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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Optimizely Feature Experimentation

    Score8.4 out of 10
    N/AOptimizely Feature Experimentation unites feature flagging, A/B testing, and built-in collaboration—so marketers can release, experiment, and optimize with confidence in one platform.N/A

    TeamCity

    Score7.1 out of 10
    N/ATeamCity is a continuous integration server from Czeck company JetBrains.N/A
    Pricing
    Optimizely Feature ExperimentationTeamCity
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Optimizely Feature ExperimentationTeamCity
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeRequiredNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Optimizely Feature ExperimentationTeamCity
    Considered Both Products
    Optimizely
    No answer on this topic
    JetBrains
    No answer on this topic
    Key User Insights
    Would buy again
    89%
    Would buy again
    41 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    33 Answers
    No answers on this topic
    Happy with the feature set
    91%
    Happy with the feature set
    42 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    88%
    Lived up to sales and marketing promises
    21 Answers
    No answers on this topic
    Implementation went as expected
    80%
    Implementation went as expected
    28 Answers
    No answers on this topic
    Best Alternatives
    Optimizely Feature ExperimentationTeamCity
    Small Businesses
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    Apache Maven
    Score9.1 out of 10
    Medium-sized Companies
    No answers on this topic
    Apache Maven
    Score9.1 out of 10
    Enterprises
    No answers on this topic
    Gradle Build Tool (Open Source)
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Optimizely Feature ExperimentationTeamCity
    Likelihood to Recommend
    8.2
    (47 ratings)
    10.0
    (18 ratings)
    Likelihood to Renew
    4.5
    (2 ratings)
    -
    (0 ratings)
    Usability
    7.6
    (26 ratings)
    -
    (0 ratings)
    Performance
    -
    (0 ratings)
    9.3
    (2 ratings)
    Support Rating
    3.6
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    5.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Optimizely Feature ExperimentationTeamCity
    Likelihood to Recommend
    Optimizely
    Based on my experience with Optimizely Feature Experimentation, I can highlight several scenarios where it excels and a few where it may be less suitable. Well-suited scenarios: - Multi-Channel product launches - Complex A/B testing and feature flag management - Gradual rollout and risk mitigation Less suited scenarios: - Simple A/B tests (their Web Experimentation product is probably better for that) - Non-technical team usage -
    Incentivized
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    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
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    Pros
    Optimizely
    • It is easy to use any of our product owners, marketers, developers can set up experiments and roll them out with some developer support. So the key thing there is this front end UI easy to use and maybe this will come later, but the new features such as Opal and the analytics or database centric engine is something we're interested in as well.
    Incentivized
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    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
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    Cons
    Optimizely
    • Would be nice to able to switch variants between say an MVT to a 50:50 if one of the variants is not performing very well quickly and effectively so can still use the standardised report
    • Interface can feel very bare bones/not very many graphs or visuals, which other providers have to make it a bit more engaging
    • Doesn't show easily what each variant that is live looks like, so can be hard to remember what is actually being shown in each test
    Incentivized
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    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
    Likelihood to Renew
    Optimizely
    Competitive landscape
    Incentivized
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    JetBrains
    No answers on this topic
    Usability
    Optimizely
    Easy to navigate the UI. Once you know how to use it, it is very easy to run experiments. And when the experiment is setup, the SDK code variables are generated and available for developers to use immediately so they can quickly build the experiment code
    Incentivized
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    JetBrains
    No answers on this topic
    Performance
    Optimizely
    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
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    Support Rating
    Optimizely
    Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams
    Incentivized
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    JetBrains
    No answers on this topic
    Implementation Rating
    Optimizely
    It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it
    Incentivized
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    JetBrains
    No answers on this topic
    Alternatives Considered
    Optimizely
    When Google Optimize goes off we searched for a tool where you can be sure to get a good GA4 implementation and easy to use for IT team and product team. Optimizely Feature Experimentation seems to have a good balance between pricing and capabilities. If you are searching for an experimentation tool and personalization all in one... then maybe these comparison change and Optimizely turns to expensive. In the same way... if you want a server side solution. For us, it will be a challenge in the following years
    Incentivized
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    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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    Scalability
    Optimizely
    had troubles with performance for SSR and the React SDK
    Incentivized
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    JetBrains
    No answers on this topic
    Return on Investment
    Optimizely
    • We have improved various metrics throughout the course of our experimentation program with Optimizely and therefore sharing numbers is tricky. Essentially we only implement versions of the product that perform the best in terms of CVR, revenue/visitor, ATV, average order value, average basket size and so forth dependent on the north star we are trying to move with each release.
    Incentivized
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    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
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    ScreenShots

    Optimizely Feature Experimentation Screenshots

    Screenshot of Feature Flag Setup. Here users can run A/B and multi-armed bandit tests, as well as:

- Set up a single feature flag to test multiple variations and experiment types
- Enable targeted deliveries and rollouts for more precise experimentation
- Roll back changes quickly when needed to ensure experiment accuracy and reduce risks
- Increase testing flexibility with control over experiment types and delivery methodsScreenshot of Audience Setup. This is used to target specific user segments for personalized experiments, and:

- Create and customize audiences based on user attributes
- Refine audience segments to ensure the right users are included in tests
- Enhance experiment relevance by setting specific conditions for user groupsScreenshot of Experiment Results, supporting the analysis and optimization of experimentation outcomes. Viewers can also:

- examine detailed experiment results, including key metrics like conversion rates and statistical significance
- Compare variations side-by-side to identify winning treatments
- Use advanced filters to segment and drill down into specific audience or test dataScreenshot of A Program Overview. These offer insights into any experimentation program’s performance. It also offers:

- A comprehensive view of the entire experimentation program’s status and progress
- Monitoring for key performance metrics like test velocity, success rates, and overall impact
- Evaluation of the impact of experiments with easy-to-read visualizations and reporting tools
- Performance tracking of experiments over time to guide decision-making and optimize strategiesScreenshot of AI Variable Suggestions. These enhance experimentation with AI-driven insights, and can also help with:

- Generating multiple content variations with AI to speed up experiment design
- Improving test quality with content suggestions
- Increasing experimentation velocity and achieving better outcomes with AI-powered optimizationScreenshot of Schedule Changes, to streamline experimentation. Users can also:

- Set specific times to toggle flags or rules on/off, ensuring precise control
- Schedule traffic allocation percentages for smooth experiment rollouts
- Increase test velocity and confidence by automating progressive changes