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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    CircleCI

    Score9.3 out of 10
    N/ACircleCI is a software delivery engine from the company of the same name in San Francisco, that helps teams ship software faster, offering their platform for Continuous Integration and Continuous Delivery (CI/CD). Ultimately, the solution helps to map every source of change for software teams, so they can accelerate innovation and growth.

    $0

    for up to 6,000 build minutes and up to 5 active users per month

    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
    Pricing
    CircleCIOptimizely Feature Experimentation
    Editions & Modules
    Server
    Contact Sales
    Performance
    starting at $15
    per month
    Scale
    starting at $2000
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    CircleCIOptimizely Feature Experimentation
    Free Trial
    NoNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeRequired
    Additional Details——
    More Pricing Information
    Community Pulse
    CircleCIOptimizely Feature Experimentation
    Considered Both Products
    CircleCI
    No answer on this topic
    Optimizely
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    8 Answers
    89%
    Would buy again
    41 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    8 Answers
    97%
    Delivers good value for the price
    33 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    8 Answers
    91%
    Happy with the feature set
    42 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    88%
    Lived up to sales and marketing promises
    21 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    80%
    Implementation went as expected
    28 Answers
    Best Alternatives
    CircleCIOptimizely Feature Experimentation
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    AWS CodePipeline
    Score6.6 out of 10
    No answers on this topic
    Enterprises
    AWS CodePipeline
    Score6.6 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    CircleCIOptimizely Feature Experimentation
    Likelihood to Recommend
    9.0
    (27 ratings)
    8.2
    (47 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    4.5
    (2 ratings)
    Usability
    9.0
    (2 ratings)
    7.6
    (26 ratings)
    Performance
    7.8
    (3 ratings)
    -
    (0 ratings)
    Support Rating
    6.9
    (6 ratings)
    3.6
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    CircleCIOptimizely Feature Experimentation
    Likelihood to Recommend
    CircleCI
    Based on our experience, CircleCI is well-suited for automating mobile app release cycles. For example, to release an iOS app, you would need to build, sign, and upload it to TestFlight, which requires a dedicated Mac in the office. But with CircleCI, you can have macOS executors, so you don't have to manage a physical build machine. Another benefit is that CircleCI's certified AWS Orbs abstract away complex authentication and deployment logic, allowing us to build, push, and deploy Docker containers to Amazon ECS with minimal configuration and high reliability. CircleCI is less suited for smaller projects where the development and deployment are not that extensive, for example, a static site. Once you have built a static site, you probably won't make any further changes, so there's no point in paying for it.
    Incentivized
    Read full review
    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
    Read full review
    Pros
    CircleCI
    • Automated builds! This is really why you get CircleCI, to automate the build process. This makes building your application far more reliable and repeatable. It can also run tests and verify your application is working as expected.
    • Simple. Unlike Jenkins, Teamcity, or other platforms, CircleCI doesn't need a lot of setup. It's completely hosted, so there's no infrastructure to set up. The config file does take a bit to understand, but if you follow their example and start with something small and add to it, you can get it up and going quicker than it first looks.
    • Scales easily. Again, since it's all cloud-based, you don't have to manage or scale infrastructure. Simply subscribe to the number of containers you want, and scaling up just means buying more containers.
    Incentivized
    Read full review
    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
    Read full review
    Cons
    CircleCI
    • While configuration is easy, the config files can get very very long.
    • Price compared to some alternatives that are cheaper / free. Especially so if you are running multiple containers in parallel.
    • Have experienced numerous outages (3-5) in the last few months where CircleCI has been down.
    • Web documentation and tutorials haven't been as good as some of the competitors.
    Incentivized
    Read full review
    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
    Read full review
    Likelihood to Renew
    CircleCI
    No answers on this topic
    Optimizely
    Competitive landscape
    Incentivized
    Read full review
    Usability
    CircleCI
    The reliability & speed, it just works. The ability to spin up macOS runners and Docker containers on demand without managing hardware is a huge win. The Orbs system makes integrating with AWS and Slack incredibly easy, saving us weeks of custom scripting and providing real-time updates in our Slack channel. This makes it easy for us to track and ensures that everyone involved knows the status. Of course, it has drawbacks related to configuration complexity and, in some cases, cost transparency, but overall, it is an industry-standard, robust tool that solves our core infrastructure problems well.
    Incentivized
    Read full review
    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
    Read full review
    Performance
    CircleCI
    It's pretty snappy, even with using workflows with multiple steps and different docker images. I've seen builds take a long time if it's really involved, but from what I can tell, it's still at least on par if not faster than other build tools.
    Incentivized
    Read full review
    Optimizely
    No answers on this topic
    Support Rating
    CircleCI
    Unless you have a reasonably large account, you're going to be mainly stuck reading their documentation. Which has improved somewhat over the years but is still extremely limited compared to a platform like Digital Ocean who invested in the documentation and a community to ensure it's kept up to date. If you can't find your answer there, you can be stuck.
    Incentivized
    Read full review
    Optimizely
    Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams
    Incentivized
    Read full review
    Implementation Rating
    CircleCI
    No answers on this topic
    Optimizely
    It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it
    Incentivized
    Read full review
    Alternatives Considered
    CircleCI
    Jenkins is usually self-hosted, Travis CI's infrastructure is largely unreliable (lots of tests time out for no discernable reason), and Semaphore encourages you to configure your CI/CD from a web UI. We like CircleCI because its hosted, our tests run largely as expected on their infrastructure, and we can configure it from a config file that we track in GitHub.
    Incentivized
    Read full review
    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
    Read full review
    Scalability
    CircleCI
    No answers on this topic
    Optimizely
    had troubles with performance for SSR and the React SDK
    Incentivized
    Read full review
    Return on Investment
    CircleCI
    • We pay over $5K/ month and we have high expectations for service. Sometimes I feel that we don't get the value, but only sometimes.
    • We have had to build our own application to keep state and broker releases and deployments. We call our app deployer. I feel that CircleCI could do more to understand our needs and possibly build additional features that would enable us to invest less in build and deployment infrastructure and justify paying more for Circle.
    Incentivized
    Read full review
    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
    Read full review
    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