Cribl Stream vs Honeycomb

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.

Honeycomb is an observability platform for debugging systems, application code, and databases with structured telemetry. It supports distributed tracing, logs, metrics, and OpenTelemetry data sent over gRPC, HTTP/protobuf, or HTTP/JSON. Canvas combines AI-assisted investigations with natural-language queries, interactive exploration, and shared workspaces. Agent Timeline presents LLM calls, tool invocations, handoffs, and downstream system spans in event order. BubbleUp helps investigate outliers across traces, metrics, and logs. Listed integrations include AWS, OpenTelemetry, Slack, MySQL, Prometheus, ServiceNow, and GitHub Actions. The free plan allows up to 20M events and 100M metrics data points per month, with two triggers. Pro starts at $150/mo, with allowances of up to 750M events, 3.75B metrics data points, 100 triggers, and two SLOs. Enterprise has variable volumes and custom pricing. Honeycomb describes Free for individual projects, Pro for production teams, and Enterprise for multi-team or large-scale applications.