Skip to content

CDviz vs LinearB ​

Evaluating LinearB alternatives for engineering metrics? This page compares CDviz and LinearB for teams who want self-hosted, open-source, or vendor-neutral options.

Both platforms surface engineering metrics for software delivery teams. They solve different problems with fundamentally different approaches.

Last updated March 2026. Corrections welcome.

At a glance ​

CDvizLinearB
LicenseApache 2.0Proprietary
Self-hostedβœ…βŒ
SaaS option⏳ waitlistβœ…
Free tierβœ… self-hostβœ… (up to 8 contributors)
Commercial supportβœ…βœ… (included)
Data ownershipβœ… full❌ vendor-hosted
CDEvents standardβœ… native❌
Data modelEvent-driven (push)Pull-based (polling)
DORA metricsβœ…βœ…
PR / cycle time analytics⏳ plannedβœ… (core strength)
Beyond monitoring: trigger workflowsβœ…βœ… (PR automations / AI actions)
Built-in integrationsGitHub, GitLab, ArgoCD, Kubernetes…GitHub, GitLab, Jira, Linear…
Customizable storage backendsβœ… (PostgreSQL, ClickHouse…)❌
VisualizationGrafana, BI, AI agents, MCP, IDP toolsbuilt-in dashboards
Pricing modelInfra + optional support~$420–$549 per contributor/year

Key differences ​

  • Event-driven vs poll-based: CDviz receives events in real-time as they happen (push model). LinearB periodically polls your git provider and issue tracker APIs β€” simpler to onboard but introduces latency and heavier API load.
  • Scope of observability: LinearB excels at git and PR-centric metrics β€” cycle time, PR review depth, merge frequency. CDviz covers the full delivery pipeline including deployments, incidents, artifact promotion, and Kubernetes events via CDEvents.
  • Open standard vs proprietary model: CDviz stores events using the open CDEvents specification, keeping your data vendor-neutral and portable. LinearB's data model is proprietary and tied to its platform.
  • Data ownership: With CDviz, your SDLC data stays in your infrastructure (or with CDviz via the SaaS waitlist). LinearB stores all data on its own servers.
  • Automation scope: LinearB's workflow automation is focused on PR lifecycle β€” routing reviews, auto-merging low-risk changes, AI code context. CDviz's event-driven approach lets you trigger any downstream system (Slack, incident tools, deployment pipelines, etc.) based on any SDLC event.
  • Visualization flexibility: LinearB provides opinionated built-in dashboards aimed at engineering managers. CDviz connects to any visualization layer β€” Grafana, BI platforms, AI agents, MCP-connected tools, Internal Developer Platforms.
  • Cost at scale: LinearB pricing grows linearly with contributor count ($420–$549/contributor/year). CDviz self-hosted costs scale with infrastructure, not headcount.

When to choose CDviz ​

  • You want full ownership of your SDLC data with no vendor lock-in.
  • You are adopting or building on the CDEvents open standard.
  • You need visibility beyond git/PRs β€” deployments, incidents, Kubernetes, artifact timelines.
  • You need real-time events rather than periodic snapshots.
  • You want events to trigger downstream workflows across your toolchain.
  • Your team already runs Grafana and wants SDLC visibility alongside infra/app dashboards.
  • You need flexible storage (PostgreSQL, ClickHouse) or reporting (BI, AI, MCP, IDP).
  • Cost at scale is a concern β€” CDviz does not charge per contributor.

When to choose LinearB ​

  • Your primary need is git and PR-centric metrics (cycle time, PR size, review depth, merge frequency) with minimal configuration.
  • Engineering managers want pre-built dashboards and benchmarks (LinearB publishes industry benchmarks from 4,800+ organizations).
  • You need AI-powered PR review routing and merge automation out of the box.
  • Your team uses Jira or Linear for project tracking and wants tight integration.
  • A managed SaaS with near-zero operational overhead is a priority.

Summary ​

LinearB is the fastest path to PR-centric engineering metrics and AI-powered code review workflows for teams already using GitHub/GitLab and Jira. CDviz is the right choice when you need full-pipeline observability beyond git, data ownership, an open event standard, real-time event streaming, or cost efficiency at scale β€” with commercial support available to reduce operational risk.

Get started with CDviz

Self-host CDviz β€” free, Apache 2.0. Or join the SaaS waitlist.

FAQ ​

Does LinearB have a free tier? Yes β€” up to 8 contributors. Paid plans start around $420–$549 per contributor/year.

Does LinearB support CDEvents? No. LinearB uses a proprietary polling-based data model tied to its own platform.

Is CDviz free? Yes β€” Apache 2.0. No per-contributor pricing; infrastructure costs only when self-hosted. Optional commercial support.