TrustRadius

AWS CodePipeline vs. DataKitchen DataOps Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS CodePipeline
Score 6.6 out of 10
N/A
AWS CodePipeline is a fully managed continuous delivery service that helps users automate release pipelines. CodePipeline automates the build, test, and deploy phases of the release process every time there is a code change, based on the release model a user defines.
$1
per active pipeline/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
AWS CodePipelineDataKitchen DataOps Platform
Editions & Modules
AWS CodePipeline
$1
per active pipeline/per month
Free Tier
Free
No answers on this topic
Offerings
Pricing Offerings
AWS CodePipelineDataKitchen 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
AWS CodePipelineDataKitchen DataOps Platform
Considered Both Products
AWS CodePipeline
Verified User
Anonymous
Chose AWS CodePipeline
I haven't used any other similar products.
Verified User
Anonymous
Chose AWS CodePipeline
CodeCommit and CodeDeploy can be used with CodePipeline so it’s not really fair to stack them against each other as they can be quite the compliment. The same goes for Beanstalk, which is often used as a deployment target in relation to CodePipeline. CodePipeline fulfills the …
Ramindu Deshapriya | TrustRadius Reviewer
Ramindu Deshapriya
Lead Consultant - Technology
Chose AWS CodePipeline
We selected AWS CodePipeline mainly because we wanted to keep the application stack completely native to AWS, and CodePipeline provided the best integrations with AWS services that we were using, such as S3, Elastic Beanstalk, and Lamba. Furthermore, AWS CodePipeline provided …
Verified User
Anonymous
Chose AWS CodePipeline
AWS Codepipeline is proprietary to Amazon Web Services and works well when you're working with other AWS products. If you're using a different technology stack, then Codepipeline may not be the best tool and some open source/closed source tools available on the web may suffice.
Verified User
Anonymous
Chose AWS CodePipeline
We selected CodePipeline again, because it integrates well with our AWS Based infrastructure.
Richard Rout | TrustRadius Reviewer
Richard Rout
Software Developer
Chose AWS CodePipeline
They all pretty much have the same feature set. AWS CodePipeline has been improving in recent years, and it just makes sense to keep everything within Amazon's ecosystem.
Chose AWS CodePipeline
I felt that, out of the alternatives, AWS CodePipeline was the simplest to setup and most reliable. Since my client's infrastructure was already hosted in AWS, I felt it was a no-brainer. If a client needed a similar solution with on-prem or non-AWS infrastructure, I would …
DataKitchen DataOps Platform

No answer on this topic

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AWS CodePipelineDataKitchen DataOps Platform
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User Ratings
AWS CodePipelineDataKitchen DataOps Platform
Likelihood to Recommend
9.0
(0 ratings)
-
(0 ratings)
Usability
9.0
(0 ratings)
-
(0 ratings)
Performance
6.8
(0 ratings)
-
(0 ratings)
Support Rating
9.1
(0 ratings)
-
(0 ratings)
Ease of integration
7.4
(0 ratings)
-
(0 ratings)
User Testimonials
AWS CodePipelineDataKitchen DataOps Platform
Likelihood to Recommend
CodePipeline is well suited for an already existing AWS-native deployment. It is very easy to connect to existing repos like GitHub enterprise or cloud repos like CodeCommit. Being able to define the process by code (YAML) is a huge benefit for developers who favor that type of deployment setup. The UI is easy to use yet very powerful and customizable. Being able to leverage CloudTrail or Lambda is quite powerful, especially in larger more complex projects. It becomes less valuable with smaller projects or locally hosted deployments that don't get the benefits of a managed service in the AWS ecosystem. However, there are agents that can be run on private servers to allow integration. But naturally, smaller one-off projects benefit less from the automation value derived by CodePipeline.
Verified User
Anonymous
Read full review
No answers on this topic
Pros
  • It is reliable and works without errors
  • It integrates well with our repository and all other AWS functions as well as our end database
Verified User
Anonymous
Read full review
No answers on this topic
Cons
  • Ease of use - things like CircleCI or other tools are a bit easier to learn.
  • Ability to build from more sources.
Richard Rout | TrustRadius Reviewer
Richard Rout
Software Developer
Read full review
No answers on this topic
Usability
Overall, I give AWS Codepipeline a 9 because it gets the job done and I can't complain much about the web interface as much of the action is taking place behind the scenes on the terminal locally or via Amazon's infrastructure anyway. It would be nicer to have a better flowing and visualizable web interface, however.
Verified User
Anonymous
Read full review
No answers on this topic
Performance
Our pipeline takes about 30 minutes to run through. Although this time depends on the applications you are using on either end, I feel that it is a reasonable time to make upgrades and updates to our system as it is not an every day push.
Verified User
Anonymous
Read full review
No answers on this topic
Support Rating
We didn't need a lot of support with AWS CodePipeline as it was pretty straightforward to configure and use, but where we ran into problems, the AWS community was able to help. AWS support agents were also helpful in resolving some of the minor issues we encountered, which we could not find a solution elsewhere.
Ramindu Deshapriya | TrustRadius Reviewer
Ramindu Deshapriya
Lead Consultant - Technology
Read full review
No answers on this topic
Alternatives Considered
I felt that, out of the alternatives, AWS CodePipeline was the simplest to setup and most reliable. Since my client's infrastructure was already hosted in AWS, I felt it was a no-brainer. If a client needed a similar solution with on-prem or non-AWS infrastructure, I would probably evaluate a different solution. AWS CodePipeline is pretty tightly coupled with the rest of the AWS ecosystem.
Alec Dibble | TrustRadius Reviewer
Read full review
No answers on this topic
Return on Investment
  • AWS CodePipeline reduced CI/CD pipeline development time by 10% for AWS native application stacks.
  • AWS CodePipeline reduced response time to build failures by 3% through SNS integrations.
Ramindu Deshapriya | TrustRadius Reviewer
Ramindu Deshapriya
Lead Consultant - Technology
Read full review
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.