Tool profile
Apache DevLake: cost, fit and limits
Apache DevLake is an open-source data platform, an incubating project of the Apache Software Foundation, that consolidates data from separate DevOps tools into one software delivery view with prebuilt dashboards, plugins for common trackers and CI systems, and custom metrics written in SQL.
What to know first
Apache DevLake is open source and the pages read publish no plans, prices, hosted service or support tier. The homepage describes data consolidation, prebuilt dashboards for common frameworks and goals, extensibility for new data sources, and plugins for Jira, TAPD, GitHub, GitLab, Bitbucket, Gitee, Jenkins, GitHub Actions, GitLab CI and Feishu. No AI feature is named. Data location depends on where a team installs it.
Apache DevLake at a glance
| Maker | Apache Software Foundation (incubating project), Not stated on the vendor pages |
|---|---|
| Free plan | Yes |
| Entry price | Quote only |
| API access | No |
| Category | Best AI Engineering Analytics Software in 2026, rank 13 of 13 |
| Website | devlake.apache.org |
Who Apache DevLake is best for
Teams with data engineers
Custom metrics and dashboards are written in SQL, which suits organizations that already run a database and want to own the definitions of every metric.
Companies avoiding license fees
The project is open source and the pages read list no price, so cost is the hardware, hosting and engineer time needed to run it.
Teams on Jira and GitHub or GitLab
Plugins cover Jira, GitHub, GitLab, Bitbucket, Jenkins, GitHub Actions and GitLab CI, which matches a common stack without a paid connector.
Apache DevLake plans and pricing
| Plan | Price | What it includes |
|---|---|---|
| Open-source release | Free (open source) | The project software itself, with data consolidation, prebuilt dashboards, plugins and SQL-based custom metrics, run on infrastructure you provide. |
| Hosted service | Not published | The homepage lists no hosted offering, so a team must run and update DevLake on its own servers. |
| Paid support | Not published | The pages read describe no commercial support plan or price, only the Apache project and its documentation. |
Checked November 2026.
What Apache DevLake does
- Data consolidation
- Data from separate DevOps tools is brought into one view of the software development life cycle, so tickets, commits and builds can be queried together.
- Prebuilt dashboards
- Dashboards are included for common frameworks and goals, which gives a team a starting point before it writes any SQL of its own, so a team sees results before it writes any SQL itself.
- Extensibility
- New data sources, metrics and dashboards can be added, which suits teams with an internal tool that no vendor plugin covers, which suits teams with an internal tool that no vendor plugin covers.
- Custom SQL metrics
- Metrics and dashboards can be defined in SQL, so an analyst can reproduce a definition used elsewhere in the company, which lets an analyst reproduce a metric definition used elsewhere in the company.
- Plugin catalog
- Plugins are listed for Jira, TAPD, GitHub, GitLab, Bitbucket, Gitee, Jenkins, GitHub Actions, GitLab CI and Feishu, covering common Western and Chinese tools, which covers common tools in several regions.
How Apache DevLake handles your data
The vendor's policy was not checked for data handling, retention or model training, and the homepage was the only page opened. DevLake is open-source software, so data location depends on where the team installs it, and no hosting region applies as stated. No certification is stated on the page read. A team running DevLake controls its own database, access rules and backups, which also makes those duties its own. The footer links to the Apache license page, but the homepage does not name the license.
Where Apache DevLake falls short in practice
- Incubating status. DevLake is an incubating Apache project, not a top-level project. The homepage shows no release version or date, though the docs list v1.0 as stable.
- You run it yourself. No hosted plan, price or support tier is published on the pages read. Installation, upgrades, backups and dashboard maintenance fall to your engineers, so upgrades, backups and dashboard care fall to the engineers who deploy it.
- No AI features named. The pages read name no AI adoption tracking, assistant or MCP connector. Teams that need AI measurement must build it in SQL or choose a commercial tool.
Works with
Alternatives to Apache DevLake
Apache DevLake: common questions
Is Apache DevLake free?
The project is open source and the pages read list no prices, plans or hosted service. The cost is infrastructure and engineer time to install, update and maintain it. The homepage footer links to the Apache license page, but the homepage itself does not name the license.
Which tools does Apache DevLake connect to?
The homepage lists plugins for Jira, TAPD, GitHub, GitLab, Bitbucket, Gitee, Jenkins, GitHub Actions, GitLab CI and Feishu. It also says new data sources, metrics and dashboards can be added. Check the documentation for your exact versions, such as self-hosted GitLab.
Does Apache DevLake have AI features?
No AI feature is named on the pages read. It does not list AI adoption tracking, an assistant or an MCP connector. Teams who want to measure coding assistant usage would need to model that in SQL or choose a commercial platform such as Swarmia, Axify or GitClear.
Is Apache DevLake a top-level Apache project?
No. The site describes DevLake as an incubating project of the Apache Software Foundation. The homepage does not show a release version or date, although the documentation lists v1.0 as stable. Review the project's release activity before betting a reporting process on it.
Who should choose DevLake over a paid tool?
Teams with data engineers, a database to host it on and a desire to define metrics in SQL. DevLake gives dashboards and plugins without a license fee but offers no published hosted plan, support tier or AI feature, so a team without those skills will find a paid tool quicker.