SonarQube vs DeepSource

Where DeepSource wins

A fix beats a finding

The reason a quality tool gets ignored is rarely that it was wrong; it is that acting on it costs more attention than the issue is worth. DeepSource closes that gap by proposing the edit: Autofix and code formatting are core features, and the Team plan includes a $100 per user per year credit for AI Review on top of unlimited pull-request reviews. SonarQube's equivalent, AI CodeFix, sits in the Enterprise tier, which for most teams means it is not part of the comparison at all.

Per-user billing with no code ceiling

DeepSource charges $24 per user per month billed annually. SonarQube meters lines of code on the largest branch, which is the part teams complain about because the number rises on its own as vendored, generated and monorepo code accumulates. If your repository is large relative to the number of people committing to it, the DeepSource meter is the friendlier one; if you have many developers and a small codebase, it is not.

Free tier that is usable for real projects

Open-source projects get 1,000 pull-request reviews and formatting runs a month at no cost, which is a genuine working allowance rather than a demo. Note the limit honestly: open-source vulnerability scanning is excluded from the free tier, and AI Review and Autofix on that plan are pay-as-you-go, so a busy public repository can still reach the ceiling.

Nothing stateful, and no monthly upgrade

SonarQube Community Build lost its Long-Term Active version at the end of 2024 and now ships monthly without backported fixes, so the free path involves upgrading a JVM app and its database on a monthly cadence. DeepSource is hosted, and if you eventually need it inside your own network, that is an Enterprise deployment rather than something you assemble yourself.

Where SonarQube still wins

The whole-codebase model is the thing DeepSource has not rebuilt. SonarQube gives you a single place where the state of every project is measured, compared over time and gated on, which is what you need when the question is "is this release allowed to ship" or "show me the quality trend for the last two years". A diff-first tool answers a different question well and that one poorly.

Language coverage is the other decisive point: 34 languages on Developer Edition and 40 or more on Enterprise, including the enterprise long tail, against DeepSource's narrower mainstream set. Then there is deployment. SonarQube Community Build is LGPL v3 and runs anywhere, including air-gapped, at no licence cost; DeepSource self-hosting requires an Enterprise contract. And the LOC meter genuinely wins for a large team on a modest codebase, where SonarQube Cloud from $34 a month undercuts twenty DeepSource seats several times over.

Migrating SonarQube to DeepSource

The path most teams take:

1. Inventory first. Check your languages against DeepSource's analyzer list, and separate the SonarQube rules that actually block a merge from the ones that only decorate the dashboard. Only the first group has to be reproduced.
2. The swap. Add .deepsource.toml to the repository, enable the analyzers you need and connect the Git provider; DeepSource runs on the pull request, so the sonar-scanner step leaves your pipeline entirely. Turn Autofix on for formatting first, since that is where it produces the least contentious diffs.
3. Run both for one cycle. Two to four weeks in parallel on the same pull requests, comparing what each side raises. Budget for two bills during the overlap and judge on real diffs, not on a full-repository sweep, which will always favour the tool designed to scan everything.
4. What does not move. The history and the technical-debt numbers. There is no importer for SonarQube issue decisions, measures or gate results, so take the new baseline deliberately and keep the old instance readable for as long as an auditor might ask about it.