ConfigCat allows the user to launch new features and change software configuration without (re)deploying code. ConfigCat SDKs enable easy integration with any web, mobile or backend applications. The ConfigCat website enables non-developers too to switch ON/OFF application features or change software configuration. This way the user can decouple feature launches and configuration from code deployment.
$0
per month
monday dev
Score 8.5 out of 10
N/A
monday dev is a product to plan, track, and ship software while staying connected to the business, featuring AI capabilities that allow it to analyze bugs as they are submitted, summarize product documents, and automatically assign tasks.
$36
per month 3 seats (minimum)
Optimizely Feature Experimentation
Score 8.3 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
ConfigCat
monday dev
Optimizely Feature Experimentation
Editions & Modules
Free
$0.00
per month
Professional
$49.00
per month
Unlimited
$199.00
per month
Dedicated on-premise infra
$1499.00
per month
Dedicated hosted infra
$1499.00
per month
Basic
$12
per month per seat
Standard
$14.5
per month per seat
Pro
$25
per month per seat
Enterprise
Contact Sales
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Offerings
Pricing Offerings
ConfigCat
monday dev
Optimizely Feature Experimentation
Free Trial
Yes
Yes
No
Free/Freemium Version
Yes
No
Yes
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Required
Additional Details
Fair pricing policy: All features available in all plans, even in Free. Simple and predictable prices. No hidden fees. We don't charge for team size. We don't charge for MAUs (monthly active users). Our plans only differ in limitations.
If you are looking for an experimentation/feature flag style tool that is quick to adopt and provides enough functionality for light/medium use cases, then this is the tool for you. Additionally, they are growing and expanding their functionality and feature set so they can grow alongside you and your needs. The publicly accessible roadmap is also a great benefit to see where time is being spent on which feature next.
I find Monday helpful for lead management. It's great because details like phone, email, and addresses are specific columns from which we can grab data and pull it into other areas. It's great to see who is assigned what and to know what the next steps are for your leads. We use a different scheduling tool with our team, as that calendar view isn't as robust.
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 -
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.
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
Just everything from the website to locating what i need (docs) specific to my platforms is super easy. Not to mention the support articles answering previous questions
I give a ten for monday dev's usability because it was a really smooth transition coming from Jira to monday dev. All team members also felt that way. When managing projects, the quality and various options I am able to customize views and columns for each task is really a dealbreaker. Approved.
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
They have a community Slack channel that is open to anyone. They always seem to have people in there, even over the weekends and are always happy to answer any questions you have,
At iBinder we searched for and vetted several suppliers of a feature toggle service to handle feature toggling in our production environment. In addition to our functional requirements, it was crucial for us to find a partner that could deliver an EU-compliant service. We finally decided to sign a service agreement with ConfigCat. This has been a real success story for us – in addition to being compliant, ConfigCat delivers an amazing, flexible, and reliable service. They continue to impress by also being very transparent and having a fantastic support and they are very solution oriented and accommodating when it comes to our feature requests etc. We have now used ConfigCat for approximately 2 years and we give our warmest recommendations to anyone who needs a stable, reliable and EU-compliant feature toggle service.
It is at least as good as these tools, in many ways, it is better because it is easier to use and setup. It doesn't require a full-time admin like these tools do. It does lack some of the detailed reporting and such that these offer, but the product is still young and growing. These are much more well-developed tools
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
Allowed us to migrate seamlessly from a major customer communication system to another, reducing end-user friction and production bugs by being able to turn features off if they didn't work as intended.
We went from zero experimentation to running 10-20 experiments concurrently across systems. Engineering teams are thinking in an experimentation mindset.
Although the initial operational cost is usually somewhat high, it is really worth considering in an environment with more than 10 employees working together.
In project costing (web development) it is quite acceptable and falls within the scope of the final product quote.
I don't have exact numbers or percentages (because I'm not in charge of that section) but I can say that it falls within a good to acceptable ROI range.
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.
