TrustRadius

DataKitchen DataOps Platform vs. Digital.ai TeamForge

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Digital.ai TeamForge
Score 7.0 out of 10
Enterprise companies (1,001+ employees)
Digital.ai (formerly CollabNet) aims to help enterprises and government organizations deliver high-quality software at speed with TeamForge, its application lifecycle management suite. According to the vendor, Digital.ai offers innovative solutions, provides consulting and Agile training services, supports more than 10,000 customers with 6 million users in 100 countries, and has been recognized for 13 consecutive years as SD Times 100 “Best in Show” winner in the…N/A
Pricing
DataKitchen DataOps PlatformDigital.ai TeamForge
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DataKitchen DataOps PlatformDigital.ai TeamForge
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
DataKitchen DataOps PlatformDigital.ai TeamForge
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User Ratings
DataKitchen DataOps PlatformDigital.ai TeamForge
Likelihood to Recommend
-
(0 ratings)
8.0
(2 ratings)
Support Rating
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
DataKitchen DataOps PlatformDigital.ai TeamForge
Likelihood to Recommend
DataKitchen
No answers on this topic
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
CollabNet TeamForge is more well-suited for technically knowledgeable users such as developers, systems analysts, QA but not for non-technical users due to the technical data used throughout the tool. CollabNet TeamForge is appropriate for most applications development. In any industry especially suited for high demand software delivery environments.
Verified User
Anonymous
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Pros
DataKitchen
No answers on this topic
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
  • Code security.
  • Code migration.
  • Agile tie-in.
James Milholen | TrustRadius Reviewer
James Milholen
Senior Continuous Integrations Specialist (DevOps)
Read full review
Cons
DataKitchen
No answers on this topic
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
  • I would like to see personalization for managing artifacts, that is, allowing the user to customize pages and save personalized settings and then save them as bookmarks.
  • I would like an improved subversion browser such as a graphical user interface rather than a basic file explorer.
  • I would like built in features for CollabNet TeamForge integrated with subversion so that i can associate my private code branches and code changes.
Verified User
Anonymous
Read full review
Support Rating
DataKitchen
No answers on this topic
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
They always answer the phone when we put a call in, any time. They have consistently sent out contractors when needed and were there every step of the way when we switched over from ClearCase to TeamForge years ago. The support is what you really pay for when you buy into TeamForge.
James Milholen | TrustRadius Reviewer
James Milholen
Senior Continuous Integrations Specialist (DevOps)
Read full review
Alternatives Considered
DataKitchen
No answers on this topic
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
CollabNet TeamForge is superior to Mercury mainly because it has a subversion change management tool integrated with the product. CollabNet TeamForge offers more complexity but with more flexibility for managing and tracking projects. I think
CollabNet TeamForge is more comprehensive than either Mercury and JIRA. They're all user friendly tools with short learning curves but CollabNet TeamForge is most efficient in my experience.
JIRA was recently adopted for particular applications and is currently being evaluated by various technology teams.
Verified User
Anonymous
Read full review
Return on Investment
DataKitchen
No answers on this topic
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
  • Unfortunately, I do not have access to ROI information.
James Milholen | TrustRadius Reviewer
James Milholen
Senior Continuous Integrations Specialist (DevOps)
Read full review
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.

Digital.ai TeamForge Screenshots

Screenshot of TeamForge OverviewScreenshot of TeamForge Reporting DashboardScreenshot of Chef Deployment TraceabilityScreenshot of Defects Trend Report