CircleCI vs. DataKitchen DataOps Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CircleCI
Score 9.5 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.
$15
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
NoNo
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
GitLab
GitLab
Score 8.7 out of 10
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Score 8.7 out of 10
Medium-sized Companies
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Score 8.7 out of 10
GitLab
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Score 8.7 out of 10
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
(0 ratings)
-
(0 ratings)
Usability
10.0
(0 ratings)
-
(0 ratings)
Performance
7.8
(0 ratings)
-
(0 ratings)
Support Rating
6.9
(0 ratings)
-
(0 ratings)
User Testimonials
CircleCIDataKitchen DataOps Platform
Likelihood to Recommend
CircleCI is well suited if you, your developer, or team of developers have already worked with it in the past. They don't need to go through the learning curve of yet another Continuous Integration tool. Circle handles Continuous Integration workflows very well, including pretty complex workflows. With that said, Circle can get expensive if you need to run multiple containers in parallel and might not be as easy to setup as some alternatives, such as Jenkins.
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Pros
  • Full customization and scripting abilities. Using tools like bash scripts, SSH, and Node, running almost anything upon committing some code to GitHub becomes possible.
  • Integration with all of our favorite services. GitHub and Slack in particular are crucial to our business and CircleCI's integration is seamless and full-featured.
  • Great config file syntax. Many CI services require you to perform advanced configuration in a UI. This is fine at first (and CircleCI offers this for many options available), but when you start needing to manage a large number of projects, committing configuration changes to a Git repository is more consistent and maintainable than making the change many different times manually in a UI.
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Cons
  • CircleCI mostly getting built into both upstream platforms (Github/Gitlab) and downstream platforms (AWS, Azure, GCP), in which cases it's often a better fit or can be used as a part of existing tooling
  • UX can be confusing to navigate and see what's happening.
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Usability
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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Performance
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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Support Rating
I haven't personally used their support service, but I have heard from others that they are responsive. I've also seen only one or two downtimes in over a year of use and both were no more than an hour or two.
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Alternatives Considered
Jenkins and Teamcity both have additional features that maybe you require, but they are also a lot more work to get set up and working. There's a much longer learning curve to getting these configured for a simple build. They're not hosted, so you have to maintain the infrastructure and scale yourself. They're both good products if you require more than CircleCI, but if not, skip the extra headache and go with something simple like CircleCI.
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Return on Investment
  • Saves us a lot of time and reduces potential mistakes by making our deployment and QA process completely automated
  • Builds docker images for us so we don't have to build them locally on our machines
  • Runs tests automatically on every commit, so we catch mistakes early
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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.