Cribl Stream vs Datadog Observability Pipelines

Cribl Stream processes machine data such as logs, instrumentation, application data and metrics in real time, then delivers it to an analysis platform. It can add external context, redact, obfuscate or encrypt sensitive fields, and optimize data for performance and cost requirements. Pipelines built from Functions transform incoming events, while Routes direct events to Pipelines and Destinations. Cribl says Stream connects to more than 80 data sources and destinations and supports Cribl Packs for integrations. The Copilot Editor accepts plain-language prompts to help build and refine pipelines, transform and enrich data, filter noise, and route telemetry. Stream can run on Cribl-managed cloud infrastructure or on customer infrastructure, Kubernetes Pods or containers. The Free plan costs nothing and supports up to 1TB per day, unlimited Pipelines and Routes, and Community Support; the on-prem Free license requires sending anonymized telemetry to Cribl. Standard and Enterprise are billed by credits used at ingest, with no prices listed. Cribl was founded in 2018.

Datadog Observability Pipelines has no write-up on Specifiction yet; its figures are above.