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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

    Zabbix

    Score8.5 out of 10
    N/AZabbix is an open-source network performance monitoring software. It includes prebuilt official and community-developed templates for integrating with networks, applications, and endpoints, and can automate some monitoring processes.N/A
    Pricing
    Optimizely Feature ExperimentationZabbix
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Optimizely Feature ExperimentationZabbix
    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 ExperimentationZabbix
    Considered Both Products
    Optimizely
    No answer on this topic
    Zabbix
    No answer on this topic
    Key User Insights
    Would buy again
    89%
    Would buy again
    41 Answers
    100%
    Would buy again
    15 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    33 Answers
    100%
    Delivers good value for the price
    15 Answers
    Happy with the feature set
    91%
    Happy with the feature set
    42 Answers
    93%
    Happy with the feature set
    14 Answers
    Lived up to sales and marketing promises
    88%
    Lived up to sales and marketing promises
    21 Answers
    90%
    Lived up to sales and marketing promises
    9 Answers
    Implementation went as expected
    80%
    Implementation went as expected
    28 Answers
    100%
    Implementation went as expected
    13 Answers
    Best Alternatives
    Optimizely Feature ExperimentationZabbix
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    No answers on this topic
    Icinga
    Score9 out of 10
    Enterprises
    No answers on this topic
    HPE OneView
    Score6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Optimizely Feature ExperimentationZabbix
    Likelihood to Recommend
    8.2
    (47 ratings)
    8.3
    (28 ratings)
    Likelihood to Renew
    4.5
    (2 ratings)
    9.0
    (3 ratings)
    Usability
    7.6
    (26 ratings)
    8.6
    (4 ratings)
    Support Rating
    3.6
    (1 ratings)
    5.0
    (5 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    8.0
    (2 ratings)
    Product Scalability
    5.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Optimizely Feature ExperimentationZabbix
    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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    Zabbix
    Zabbix is great for monitoring your servers and seeing alerts when the system uses too much CPU or memory. This allowed the system Engineer to be proactive and add resources to these systems to avoid interrupting the services. Especially servers running operations applications and services. This is one of the best usages for Zabbix.
    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
    Read full review
    Zabbix
    • Collecting hardware data - CPU, Memory, Network, and Disk Metrics are collected and reported on.
    • Flexible design - It is very easy to build out even very large environments via the templating system. You can also start where you are - network monitoring, server monitoring, etc. and then build it out from there as time and resources permit.
    • Provides a "plugin architecture" (via XML templates) to allow end users to extend it to monitor all kinds of equipment, software, or other metrics that are not already added into the software already.
    • Very complete documentation. Almost every aspect of Zabbix has been documented and reported on.
    • Cost - Zabbix is FOSS software and always free. Support is reasonably priced and readily available.
    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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    Zabbix
    • Creating an alert & its trigger can be made easier.
    • More VM-based data collection counters should be introduced to have better VM monitoring.
    • The raw counters collection agent in every node is relatively weak. It goes down often, which needs more stability.
    Incentivized
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    Likelihood to Renew
    Optimizely
    Competitive landscape
    Incentivized
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    Zabbix
    It is free. It didn't cost anything to implement (other than my time and the cost incurred for it) and it is filling a badly needed gap in our IT infrastructure. Support is available if we have issues and can be done annually or paid for on a per incident basis as needed. Expansion, updates, and all other future lifecycle activities are likewise free of cost, so as long as someone is able to implement/maintain the software (and the OSS project is maintained) then I imagine the company will never leave it.
    Incentivized
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    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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    Zabbix
    I think every organization, especially the IT department, needs a tool like this. I know of another product like Zabbix that gives a similar or the same solution, but its range makes it very useful. You can see almost all the device info in one place: disk usage, disk space, network usage, etc.
    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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    Zabbix
    The setup is the most time-consuming portion of using zabbix. It takes a lot of effort to shape it into a usable format and even then it can get very messy. It's not exactly intuitive and as mentioned the UI seems a bit antiquated. If I was to roll out a monitoring solution from scratch, I'd probably look for alternatives which are easier to use and maintain.
    Incentivized
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    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
    Read full review
    Zabbix
    We are a mainly Windows environment, so it would be useful if we could have used Active Directory to deploy agents. As of version 4.2, Zabbix has announced a new agent MSI file to allow exactly that. Unfortunately, we didn't have that option. Also, for Linux and MAC deployments, there is no simple way to deploy that. Using remote scripts you may be able to create something, but most places will opt for either SNMP (agentless) or manual installation of agents to add to Zabbix. A way of deploying agents via discovery would go a long way to helping in the adoption of the tool.
    Incentivized
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    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
    Read full review
    Zabbix
    We're using the Solarwinds suite as our global monitoring standard, but it is very complex and its licensing model makes it difficult to monitor a wide range of technologies. So, we're using Zabbix as a complement on our monitoring process. Zabbix is a way more flexible and has free integrations to a wide range of technologies. It is also more 'user friendly' and easy to manage.
    Incentivized
    Read full review
    Scalability
    Optimizely
    had troubles with performance for SSR and the React SDK
    Incentivized
    Read full review
    Zabbix
    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
    Read full review
    Zabbix
    • Good ROI when trying to get ahead of network related problems instead of waiting for users to complain
    • Good ROI when doing upgrades or exploratory work on a neglected network
    • Good ROI when showing usage trends to management showing higher actual usage versus what was thought to be happening
    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