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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    DataKitchen DataOps Platform

    N/AN/AThe 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

    Score7.4 out of 10
    N/ATeamCity 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
    Considered Both Products
    DataKitchen
    No answer on this topic
    JetBrains
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
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    Best Alternatives
    DataKitchen DataOps PlatformTeamCity
    Small Businesses
    Octopus Deploy
    Score10 out of 10
    Apache Maven
    Score9.9 out of 10
    Medium-sized Companies
    Octopus Deploy
    Score10 out of 10
    Apache Maven
    Score9.9 out of 10
    Enterprises
    Octopus Deploy
    Score10 out of 10
    Gradle Build Tool (Open Source)
    Score9 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.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    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.
    Incentivized
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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.
    Incentivized
    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.