Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Pipelines
Score 8.5 out of 10
N/A
Users can automate builds and deployments with Azure Pipelines. Build, test, and deploy Node.js, Python, Java, PHP, Ruby, C/C++, .NET, Android, and iOS apps. Run in parallel on Linux, macOS, and Windows. Azure Pipelines can be purchased standalone, but it is also part of Azure DevOps Services agile development planning and CI/CD suite.N/A
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.
$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
Azure PipelinesCircleCIDataKitchen DataOps Platform
Editions & Modules
No answers on this topic
Server
Contact Sales
Performance
starting at $15
per month
Scale
starting at $2000
per month
No answers on this topic
Offerings
Pricing Offerings
Azure PipelinesCircleCIDataKitchen DataOps Platform
Free Trial
NoNoNo
Free/Freemium Version
NoYesNo
Premium Consulting/Integration Services
NoNoYes
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure PipelinesCircleCIDataKitchen DataOps Platform
Considered Multiple Products
Azure Pipelines

No answer on this topic

CircleCI
Chose CircleCI
CircleCI shines with its specialized infrastructure. Its dedicated macOS runners ensure blazing-fast iOS builds, while intelligent Docker layer caching significantly reduces backend build times and costs. The ability to SSH directly into failed builds dramatically accelerates …
DataKitchen DataOps Platform

No answer on this topic

Best Alternatives
Azure PipelinesCircleCIDataKitchen DataOps Platform
Small Businesses
GitLab
GitLab
Score 8.7 out of 10
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
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
GitLab
GitLab
Score 8.7 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
Azure PipelinesCircleCIDataKitchen DataOps Platform
Likelihood to Recommend
7.0
(3 ratings)
8.0
(26 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
10.0
(1 ratings)
-
(0 ratings)
Performance
-
(0 ratings)
7.8
(3 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
6.9
(6 ratings)
-
(0 ratings)
User Testimonials
Azure PipelinesCircleCIDataKitchen DataOps Platform
Likelihood to Recommend
Microsoft
It is good tool if you are doing continuous improvements in your code and you wish it goes live whenever you push code to GitHub. So integrating Azure Pipeline, it automatically does CI/CD in the background once you push code/merge code and it is live in few minutes. It also does some automated tests if you have wrote scripts
Read full review
CircleCI
Based on our experience, CircleCI is well-suited for automating mobile app release cycles. For example, to release an iOS app, you would need to build, sign, and upload it to TestFlight, which requires a dedicated Mac in the office. But with CircleCI, you can have macOS executors, so you don't have to manage a physical build machine. Another benefit is that CircleCI's certified AWS Orbs abstract away complex authentication and deployment logic, allowing us to build, push, and deploy Docker containers to Amazon ECS with minimal configuration and high reliability. CircleCI is less suited for smaller projects where the development and deployment are not that extensive, for example, a static site. Once you have built a static site, you probably won't make any further changes, so there's no point in paying for it.
Read full review
DataKitchen
No answers on this topic
Pros
Microsoft
  • Integration with SonarQube
  • Integration with Azure DevOps
  • Integration with GitHub
Read full review
CircleCI
  • Automated builds! This is really why you get CircleCI, to automate the build process. This makes building your application far more reliable and repeatable. It can also run tests and verify your application is working as expected.
  • Simple. Unlike Jenkins, Teamcity, or other platforms, CircleCI doesn't need a lot of setup. It's completely hosted, so there's no infrastructure to set up. The config file does take a bit to understand, but if you follow their example and start with something small and add to it, you can get it up and going quicker than it first looks.
  • Scales easily. Again, since it's all cloud-based, you don't have to manage or scale infrastructure. Simply subscribe to the number of containers you want, and scaling up just means buying more containers.
Read full review
DataKitchen
No answers on this topic
Cons
Microsoft
  • The errors which we got sometimes are not clearly enough.
  • There are some let's say hidden options, they could be more visible
  • When the process is running we have to remember about manually refreshing to see the current status because it doesn't work automatically
Read full review
CircleCI
  • While configuration is easy, the config files can get very very long.
  • Price compared to some alternatives that are cheaper / free. Especially so if you are running multiple containers in parallel.
  • Have experienced numerous outages (3-5) in the last few months where CircleCI has been down.
  • Web documentation and tutorials haven't been as good as some of the competitors.
Read full review
DataKitchen
No answers on this topic
Usability
Microsoft
No answers on this topic
CircleCI
The reliability & speed, it just works. The ability to spin up macOS runners and Docker containers on demand without managing hardware is a huge win. The Orbs system makes integrating with AWS and Slack incredibly easy, saving us weeks of custom scripting and providing real-time updates in our Slack channel. This makes it easy for us to track and ensures that everyone involved knows the status. Of course, it has drawbacks related to configuration complexity and, in some cases, cost transparency, but overall, it is an industry-standard, robust tool that solves our core infrastructure problems well.
Read full review
DataKitchen
No answers on this topic
Performance
Microsoft
No answers on this topic
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.
Read full review
DataKitchen
No answers on this topic
Support Rating
Microsoft
No answers on this topic
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.
Read full review
DataKitchen
No answers on this topic
Alternatives Considered
Microsoft
We have used the GitHub CI/CD. Earlier we were using the Azure Pipelines but after GitHub had their actions, we integrated that for CI/CD. It runs the tests and makes a production build which can be live. GitHub CI/CD is more useful because we have to make script only once then just by few changes we can deploy it onto Azure, AWS, Google anywhere so we found it more convenient
Read full review
CircleCI
Jenkins is usually self-hosted, Travis CI's infrastructure is largely unreliable (lots of tests time out for no discernable reason), and Semaphore encourages you to configure your CI/CD from a web UI. We like CircleCI because its hosted, our tests run largely as expected on their infrastructure, and we can configure it from a config file that we track in GitHub.
Read full review
DataKitchen
No answers on this topic
Return on Investment
Microsoft
  • we have had outages from Azure in the past
Read full review
CircleCI
  • We pay over $5K/ month and we have high expectations for service. Sometimes I feel that we don't get the value, but only sometimes.
  • We have had to build our own application to keep state and broker releases and deployments. We call our app deployer. I feel that CircleCI could do more to understand our needs and possibly build additional features that would enable us to invest less in build and deployment infrastructure and justify paying more for Circle.
Read full review
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.