Mendix vs. Optimizely Feature Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Mendix
Score 8.0 out of 10
Enterprise companies (1,001+ employees)
Mendix is a low code platform-as-a-service offering with mobile and social extensions. Mendix was acquired by Siemens August 2018.
$0
Optimizely Feature Experimentation
Score 8.2 out of 10
N/A
Optimizely 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
MendixOptimizely Feature Experimentation
Editions & Modules
Free Edition
$0
Pro Edition
1,250
per month (billed annually)
Enterprise Edition
1,675
per month (billed annually)
No answers on this topic
Offerings
Pricing Offerings
MendixOptimizely Feature Experimentation
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeOptionalRequired
Additional Details
More Pricing Information
Community Pulse
MendixOptimizely Feature Experimentation
Features
MendixOptimizely Feature Experimentation
Low-Code Development
Comparison of Low-Code Development features of Product A and Product B
Mendix
8.9
10 Ratings
6% above category average
Optimizely Feature Experimentation
-
Ratings
Visual Modeling9.110 Ratings00 Ratings
Drag-and-drop Interfaces9.010 Ratings00 Ratings
Platform Security9.010 Ratings00 Ratings
Platform User Management8.510 Ratings00 Ratings
Reusability8.910 Ratings00 Ratings
Platform Scalability8.910 Ratings00 Ratings
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User Ratings
MendixOptimizely Feature Experimentation
Likelihood to Recommend
9.0
(67 ratings)
8.3
(48 ratings)
Likelihood to Renew
-
(0 ratings)
4.5
(2 ratings)
Usability
8.2
(13 ratings)
7.7
(27 ratings)
Support Rating
8.4
(15 ratings)
3.6
(1 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
MendixOptimizely Feature Experimentation
Likelihood to Recommend
Siemens AG
Mendix excels in scenarios involving Business Process Automation, making it a strong choice for applications requiring workflow automation, including processes like request approvals, document management, and other business workflows.Conversely, Mendix may be less suitable for projects that demand highly customized solutions with extensive custom coding. Its primary focus on low-code development may not align well with the requirements of projects that heavily rely on intricate and specialized coding.
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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 -
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Pros
Siemens AG
  • We're able to really easily develop different views that are very specific to a customer's needs or customer's different types of user needs. So for example, the production managers can have a certain view that's relevant to them and then certain line managers can have views that are specific to them that allow them to run different scenarios which they define. So it allows us to easily build customized apps for each different type of user.
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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.
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Cons
Siemens AG
  • Earlier versions lacked in UI/Ux. This is still improving.
  • Since everyone and anyone can create custom add ons (widgets), Mendix could improve their quality checks (but not as rigid as eg Apple).
  • Upgradeability used to be somewhat of an issue. Version 7 looks to be handling this better than previous versions.
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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
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Likelihood to Renew
Siemens AG
No answers on this topic
Optimizely
Competitive landscape
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Usability
Siemens AG
A 10 would say I have nothing to wish for. A 9 means I haven't seen anything better.This tool really helps you in the whole creation and maintenace cycle, so from requirements to building/modeling to testing to deploying to capturing feedback.
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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
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Support Rating
Siemens AG
Response times are quick and you will get updates regularly about the status of your request. Even with very technical questions they have specialists that can help you with your problems it will give you an answer or help you with a work around.
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Optimizely
Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams
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Implementation Rating
Siemens AG
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
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Alternatives Considered
Siemens AG
Mendix would be my preferred system all the way. The system is designed for these kinds of works. I've worked with WP and DNN but they should be used just for websites. To create an app for a business value, I would suggest Mendix. Also, the offline capabilities of Mendix have greatly improved since the deployment of Mendix 7.13.
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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
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Scalability
Siemens AG
No answers on this topic
Optimizely
had troubles with performance for SSR and the React SDK
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Return on Investment
Siemens AG
  • It helps to speed up application development because of its low code by the fact that it's low code. It allows professional developers to focus more on specialized application development rather than the more routine application development that business IT and super users can do for themselves with some coaching from the IT department. So it's just allowing the more specialist professional developers.net, for example, Java in our organization to focus on more complex engineering application developments.
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Optimizely
  • We have a huge, noteworthy ROI case study of how we did a SaaS onboarding revamp early this year. Our A/B test on a guided setup flow improved activation rates by 20 percent, which translated to over $1.2m in retained ARR.
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ScreenShots

Mendix Screenshots

Screenshot of Agile Project Management: Collaborate. Manage. Iterate.Screenshot of Central App Management: Application Management Made Easy.Screenshot of App Store: Hundreds of building blocks to get you out of the gate.Screenshot of 1-Click Deployment: Efficient DevOps. Enabled.

Optimizely Feature Experimentation Screenshots

Screenshot of Feature Flag Setup. Here users can run flexible 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