Frequently Asked Questions

Question 1

Is OpenObserve a good Cribl alternative?

Accepted Answer

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.

Question 2

How does OpenObserve pricing compare to Cribl's?

Accepted Answer

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.

Question 3

Can OpenObserve replace Cribl's data reduction and routing?

Accepted Answer

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.

Question 4

How hard is it to migrate from Cribl to OpenObserve?

Accepted Answer

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.

Question 5

Can I keep Cribl and use OpenObserve as the backend?

Accepted Answer

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.

Question 6

Is OpenObserve open source and self-hostable?

Accepted Answer

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.

Question 7

Is OpenObserve enterprise-ready?

Accepted Answer

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.

Feature	Cribl	OpenObserve	Reference Links
Built-in telemetry pipelines: collect, transform, enrich, route	✓	✓	Pipelines Logs Metrics Traces Dashboards Alerts
Storage and analytics backend included	✗ Routes to external backends; Lake/Search sold separately	✓ Full backend on low-cost object storage	Learn more
Search, dashboards, and alerting	Depends on downstream tools (or separate Cribl products)	Built in: logs, metrics, traces, dashboards, alerts	Dashboards
Pricing model	Credit-based; roughly $0.26–$0.32/GB processed on Cribl Cloud	Simple ingest-based pricing; storage on your own bucket if self-hosted	Pricing
Backend/SIEM license still required	Yes: Splunk, Elastic, or SIEM costs on top	No: OpenObserve is the backend	-
Data reduction approach	Filter/sample/drop 30–50% of data to control backend costs	Optional reduction in pipelines; cheap enough to keep 100%	Pipelines
Transformation language	JavaScript expressions and built-in functions	VRL functions in pipelines	Learn more
Query language	Separate Cribl Search product (Kusto-style)	SQL + PromQL built in	Used universally with no learning curve
OpenTelemetry support	✓ OTel sources and destinations	✓ OTLP-native ingestion for logs, metrics, traces	OpenTelemetry
Open Source	✗ Proprietary (free tier with feature limits)	✓	-
Deployment and operations	Leader + worker groups to size, scale, and upgrade	Single binary or HA cluster via Helm; stateless architecture	Learn more
Long-term retention	Cribl Lake (consumes additional credits) or your backend's storage	Object storage (S3/GCS/Azure): long retention without budget blowouts	Learn more

OpenObserve vs Cribl

Why teams switch from Cribl

Pipeline + Backend in One

Stop Paying to Drop Data

No Credit Math

Truly Open Standards

Less to Operate

Enterprise Features Included

See how OpenObserve replaces your Cribl + backend stack

Feature comparison

Migrating from Cribl

Add OpenObserve as a Cribl destination

Move pipeline logic into OpenObserve

Point agents directly and retire the pipeline layer