Knapsack Pro
Knapsack Pro
Gitlab CIhttps://about.gitlab.com/product/continuous-integration/ |
Bitbucket Pipelineshttps://bitbucket.org/product/features/pipelines |
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|---|---|---|
| Unique feature |
AutoDev Ops / Allows keeping code management and CI in the same place
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Best Jira integration possible
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| Type of product |
SaaS / On Premise
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SaaS / On Premise
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| Offers a free plan |
Yes Very generous free plans for both the SaaS version as well as the on premise version. |
Yes Offers a very modest free cloud plan, limited to 5 users, 50 minutes of build time per month and 1GB storage. There's no free self-hosted version, but they do offer a $10 one-time payment plan for 10 users (build time and storage is only limited by your infrastructure) |
| Predictable pricing |
Yes Clear and affordable pricing for both SaaS and self-hosted versions. |
Yes Pricing is based on amount of users for both the cloud and on premise versions. The cloud offering has different tiers depending on build times and storage. |
| Support / SLA |
Yes All paid plans include next business day support. |
Yes Dedicated tehnical support. |
|
Paralellism
Every CI servers tends to address this differently (parallel, distributed, build matrix). Some of it is just marketing, and some is just nuance. For this table, parallel means that tasks can be run concurrently on the same machine, distributed means that tasks can be scaled horizontally, on multiple machines How to split tests in parallel in the optimal way with Knapsack Pro |
Yes Easily configure jobs you want to be run in parallel via the YML config file (gitlab-ci.yml) |
Yes
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Distributed builds
distributed means that tasks can be scaled horizontally, on multiple machines How to split tests in parallel in the optimal way with Knapsack Pro |
Yes
|
N/A Documentation is unclear, but it's reasonable to assume that distributed builds for the on premise version are not an issue. |
| Containers support / Build environment |
Yes The Docker Container Registry is integrated into GitLab by default |
Yes
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Analytics / Status overview
Analytics and overview referrs to the ability to, at a glance, see what's breaking (be it a certain task, or the build for a specific project) |
Yes
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Yes Excellent overview and contextual feedback. |
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Management support
How easy is it to manage users / projects / assign roles and permissions and so on |
Yes
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Yes
|
| Self-hosted option |
Yes
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Yes
|
| Hosted plans / SaaS |
Yes
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Yes
|
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Build pipelines
A continuous delivery pipeline is a description of the process that the software goes through from a new code commit, through testing and other statical analysis steps all the way to the end-users of the product. |
Yes Defined via YML config files |
Yes
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Reports
Reports are about the abilty to see specific reports (like code coverage or custom ones), but not necesarily tied in into a larger dashboard. |
Yes
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Yes
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Ecosystem
Besides the official documentation and software, is there a large community using this product? Are there any community-driven tools / plugins that you can use? |
Yes
|
Yes Large collection of available apps: https://confluence.atlassian.com/bitbucket/apps-and-integrations-675189068.html |
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Specific language support: Ruby
Some CI servers have built-in support for parsing RSpec or Istanbul output for example and we mention those. Some others make it even easier by detecting Gemfiles or package.json and automate parts of the process for the developer. |
Yes Although not built into GitLab CI by default, the Docker support allows solving any Ruby specific need that may arise. |
Yes Clear, concise documentation on setting up a Ruby project with Bitbucket pipelines: https://confluence.atlassian.com/bitbucket/ruby-with-bitbucket-pipelines-872005618.html |
| Specific language support: JavaScript |
Yes Although not built into GitLab CI by default, the Docker support allows solving any Javascript specific need that may arise. |
Yes Clear, concise documentation on setting up a Javascript project with Bitbucket pipelines: https://confluence.atlassian.com/bitbucket/javascript-node-js-with-bitbucket-pipelines-873891287.html |
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Integrations
1st party support for common tools (like Slack notifications, various VCS platforms, etc) |
Yes Plenty of third party integrations available throughout GitLab, most notably Kubernetes and GitHub, but also plenty of others: https://docs.gitlab.com/ee/integration/README.html |
Yes Large collection of available integrations: https://confluence.atlassian.com/bitbucket/apps-and-integrations-675189068.html |
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API
Custom integreation is available, via an API or otherwise, it's mentioned separately as it allows further customization than any of the Ecosystem/Integration options |
Yes Provides a REST API and a (new) GraphQL API, with plans to maintain the GraphQL API only going forward. Allows doing almost anything that can be done via the interface, at least in terms of CI needs. |
Yes
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| Auditing |
Yes
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Yes
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| Additional notes |
The Auto DevOps feature might be interesting to people looking for a very hands-off experience with getting a CI/CD process up and running https://docs.gitlab.com/ee/topics/autodevops/ |
There's some confusion regarding Bitbucket Pipelines and Bamboo, where they overlap and where not. Atlassian discontinued their Bamboo Cloud offering ~3 years ago, so at a high-level they are different products in that regard. What can be said about both is that they are top-tier tools for high-demand engineering teams, especially valuable as long as the other tools in the Atlassian suite are adopted (Bitbucket is a must for Bitbucket pipelines, being just one if it's features, but other tools like Jira are not to be dismissed either). It does seem like Bitbucket Pipelines is the more mature product of the two though. |