Trainyard vs BigPicture

BigPicture: jira plugin; priced by every jira user on the site. Trainyard: open source, self-hosted with no limits or hosted; priced per trainer or per train, with the people in the room free.

TrainyardBigPicture
HostingSelf-hosted, open source; hosted; Jira app and Azure DevOps extensionJira plugin
PI planningIntegrated: PI planning, team breakouts, PI objectives, confidence voteWithin Jira
ART and team boardsART and team boards, PI planning board with milestones and dependency strings, ROAM, WSJF, retrospectivesART board, ROAM, WSJF, team execution
Beyond planningPortfolio Kanban, roadmaps, SAFe canvases, value stream identification and mapping, AI portfolio, dashboardsProject planning and reporting, OKR and risk widgets
IntegrationJira and Azure DevOps, two ways; imports from iObeya, Miro, Mural, monday.comJira only
Priced byTrainer or train; people in the room are freeEvery Jira user on the site

When BigPicture is the better pick

BigPicture is the better pick when project portfolio reporting inside Jira (Gantt, resources) matters more than the planning room itself.

When Trainyard is

  • The room holds people who are not tracker users: business owners, customers, a class. Trainyard counts trainers or trains, so they cost nothing.
  • The plan must flow back to Jira or Azure DevOps and come from it: features, stories, risks and dependencies sync two ways through an inspectable queue.
  • You need more than the board: Portfolio Kanban, value stream identification and mapping, SAFe canvases, PI Outcome Planning, an AI-native portfolio, dashboards.
  • You host your own tools, or want to be able to: one Docker Compose, Apache-2.0, every feature.
  • You train: Leading SAFe, SPC, Advanced SPC, POPM and RTE class boards, and your own Miro class boards imported.

Moving boards over

Boards from iObeya, Miro, Mural, monday.com, Trello, CSV and JSON import as they are; Jira and Azure DevOps data syncs rather than imports.

Try Trainyard free →