OpenObserve vs Cribl

It depends on why you bought Cribl. Cribl Stream is an excellent telemetry pipeline: it collects, reduces, and routes data to other tools, and it is very good at feeding many commercial backends at once. But it is not a storage or analysis backend — you still pay Splunk, Elastic, or a SIEM downstream. If your main goal was controlling backend costs, OpenObserve replaces both layers: built-in pipelines for transformation and routing, plus a backend with roughly 140x lower storage costs on object storage. If your goal is routing to a dozen third-party tools you intend to keep, Cribl remains a strong fit and can even coexist with OpenObserve.

Cribl uses a credit-based consumption model — on Cribl Cloud, processing runs roughly $0.26–$0.32 per GB depending on deployment type, and that is before you pay the analytics backend the data lands in. Unused credits beyond a rollover cap can be forfeited. OpenObserve uses simple ingest-based pricing that covers ingestion, storage, and querying in one bill; self-hosted deployments store data on your own S3/GCS/Azure bucket at object-storage prices.

For most use cases, yes. OpenObserve pipelines support filtering, transformation, enrichment, and routing using VRL functions, and the OpenTelemetry Collector covers advanced in-flight processing like tail sampling. The bigger shift is philosophical: because OpenObserve's backend is cheap, many teams stop aggressively dropping data at all — reduction becomes optional rather than the reason the stack exists. If you need Cribl's very broad catalog of destination integrations to third-party commercial tools, Cribl is still ahead there.

Usually easier than a backend migration, because agents rarely change. Start by adding OpenObserve as an OTLP/HTTP destination inside Cribl Stream and run both in parallel. Then port the routes and transforms you actually need into OpenObserve pipelines or OpenTelemetry Collector processors. Finally, point agents (OTel Collector, Fluent Bit, etc.) directly at OpenObserve and retire the worker groups. Simple setups take days to weeks; larger estates with many routes typically take one to three months of gradual cutover.

Yes. OpenObserve works as a Cribl Stream destination today, and some teams adopt it that way first — replacing an expensive SIEM or index-based backend while keeping Cribl for routing. Over time, many find OpenObserve's built-in pipelines cover their transformation needs and consolidate to one platform, but running them together is a fully supported starting point.

Yes. OpenObserve is open source and can be self-hosted as a single binary or as a highly available cluster via Helm on Kubernetes, storing data in your own object storage bucket. Cribl Stream is proprietary; its free tier has volume and feature limits (for example, RBAC and federated SSO are reserved for paid tiers). OpenObserve also offers a managed cloud if you prefer not to operate it yourself.

Yes. OpenObserve is SOC2 Type II certified and ISO 27001 compliant. We process over 2 PB of data daily across thousands of deployments, including Fortune 100 enterprises. Enterprise features include RBAC, SSO, sensitive data redaction, and dedicated support.