Atlassian Bitbucket vs. DataKitchen DataOps Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Bitbucket
Score 8.6 out of 10
N/A
Bitbucket is a Git repository and code collaboration platform, featuring automated testing and code deployment. Bitbucket Cloud Premium provides AI-powered development, more granular access controls, and enforced code quality, and Bitbucket Data Center provides a self-hosted option.
$0
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 BitbucketDataKitchen DataOps Platform
Editions & Modules
Free
$0
for up to 5 users
Standard
$3.30
per month per user
Premium
$6.60
per month per user
Bitbucket Data Center
starting at $44,000
per year 1 - 500
No answers on this topic
Offerings
Pricing Offerings
BitbucketDataKitchen DataOps Platform
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Atlassian BitbucketDataKitchen DataOps Platform
Features
Atlassian BitbucketDataKitchen DataOps Platform
Version Control Software Features
Comparison of Version Control Software Features features of Product A and Product B
Atlassian Bitbucket
8.0
3 Ratings
8% below category average
DataKitchen DataOps Platform
-
Ratings
Branching and Merging8.93 Ratings00 Ratings
Version History9.63 Ratings00 Ratings
Version Control Collaboration Tools9.43 Ratings00 Ratings
Pull Requests9.83 Ratings00 Ratings
Code Review Tools4.32 Ratings00 Ratings
Project Access Control9.83 Ratings00 Ratings
Automated Testing Integration4.02 Ratings00 Ratings
Issue Tracking Integration8.33 Ratings00 Ratings
Branch Protection7.92 Ratings00 Ratings
Best Alternatives
Atlassian BitbucketDataKitchen DataOps Platform
Small Businesses
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Score 10.0 out of 10
GitLab
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Score 8.7 out of 10
Medium-sized Companies
Git
Git
Score 10.0 out of 10
GitLab
GitLab
Score 8.7 out of 10
Enterprises
Perforce P4
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GitLab
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Score 8.7 out of 10
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User Ratings
Atlassian BitbucketDataKitchen DataOps Platform
Likelihood to Recommend
8.8
(66 ratings)
-
(0 ratings)
Likelihood to Renew
10.0
(4 ratings)
-
(0 ratings)
Usability
9.5
(4 ratings)
-
(0 ratings)
Support Rating
8.3
(14 ratings)
-
(0 ratings)
User Testimonials
Atlassian BitbucketDataKitchen DataOps Platform
Likelihood to Recommend
Atlassian
As a team we need to push code into the repo on daily basis, Bitbucket has proven that is a reliable and secure server to save and get the code available in no time. The administration part is really easy and there's an extra tool for every developer profile either if you want to use the console or a GUI like Sourcetree.
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DataKitchen
No answers on this topic
Pros
Atlassian
  • Very easy to integrate with other DevOps tools like Jenkins and with project/workflow management tools like JIRA.
  • Very efficient in managing security and compliance standards for code, especially during pull requests, merge requests, branching, etc.
  • Very robust in performance, especially the cloud and datacenter versions hardly hit any performance issues and supports more than 2000+ developers in my company.
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DataKitchen
No answers on this topic
Cons
Atlassian
  • The code management UI is a bit rough around the edges and difficult to work with.
  • BitBucket does not have the same simplified PR management tools as other competitors.
  • It's not as easy to integrate 3rd party apps as other competitors.
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DataKitchen
No answers on this topic
Likelihood to Renew
Atlassian
All products have room for improvement. The system improves over time with better and better integrations and I look forward to even more features without paying extra! The system has increased transparency across my organization and with this transparency comes increased throughput on projects. I don't think I can go back to any other system and we are definitely married to this product.
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DataKitchen
No answers on this topic
Usability
Atlassian
The architecture of Bitbucket makes it more easily scalable than other source code management repositories. Also, administration and maintaining the instance is very easy. It integrates with JIRA and other CI/CD applications which makes it more useful to reduce the efforts. It supports multiple plugins and those bring a lot of extra functionality. It increases the overall efficiency and usefulness of Bitbucket.
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DataKitchen
No answers on this topic
Support Rating
Atlassian
The customer support provided by Atlassian (Bitbucket's parent company that also makes Jira, Confluence, etc.) is very helpful. They seem to be very concerned about any issues reported with their products and even just questions about functionality. They are constantly improving the products with new features in nearly every release. Plus they have a plethora of online documentation to reference.
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DataKitchen
No answers on this topic
Alternatives Considered
Atlassian
For the features we were looking at, Bitbucket, GitHub and GitLab were all at par and were in a similar price range. We found that GitHub was the most full featured should we need to scale very quickly. GitLab was at par with GitHub for our future needs, but GitHub was a more familiar tool compared to GitLab. Bitbucket won out because of its close integration with Jira and being in the Atlassian family. It was also cheaper than GitHub. As we started with Jira, Bitbucket addition became a natural next step for us. We really liked Bitbucket and stayed with it but we do know we have great options in the form of GitHub and GitLab should we need to scale fast.
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DataKitchen
No answers on this topic
Return on Investment
Atlassian
  • It's allowed for a lot of automation in terms of development workflows. It lets us pursue CI/CD approaches and get releases out faster
  • It has let us get our infrastructure configuration into VCS, which further improves our automation abilities.
  • It has aided in keeping track of changes, and allows us to keep workflows organized so we can track the status of development
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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.