CDviz vs LinearB β
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 β
| CDviz | LinearB | |
|---|---|---|
| License | Apache 2.0 | Proprietary |
| Self-hosted | β | β |
| SaaS option | β³ waitlist | β |
| Free tier | β self-host | β (up to 8 contributors) |
| Commercial support | β | β (included) |
| Data ownership | β full | β vendor-hosted |
| CDEvents standard | β native | β |
| Data model | Event-driven (push) | Pull-based (polling) |
| DORA metrics | β | β |
| PR / cycle time analytics | β³ planned | β (core strength) |
| Beyond monitoring: trigger workflows | β | β (PR automations / AI actions) |
| Built-in integrations | GitHub, GitLab, ArgoCD, Kubernetes⦠| GitHub, GitLab, Jira, Linear⦠|
| Customizable storage backends | β (PostgreSQL, ClickHouseβ¦) | β |
| Visualization | Grafana, BI, AI agents, MCP, IDP tools | built-in dashboards |
| Pricing model | Infra + optional support | ~$420β$549 per contributor/year |
Key differences β
- 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 ($420β$549/contributor/year). CDviz self-hosted costs scale with infrastructure, not headcount.
When to choose CDviz β
- 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 β
- 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 β
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 β
Does LinearB have a free tier? Yes β up to 8 contributors. Paid plans start around $420β$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.
Related comparisons β
- CDviz vs DevStats β similar git-centric scope
- CDviz vs Sleuth β DORA-focused SaaS
- CDviz vs Swarmia β engineering effectiveness platform
- All alternatives