DataKitchen DataOps Platform vs. Jenkins

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Jenkins
Score 8.4 out of 10
N/A
Jenkins is an open source automation server. Jenkins provides hundreds of plugins to support building, deploying and automating any project. As an extensible automation server, Jenkins can be used as a simple CI server or turned into a continuous delivery hub for any project.N/A
Pricing
DataKitchen DataOps PlatformJenkins
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DataKitchen DataOps PlatformJenkins
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataKitchen DataOps PlatformJenkins
Best Alternatives
DataKitchen DataOps PlatformJenkins
Small Businesses
GitLab
GitLab
Score 8.7 out of 10
GitLab
GitLab
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
GitLab
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataKitchen DataOps PlatformJenkins
Likelihood to Recommend
-
(0 ratings)
7.1
(74 ratings)
Usability
-
(0 ratings)
6.7
(8 ratings)
Performance
-
(0 ratings)
8.9
(6 ratings)
Support Rating
-
(0 ratings)
6.6
(6 ratings)
Implementation Rating
-
(0 ratings)
6.0
(1 ratings)
User Testimonials
DataKitchen DataOps PlatformJenkins
Likelihood to Recommend
DataKitchen
No answers on this topic
Open Source
Jenkins is a highly customizable CI/CD tool with excellent community support. One can use Jenkins to build and deploy monolith services to microservices with ease. It can handle multiple "builds" per agent simultaneously, but the process can be resource hungry, and you need some impressive specs server for that. With Jenkins, you can automate almost any task. Also, as it is an open source, we can save a load of money by not spending on enterprise CI/CD tools.
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Pros
DataKitchen
No answers on this topic
Open Source
  • Automated Builds: Jenkins is configured to monitor the version control system for new pull requests. Once a pull request is created, Jenkins automatically triggers a build process. It checks out the code, compiles it, and performs any necessary build steps specified in the configuration.
  • Unit Testing: Jenkins runs the suite of unit tests defined for the project. These tests verify the functionality of individual components and catch any regressions or errors. If any unit tests fail, Jenkins marks the build as unsuccessful, and the developer is notified to fix the issues.
  • Code Analysis: Jenkins integrates with code analysis tools like SonarQube or Checkstyle. It analyzes the code for quality, adherence to coding standards, and potential bugs or vulnerabilities. The results are reported back to the developer and the product review team for further inspection.
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Cons
DataKitchen
No answers on this topic
Open Source
  • The UI could be slightly better, it feels kind of like the 90s, but it works well.
  • An easier way to filter jobs other than views on the dashboard.
  • An easier way to read the console logs when tests do fail.
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Likelihood to Renew
DataKitchen
No answers on this topic
Open Source
We have a certain buy-in as we have made a lot of integrations and useful tools around jenkins, so it would cost us quite some time to change to another tool. Besides that, it is very versatile, and once you have things set up, it feels unnecessary to change tool. It is also a plus that it is open source.
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Usability
DataKitchen
No answers on this topic
Open Source
Jenkins streamlines development and provides end to end automated integration and deployment. It even supports Docker and Kubernetes using which container instances can be managed effectively. It is easy to add documentation and apply role based access to files and services using Jenkins giving full control to the users. Any deviation can be easily tracked using the audit logs.
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Performance
DataKitchen
No answers on this topic
Open Source
No, when we integrated this with GitHub, it becomes more easy and smart to manage and control our workforce. Our distributed workforce is now streamlined to a single bucket. All of our codes and production outputs are now automatically synced with all the workers. There are many cases when our in-house team makes changes in the release, our remote workers make another release with other environment variables. So it is better to get all of the work in control.
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Support Rating
DataKitchen
No answers on this topic
Open Source
As with all open source solutions, the support can be minimal and the information that you can find online can at times be misleading. Support may be one of the only real downsides to the overall software package. The user community can be helpful and is needed as the product is not the most user-friendly thing we have used.
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Implementation Rating
DataKitchen
No answers on this topic
Open Source
It is worth well the time to setup Jenkins in a docker container. It is also well worth to take the time to move any "Jenkins configuration" into Jenkinsfiles and not take shortcuts.
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Alternatives Considered
DataKitchen
No answers on this topic
Open Source
Overall, Jenkins is the easiest platform for someone who has no experience to come in and use effectively. We can get a junior engineer into Jenkins, give them access, and point them in the right direction with minimal hand-holding. The competing products I have used (TravisCI/GitLab/Azure) provide other options but can obfuscate the process due to the lack of straightforward simplicity. In other areas (capability, power, customization), Jenkins keeps up with the competition and, in some areas, like customization, exceeds others.
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Return on Investment
DataKitchen
No answers on this topic
Open Source
  • Faster Time-to-Market: Jenkins automate the build, testing, and deployment process, enabling faster feedback and continuous improvement.
  • Improved Quality: Jenkins automatically run unit tests and integration tests, ensuring that code changes meet the necessary quality standards.
  • Cost Savings: Jenkins is an open-source tool that is free to use
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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.