Digital.ai Release vs. JFrog Artifactory

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Digital.ai Release
Score 8.7 out of 10
N/A
Digital.ai Release, formerly XebiaLabs XL Release, is a release management tool designed for enterprises that enables users to control and track releases, standardize processes, and bake compliance and security into software release pipelines. As a release orchestration tool, Digital.ai Release works specifically for continuous delivery, and enables teams across an organization to model and monitor releases, automate tasks within IT infrastructure, in order to cut release times and improve…N/A
JFrog Artifactory
Score 8.3 out of 10
N/A
JFrog Artifactory is a software repository management solution for enterprises available on-premise or from the cloud, presented as a single solution for housing and managing all the artifacts, binaries, packages, files, containers, and components for use throughout the software supply chain. JFrog Artifactory serves as a central hub for DevOps, integrating with tools and processes to improve automation, increase integrity, and incorporate best practices along the way.
$150
per month unlimited users
Pricing
Digital.ai ReleaseJFrog Artifactory
Editions & Modules
No answers on this topic
Pro
$150
per month unlimited users
Enterprise X
$950
per month unlimited users
Pro X
$27,000
per year
Enterprise X
$48,000
per year
Enterprise +
Custom Pricing
Enterprise +
Contact Us
per year
Offerings
Pricing Offerings
Digital.ai ReleaseJFrog Artifactory
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Digital.ai ReleaseJFrog Artifactory
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User Ratings
Digital.ai ReleaseJFrog Artifactory
Likelihood to Recommend
9.0
(0 ratings)
8.2
(0 ratings)
Usability
9.0
(0 ratings)
7.3
(0 ratings)
Support Rating
4.0
(0 ratings)
8.9
(0 ratings)
User Testimonials
Digital.ai ReleaseJFrog Artifactory
Likelihood to Recommend
XL release fits very well when you need cross-team coordination in a release process where you want to coordinate an alpha or beta program with marketing as part of a major release process.
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It works at scale and a large number of accessible pipelines for searching, repository updates and indexing will become easier. JFrog provides end-to-end solutions for all DevOps needs. With this, Jfrog Artifactory specifically implements the management of highly available repositories, with a smooth interface and integration with all the main CI tools on the market.
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Pros
  • Cross-team release workflow control using email, texts, scripts allow our release management to be truly a 360 process.
  • XL Release allowing our Jenkins toolchain to control the beginning of release trains which is very powerful.
  • XL release allows us to expose the business process flow for anyone to read direct at the source which runs the process instead of a separate vision.
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  • Stores and Manages build artifacts and packages.
  • Works as container registry as well.
  • Easily manages local and remote repositories along with live replication.
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Cons
  • Pagination of data - across tool.
  • User Roles Management API can be improved.
  • Case insensitive ID's are treated differently making user face login and access issues.
  • Dependency on Universal template/custom plugins creation should be reduced.
  • Code versioning of templates is very difficult.
  • Better error handling.
  • Futures Timeout Issues.
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  • CI/CD integration. We understood they do have a pipeline, so our organization already started with Jenkins, and my understanding is that not many orgs are using the JFrog pipeline.
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Usability
The tool is easy to use, easy to navigate and learn. Manages releases with proper approvals in a systematic manner. Though it needs minor improvements in terms of pagination (data loading), access management, but, overall the tool helps in increasing productivity and less time for production deployments.
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The main problem that seems intractable is getting the checksum of the artifact. Managing container artifacts is a game changer for us during project execution, as the container artifact type exposes all base image and Docker file steps. This makes debugging or analysis easier. Jfrog Artifactory provides promotion feature and can automated from one environment repo to another environment repo before the deployment occurs.
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Support Rating
Support is not good at all. To this day, I have to mail my queries and their support site does not log in for me (me alone). But, upon contacting many times, no one helps with a proper response. Though good thing is, I get a proper response over mail too. But, being informative about the tool and not on the issues faced by users outside of the process to get support should also be addressed equally. Which is currently missing in support.
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Support tickets take days to respond. The most basic of questions that should be knocked out in a few hours don't get answers for days. Tickets are also closed without resolution.
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Alternatives Considered
Deployment and release management can be done in various ways. But, XL Release or Digita.ai, helps in simplifying the process with predefined plugins, pre-developed security features, etc that help manage and process deployment cycles quicker and in a processed way.
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JFrog pipelines are being used in the same ecosystem as an integrated environment, to support CI-CD devops journey. This eventually helps the existing team to use both the features of the same product in a seamless way.Similar Xray, can be used as a secure measure to protect your containers and can be used as a Static Code analysis tool which can also be integrated in a Devops CI pipeline as a Left shift security strategy.
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Return on Investment
  • Positive - Faster deployments.
  • Positive - Better tracking on progress of each release.
  • Negative - Data once goes beyond a limit, pagination and data load take a toll on users.
  • Positive - Dashboard can be customizable.
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  • We now have a solid, reliable binary repository that can survive a regional outage in AWS when deployed properly
  • It has allowed us to focus on building mature CICD pipelines without having to worry about an unreliable binary repository.
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ScreenShots