Can I connect Jira to iDBQuery?

Yes. iDBQuery connects to Jira through its REST API connector, pulling issues, sprints, statuses, and worklogs into one live queryable model, so you can ask about cycle time, sprint throughput, or bug backlog in plain language and get a cited answer without writing JQL or building a dashboard.

iDBQuery connects to Jira with its REST API connector. You configure the Jira Cloud REST API with an API token, choose the projects and fields you want, and iDBQuery pulls issues, transitions, sprints, and worklogs into a live model. It is a general REST connector pointed at your Jira instance, not a purpose-built Jira app, which means it also handles custom fields and your own JQL-filtered views.

With Jira in the model you can ask, in plain English:

  • What is our average cycle time from In Progress to Done by team this quarter?
  • How many bugs did we open versus close each sprint, and is the backlog growing?
  • Which epics slipped their target date, and by how many days?

Every number is cited back to the specific issues, so an engineering manager can trust a throughput chart without re-deriving it. The real advantage is cross-source analysis: join Jira delivery data to support tickets, incidents, or revenue to connect engineering effort with business outcomes. Prefer not to hit the live API on every question? You can export Jira issues to CSV and ingest them on a schedule, or connect a warehouse where Jira data is already synced. iDBQuery keeps one model so the question stays the same however the data arrives.

Updated 2026-06-22