functions allow you to make the most of your data

Flex Deploy

Packs