Atlassian Bamboo vs. DataKitchen DataOps Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Atlassian Bamboo
Score 6.7 out of 10
N/A
Australian company Atlassian offers Bamboo, a continuous integration server.
$1,200
1 remote agent
DataKitchen DataOps Platform
Score 0.0 out of 10
N/A
The DataKitchen DataOps Platform aims to automate key functions of data development & production workflows so data teams can collaborate, quickly innovate & deliver error-free, on-demand insight. Tool-Agnostic DataOps Platform supports an array of native tooling integrations & flexible methods for integrating new tools as they come available. Meta-Orchestration Meta-orchestrates all the steps in production & development…N/A
Pricing
Atlassian BambooDataKitchen DataOps Platform
Editions & Modules
1 Remote Agent
$1200
5 Remote Agents
$3200
10 Remote Agents
$5840
25 Remote Agents
$11,600
100 Remote Agents
$23,280
250 Remote Agents
$58,160
500 Remote Agents
$87,280
1000 Remote Agents
$133,840
2000 Remote Agents
$187,380
No answers on this topic
Offerings
Pricing Offerings
Atlassian BambooDataKitchen DataOps Platform
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Atlassian BambooDataKitchen DataOps Platform
Best Alternatives
Atlassian BambooDataKitchen DataOps Platform
Small Businesses
GitLab
GitLab
Score 8.7 out of 10
GitLab
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Score 8.7 out of 10
Medium-sized Companies
GitLab
GitLab
Score 8.7 out of 10
GitLab
GitLab
Score 8.7 out of 10
Enterprises
GitLab
GitLab
Score 8.7 out of 10
GitLab
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Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Atlassian BambooDataKitchen DataOps Platform
Likelihood to Recommend
6.3
(24 ratings)
-
(0 ratings)
Usability
9.3
(5 ratings)
-
(0 ratings)
Support Rating
7.3
(6 ratings)
-
(0 ratings)
User Testimonials
Atlassian BambooDataKitchen DataOps Platform
Likelihood to Recommend
Atlassian
If you value integration over cost, Bamboo is clearly the way to go. It offers tight integration to the rest of the Atlassian suite, and when you need traceability from issue to build, Atlassian is the right way to go. However, if you find yourself needing to save on costs, you may consider taking an approach of rolling your own build system with open source alternatives, such as Jenkins, if you don't [mind] putting in a little extra elbow grease.
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DataKitchen
No answers on this topic
Pros
Atlassian
  • Levels of granularity. Organization has many projects that have many build plans that have many jobs that have many tasks, etc. And branch builds allow source control branches to be built separately.
  • Versatility. I can use bamboo to manage my Java, node, or .NET build plans. I can use it to spin up Windows or Linux build agents, or install it on a Mac to build there as well.
  • Bamboo integrates with other Atlassian products like Bitbucket, Stash, JIRA, etc. If a company commits to the entire Atlassian stack then work can be tracked through the whole development lifecycle which is really useful.
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DataKitchen
No answers on this topic
Cons
Atlassian
  • Extremely hard barrier to entry for non-backend developers
  • Blackbox makes it hard to customize functionality
  • The inability to add features without breaking core functionality
  • No cloud solution
  • Tasks cannot be put in if/else statements
  • No clear right way to form build plans
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DataKitchen
No answers on this topic
Usability
Atlassian
Bamboo offers solid usability for teams looking for an integrated, scalable CI/CD solution, especially those using Atlassian tools. Its interface is intuitive for existing Atlassian users, and its focus on deployment automation makes it a strong option for continuous delivery. However, its complexity and cost may pose challenges for small teams or those new to CI/CD. Overall, Bamboo’s usability shines in environments where ease of integration and streamlined workflows are prioritized. Still, it may require more effort for teams unfamiliar with its setup or without dedicated resources.
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DataKitchen
No answers on this topic
Support Rating
Atlassian
Bamboo is a fairly small product but having said that it was fairly easy to get assistance. Especially for the small to easy things. Anything large or fairly complex was an issue finding detailed answers for. This caused a lot of trial and error on our part to try to find a solution.
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DataKitchen
No answers on this topic
Alternatives Considered
Atlassian
We selected Bamboo because its capabilities to integrate with other Atlassian products specially Jira Software, Bitbucket and in some useful scenarios with Confluence. Also, we found these pros important for us: great user interface, easily agent deployment, Docker compability, simply to maintain / manage, and straightforwardly integration with different notification platforms
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DataKitchen
No answers on this topic
Return on Investment
Atlassian
  • It helped us achieve the Continuous Deployment and Continuous Integration goals for our applications, a huge milestone that saved a lot of time for developers in making the builds and deployments and saved time for QA in running the automated tests.
  • Helped with DevOps: we moved the formal approval from the email to the system and allowed the approver to actually push the button for the production deployments.
  • Biggest positive impact of using Bamboo is that it improved our response time to customers and increased the frequency of our deliveries to them.
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DataKitchen
No answers on this topic
ScreenShots

DataKitchen DataOps Platform Screenshots

Screenshot of Meta-Orchestration
Data organizations may be hierarchical and siloed, but analytics production cuts across teams, locations, and environments. The DataKitchen Platform meta-orchestrates all the steps in your production and development pipelines (and even pipelines of pipelines), providing a coherent framework for inter-team collaboration that transcends heterogeneous toolchains and distributed data centers.Screenshot of Environment Creation & Management
With the DataKitchen Platform, create Kitchen workspaces in minutes – not weeks or months – to provide developers with a controlled and secure space to work. Kitchens contain pre-configured tools, datasets, hardware, and tests – everything users need to create and innovate.  When new analytics are ready, Kitchens streamline an individual’s work into a team’s work and eventually into production by seamlessly merging to aligned environments.Screenshot of Continuous Deployment
Analytics can’t be agile with manual, error-prone, and time-consuming release processes. The DataKitchen Platform automates the end-to-end deployment process allowing analytics teams to test and release new analytics on-demand. Kitchens align and integrate toolchain environments so continuous deployment orchestrations can easily migrate analytics to production.Screenshot of Automated Testing & Monitoring
Automated testing and monitoring are foundational to DataOps. The Platform enables you to dramatically improve data quality by catching costly and embarrassing data errors early.  Embed automated tests at every step in your production and development pipelines. Use failures as an opportunity to add more tests and increase the reliability of your pipelines over time. Preset alerts to increase agility and reduce data downtime.Screenshot of Collaboration & Sharing
DataOps is a team effort, and the DataKitchen Platform fosters collaboration by providing a common place to work and a single view of the end-to-end analytic process.  Team members innovate and experiment in separate but aligned Kitchens, then integrate the collective work with confidence.  Teams can easily save and share commonly used parts of pipelines as Ingredients – a significant productivity multiplier.Screenshot of DataOps Process Analytics
You can’t improve what you don’t measure. The DataKitchen Platform provides unprecedented visibility into the state of your data operations.  Process metrics show how your teams are increasing collaboration, improving productivity, expanding test coverage, reducing errors, speeding deployment cycle times, and consistently meeting deadlines.