CircleCI vs. DataKitchen DataOps Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CircleCI
Score 10.0 out of 10
N/A
CircleCI is a software delivery engine from the company of the same name in San Francisco, that helps teams ship software faster, offering their platform for Continuous Integration and Continuous Delivery (CI/CD). Ultimately, the solution helps to map every source of change for software teams, so they can accelerate innovation and growth.
$0
for up to 6,000 build minutes and up to 5 active users per month
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
CircleCIDataKitchen DataOps Platform
Editions & Modules
Server
Contact Sales
Performance
starting at $15
per month
Scale
starting at $2000
per month
No answers on this topic
Offerings
Pricing Offerings
CircleCIDataKitchen DataOps Platform
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
CircleCIDataKitchen DataOps Platform
Best Alternatives
CircleCIDataKitchen DataOps Platform
Small Businesses
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Score 8.7 out of 10
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Medium-sized Companies
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Score 8.7 out of 10
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Enterprises
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Score 8.7 out of 10
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Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
CircleCIDataKitchen DataOps Platform
Likelihood to Recommend
8.0
(26 ratings)
-
(0 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Performance
7.8
(3 ratings)
-
(0 ratings)
Support Rating
6.9
(6 ratings)
-
(0 ratings)
User Testimonials
CircleCIDataKitchen DataOps Platform
Likelihood to Recommend
CircleCI
CircleCI is perfect for a CI/CD pipeline for an app using a standard build process. It'll take more work for a complex build process, but should still be up to the task unless you need a lot of integrations with other tools. If you have a big team and can spare someone to focus full time on just the CI/CD tools, maybe something like Jenkins is better, but if you're just looking to get your app built, tested, and delivered without a huge amount of effort, CircleCI is probably your preferred tool.
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DataKitchen
No answers on this topic
Pros
CircleCI
  • Multiple builds can be run at the same time in parallel.
  • The CircleCI web interface (UI/UX) is very easy to understand and use.
  • Easy Configuration to learn and use. Just a single configuration YAML file.
  • Many integrations. We use the GItHub, Slack, and DataDog integrations.
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DataKitchen
No answers on this topic
Cons
CircleCI
  • The "phases" their config file uses to separate out options seem very arbitrary and are not very helpful for organizing your config file
  • No way that I know of to configure which version of MongoDB you use. You have to write your own shell script to download and start MongoDB if you want a specific version.
  • Hard to access build artifacts in the UI
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DataKitchen
No answers on this topic
Usability
CircleCI
CircleCI interface is awesome in that it is relatively modern and makes it clear exactly which parts of the engineering lifecycle you are in
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DataKitchen
No answers on this topic
Performance
CircleCI
It's pretty snappy, even with using workflows with multiple steps and different docker images. I've seen builds take a long time if it's really involved, but from what I can tell, it's still at least on par if not faster than other build tools.
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DataKitchen
No answers on this topic
Support Rating
CircleCI
Unless you have a reasonably large account, you're going to be mainly stuck reading their documentation. Which has improved somewhat over the years but is still extremely limited compared to a platform like Digital Ocean who invested in the documentation and a community to ensure it's kept up to date. If you can't find your answer there, you can be stuck.
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DataKitchen
No answers on this topic
Alternatives Considered
CircleCI
Circle was the first CI with simple setup, great documentation, and tight integration with GitHub. Using Jenkins was too much maintenance and overhead, TeamCity was limited in how we could customize it and run concurrent builds, TravisCI was not available for private repos when we switched.
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DataKitchen
No answers on this topic
Return on Investment
CircleCI
  • It has eased the burden of standardizing our testing and deployment, making onboarding new developers much faster, and having to fix deployment mistakes much less often.
  • It allows us to focus our process around the GitHub workflow, ignoring the details of whatever environment the thing we're working on is actually hosted in. This saves us time.
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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.