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Cribl provides a vendor-agnostic observability pipeline that gives teams control over collection, reduction, enrichment, normalization, and routing of telemetry and security data. Public market participants related to this trend include Splunk Inc. (SPLK), Confluent, Inc. (CFLT). Positioned around the idea of “open observability,” Cribl aims to reduce data gravity—letting customers choose destinations, cut ingestion costs, improve downstream performance, and replay or migrate historical data as needed. In practice, Cribl Stream is used to trim extraneous fields, aggregate logs into metrics, enrich events, and route streams to SIEMs, analytics platforms, message buses, or cloud stores. The product is often deployed alongside established observability vendors to optimize existing deployments and lower operational billings; for example, Splunk customers can use it to reduce Splunk ingestion and migrate to cloud offerings more smoothly. Cribl also supports streaming targets such as Kafka and integrates with platforms in the Kafka ecosystem. The neutral, pipeline-focused approach appeals to organizations seeking flexibility across heterogeneous stacks and tighter cost and compliance control of telemetry flows.