TrustRadius

DataKitchen DataOps Platform vs. TeamCity

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
TeamCity
Score 7.4 out of 10
N/A
TeamCity is a continuous integration server from Czeck company JetBrains.N/A
Pricing
DataKitchen DataOps PlatformTeamCity
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DataKitchen DataOps PlatformTeamCity
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
DataKitchen DataOps PlatformTeamCity
Best Alternatives
DataKitchen DataOps PlatformTeamCity
Small Businesses
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
Enterprises
GitLab
GitLab
Score 8.7 out of 10
GitLab
GitLab
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataKitchen DataOps PlatformTeamCity
Likelihood to Recommend
-
(0 ratings)
10.0
(18 ratings)
Performance
-
(0 ratings)
9.3
(2 ratings)
User Testimonials
DataKitchen DataOps PlatformTeamCity
Likelihood to Recommend
DataKitchen
No answers on this topic
JetBrains
TeamCity is very quick and straightforward to get up and running. A new server and a handful of agents could be brought online in easily under an hour. The professional tier is completely free, full-featured, and offers a huge amount of growth potential. TeamCity does exceptionally well in a small-scale business or enterprise setting.
Verified User
Anonymous
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Pros
DataKitchen
No answers on this topic
JetBrains
  • TeamCity provides a great integration with git, especially Bitbucket.
  • When a new code release (build) fails TeamCity has a great tool for investigation and troubleshooting.
  • TeamCity provides a user-friendly interface. While some technical knowledge is required to use TeamCity, the design helps simply things.
Jason Kelly | TrustRadius Reviewer
Jason Kelly
Data and Analytics Manager
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Cons
DataKitchen
No answers on this topic
JetBrains
  • The customization is still fairly complex and is best managed by a dev support team. There is great flexibility, but with flexibility comes responsibility. It isn't always obvious to a developer how to make simple customizations.
  • Sometimes the process for dealing with errors in the process isn't obvious. Some paths to rerunning steps redo dependencies unnecessarily while other paths that don't are less obvious.
Larry Reed | TrustRadius Reviewer
Larry Reed
Senior Software Engineer
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Performance
DataKitchen
No answers on this topic
JetBrains
TeamCity runs really well, even when sharing a small instance with other applications. The user interface adequately conveys important information without being overly bloated, and it is snappy. There isn't any significant overhead to build agents or unit test runners that we have measured.
Anthony Aziz | TrustRadius Reviewer
Anthony Aziz
Senior Software Engineer
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Alternatives Considered
DataKitchen
No answers on this topic
JetBrains
TeamCity is a great on-premise Continuous Integration tool. Visual Studio Team Services (VSTS) is a hosted SAAS application in Microsoft's Cloud. VSTS is a Source Code Repository, Build and Release System, and Agile Project Management Platform - whereas TeamCity is a Build and Release System only. TeamCity's interface is easier to use than VSTS, and neither have a great deployment pipeline solution. But VSTS's natural integration with Microsoft products, Microsoft's Cloud, Integration with Azure Active Directory, and free, private, Source Code repository - offer additional features and capabilities not available with Team City alone.
Eric Huggins | TrustRadius Reviewer
Eric Huggins
Cloud Services Practice Manager and Principal Architect
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Return on Investment
DataKitchen
No answers on this topic
JetBrains
  • TeamCity has greatly improved team efficiency by streamlining our production and pre-production pipelines. We moved to TeamCity after seeing other teams have more success with it than we had with other tools.
  • TeamCity has helped the reliability of our product by easily allowing us to integrate unit testing, as well as full integration testing. This was not possible with other tools given our corporate firewall.
  • TeamCity's ability to include Docker containers in the pipeline steps has been crucial in improving our efficiency and reliability.
Verified User
Anonymous
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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.