Compare AWS CodeDeploy vs. CollabNet Continuum

AWS CodeDeploy is ranked 24th in Release Automation while CollabNet Continuum is ranked 30th in Release Automation. AWS CodeDeploy is rated 0, while CollabNet Continuum is rated 0. On the other hand, AWS CodeDeploy is most compared with AWS Amplify Console and Microsoft Azure DevOps, whereas CollabNet Continuum is most compared with .
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AWS CodeDeploy Logo
56 views|55 comparisons
CollabNet Continuum Logo
4 views|4 comparisons
Ranking
24th
out of 33 in Release Automation
Views
56
Comparisons
55
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
30th
out of 33 in Release Automation
Views
4
Comparisons
4
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Red Hat, Microsoft, Chef and others in Release Automation. Updated: May 2020.
419,794 professionals have used our research since 2012.
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Overview

AWS CodeDeploy is a service that automates code deployments to any instance, including Amazon EC2 instances and instances running on-premises. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications. You can use AWS CodeDeploy to automate deployments, eliminating the need for error-prone manual operations, and the service scales with your infrastructure so you can easily deploy to one instance or thousands.

PERFORMANCE MANAGEMENT
Measure and improve end-to-end continuous delivery

VALUE STREAM ORCHESTRATION
Orchestrate delivery pipelines and value streams across any environment

RELEASE AUTOMATION
Standardize and automate deployments and DevOps tasks

COMPLIANCE & AUDIT
Ensure traceability and compliance across workflows, applications, and environments

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Learn more about CollabNet Continuum
Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks BrothersAflac, Allegis Group, BNSF Railway, Boeing, Fanatics
Find out what your peers are saying about Red Hat, Microsoft, Chef and others in Release Automation. Updated: May 2020.
419,794 professionals have used our research since 2012.
We monitor all Release Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.