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CompareUpdated 2026-09-22

Telemetry pipelines: Cribl Stream vs vendor-native routing vs raw OTel pipelines

A dedicated pipeline such as Cribl Stream routes any source to many destinations from one control point, vendor-native processing such as Splunk Edge Processor is built around that vendor's platform and the destinations it chooses, and raw OpenTelemetry pipelines shape data at each collector with any central point left for you to build.

18cells, every one sourced and dated

Side by side

Cribl Stream, Vendor-native (Splunk Edge Processor), Raw OTel pipelines

From the vendors' own pages

  • Cribl Stream pricing
  • Splunk Lantern, Getting started with Data Management pipeline builders
  • OpenTelemetry, What is OpenTelemetry
  • Cribl docs, Destinations
  • OpenTelemetry docs, Collector
  • Cribl docs, OpenTelemetry Source
  • Splunk docs, About the Edge Processor solution
  • OpenTelemetry Collector contrib, transformprocessor
  • Cribl docs, Stream
  • Cribl docs, Functions
  • OpenTelemetry docs, Gateway deployment pattern

A cell without a source does not ship.

01The mechanics

What actually differs

The unit each option charges on, and who owns what afterwards, matter more than any single quoted figure.

Where the routing decision livesCribl Stream is a dedicated control layer between every source and every destination, governed in one place you own. Vendor-native routing is built around one vendor and sends to the destinations that vendor chooses. Raw OpenTelemetry pipelines shape and filter at the edge on each host, with no central control point unless you add a gateway tier.CRIBL STREAMCONTROLLAYERANY TO ANYOne governed control pointbetween every source andevery destination, yours.VENDOR-NATIVE ROUTINGTHEIR ROUTINGTHEIR PRODUCTSBuilt around one vendor, onits terms, to the placesthat vendor chooses.RAW OTEL PIPELINESShaped on each hostCENTRAL POINT: YOURSShaping and filtering at theedge, close to the source,central control yours to add.
Three places to put the routing decision: a control layer you own between everything, routing built into one vendor’s platform, or shaping at the edge with any central point yours to build.

A telemetry pipeline is the software between the systems that produce logs, metrics and traces and the tools that store and analyse them. Once an estate decides that not everything deserves the price of the SIEM (security information and event management) or the APM (application performance monitoring) tool, something has to decide what goes where, and there are three places to put that decision.

A dedicated pipeline product sits between all sources and all destinations. Vendor-native processing, the pipeline your SIEM or APM vendor bundles, is managed from that vendor's console and optimizes what enters its platform, with a shorter list of places it will send the rest. Collector-level pipelines shape data on each host or in a gateway tier you run, using the OpenTelemetry Collector's own processors.

They are not interchangeable. Splunk Edge Processor is included with a Splunk subscription and handles log data only. OpenTelemetry pipelines carry no license fee but spread routing policy across every collector unless you add a central gateway or a fleet plane. The dedicated layer is a control point by design and is paid for per gigabyte, which is why the Blueprint recommends it for the highest-volume, most complex sources, and lets the collector carry the job where a client would rather not add it.

02The facts

Side by side, sourced

Every cell in this table carries the vendor's own page as its source and the date it was checked, and a cell without a source does not ship.

Telemetry pipelines: Cribl Stream vs vendor-native routing vs raw OTel pipelines, side by side, every cell with its source and the date it was checked
Cribl StreamVendor-native (Splunk Edge Processor)Raw OTel pipelines
How it is pricedCredits per GB received, at $1 a credit. Cribl lists 0.32 credits per GB on an Enterprise cloud worker and 0.26 on a hybrid worker, with no charge for sending to more destinations.Cribl's plan at no charge covers up to 1 TB a day.Cribl Stream pricing, checked 2026-09-22Included with a Splunk Cloud Platform or Splunk Enterprise subscription at no additional cost, per Splunk. You run the processors on your own machines.Splunk Lantern, Getting started with Data Management pipeline builders, checked 2026-09-22Open source, with no license fee. You run and pay for the collectors' compute.OpenTelemetry, What is OpenTelemetry, checked 2026-09-22
Where it can send dataA long list of destinations, among them Splunk, Microsoft Sentinel, Elastic, Datadog, CrowdStrike, Amazon S3, Amazon Security Lake, Snowflake, Kafka and OpenTelemetry.Cribl docs, Destinations, checked 2026-09-22Splunk Cloud Platform, Splunk Enterprise and Amazon S3.Splunk Lantern, Getting started with Data Management pipeline builders, checked 2026-09-22One or more open source or commercial backends, through the collector's exporters.OpenTelemetry docs, Collector, checked 2026-09-22
Signals it handlesLogs, metrics and traces. Its OpenTelemetry source accepts all three over OTLP (the OpenTelemetry wire protocol).Cribl docs, OpenTelemetry Source, checked 2026-09-22Log data only. Splunk states that metrics are not supported.Splunk docs, About the Edge Processor solution, checked 2026-09-22Traces, metrics and logs. The transform processor is rated beta for all three.OpenTelemetry Collector contrib, transformprocessor, checked 2026-09-22
What it takes inAny source, by Cribl's own description.Cribl docs, Stream, checked 2026-09-22Splunk forwarders, syslog devices and the HTTP Event Collector.Splunk docs, About the Edge Processor solution, checked 2026-09-22Whatever its receivers support, from OpenTelemetry SDKs to Prometheus, Jaeger and Fluent Bit formats.OpenTelemetry docs, Collector, checked 2026-09-22
Pipeline languageFunctions, small pieces of JavaScript that run on each event, configured in the UI.Cribl docs, Functions, checked 2026-09-22SPL2, version 2 of Splunk's Search Processing Language.Splunk docs, About the Edge Processor solution, checked 2026-09-22OTTL, the OpenTelemetry Transformation Language, written into each collector's configuration.OpenTelemetry Collector contrib, transformprocessor, checked 2026-09-22
Where control livesOne control point, run in Cribl.Cloud, on your own infrastructure, or as a hybrid of the two.Cribl docs, Stream, checked 2026-09-22For Splunk Cloud Platform, a Splunk cloud service is the console. The processors run on machines in your network.Splunk docs, About the Edge Processor solution, checked 2026-09-22In each collector. A central gateway tier is an option, and the project lists its cost as one more thing to maintain, added latency and higher resource use.OpenTelemetry docs, Gateway deployment pattern, checked 2026-09-22

03The honest row

When each is the right answer

Every option in this comparison is the right answer for somebody, and saying when is the part most comparisons leave out.

  • Cribl Stream

    The right answer when many sources feed many destinations and the estate needs one governed control point: reduction, enrichment, routing, and replay from stored data managed as one system, at enterprise scale. Priced per gigabyte received, so it earns its place on the highest-volume sources where it cuts what reaches the SIEM. It is the engine we reach for in exactly this seat.

  • Vendor-native routing

    The right answer when a single platform genuinely is the whole estate and its bundled processing covers the reduction needed. Splunk Edge Processor, for one, comes with the Splunk subscription and keeps the team in SPL2. Honest as far as it goes, and it goes as far as that vendor's destination list.

  • Raw OTel pipelines

    The right answer for shaping and filtering at the edge, close to the source, especially at Kubernetes scale, and for estates that would rather not add a pipeline product at all. With no license fee, the collector can carry parsing and fan-out on its own. Strongest in combination with a central layer or a fleet plane that keeps routing policy in one place.

04Questions

Asked about this comparison

Does OpenTelemetry make a pipeline product unnecessary?

Sometimes, and they solve different halves. Collector pipelines process per host, which scales well but spreads routing policy across a fleet unless you add a gateway tier or manage the configurations centrally. A central control layer holds the estate-wide decisions: what each destination receives, what lands in the lake, and what replays. The Blueprint uses both where volume justifies it, and the collector alone where it does not.

Why not just use our SIEM's ingest processing?

Because it is built around that SIEM. Splunk Edge Processor, for example, handles log data only and sends to Splunk and Amazon S3, managed from Splunk's console. That is convenient while Splunk stays, and it is the vendor's choice which destinations exist. A control layer you own outlives any destination and makes the next platform decision a routing change.

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