ConfigCat vs. Optimizely Feature Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ConfigCat
Score 9.0 out of 10
N/A
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
Optimizely Feature Experimentation
Score 7.6 out of 10
N/A
Optimizely Feature Experimentation combines experimentation, feature flagging and built for purpose collaboration features into one platform.N/A
Pricing
ConfigCatOptimizely 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
No answers on this topic
Offerings
Pricing Offerings
ConfigCatOptimizely Feature Experimentation
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeRequired
Additional DetailsFair 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.
More Pricing Information
Community Pulse
ConfigCatOptimizely Feature Experimentation
Top Pros
Top Cons
Best Alternatives
ConfigCatOptimizely Feature Experimentation
Small Businesses
Kameleoon
Kameleoon
Score 9.5 out of 10
Kameleoon
Kameleoon
Score 9.5 out of 10
Medium-sized Companies
Kameleoon
Kameleoon
Score 9.5 out of 10
Kameleoon
Kameleoon
Score 9.5 out of 10
Enterprises
Kameleoon
Kameleoon
Score 9.5 out of 10
Kameleoon
Kameleoon
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ConfigCatOptimizely Feature Experimentation
Likelihood to Recommend
9.0
(14 ratings)
7.4
(15 ratings)
Likelihood to Renew
9.1
(1 ratings)
8.0
(1 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
9.1
(3 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
ConfigCatOptimizely Feature Experimentation
Likelihood to Recommend
ConfigCat
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.
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Optimizely
Optimizely Feature Experimentation is good if you have a clear release process that incorporates It into your current product release cycle. However, It requires a lot of resources and time, especially at the start when teams are learning how to use and deploy it. Therefore, it may not be the best Experimentation to go for if you are starting in your Experimentation journey.
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Pros
ConfigCat
  • Fast and easy feature toggling that gets developers developing
  • World class support in both speed and quality for how to best use the service
  • Great ear for customer needs and fast paced development
Read full review
Optimizely
  • Its ability to run A/B tests and multivariate experiments simultaneously allows us to identify the best-performing options quickly.
  • Optimizely blends into our analytics tools, giving us immediate feedback on how our experiments are performing. This tool helps us avoid interruptions. With this pairing, we can arrive at informed decisions quickly.
  • Additionally, feature toggles enable us to introduce new features or modifications to specific user groups, guaranteeing a smooth and controlled user experience. This tool helps us avoid interruptions.
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Cons
ConfigCat
  • No automatic push for flag changes - have to write our own webhooks
  • No scheduling interface for flipping flags automatically on a schedule
  • Interface is a bit cluttered for people who are just flipping flags
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Optimizely
  • Extremely confusing, complicated, and unintuitive webapp. It's hard to figure out if a feature flag is active and what it will evaluate to for a given user, organization, or audience. The app has many different toggles for enabling, disabling, and targeting a flag, and they don't follow a consistent design.
  • Slow and buggy login process
  • Difficult to use human-readable aliases for user IDs and organization IDs when defining audiences. We maintain spreadsheets to understand our Optimizely configurations
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Likelihood to Renew
ConfigCat
ConfigCat has done the job, and has been great to work with.
Read full review
Optimizely
No answers on this topic
Usability
ConfigCat
No answers on this topic
Optimizely
All features that we used were pretty clear. They have a good documentation
Read full review
Support Rating
ConfigCat
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,
Read full review
Optimizely
No answers on this topic
Implementation Rating
ConfigCat
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
Read full review
Alternatives Considered
ConfigCat
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.
Read full review
Optimizely
Google Tag Manager was less flexible for the business and required the Google Analytics tool for analysis and metric tracking. Optimizely allows the building of use cases. Optimizely provides real-time data and metrics that are easier to use. GTM provides tracking capabilities on marketing campaigns, however, Google Analytics could potentially store user personal data.
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Scalability
ConfigCat
No answers on this topic
Optimizely
had troubles with performance for SSR and the React SDK
Read full review
Return on Investment
ConfigCat
  • 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.
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Optimizely
  • Optimizely has helped us increase our website's conversion rate by 20%. This has resulted in more revenue with the same level of traffic.
  • Optimizely's feature flagging capability has lowered the risk associated with releasing new features, leading to a 15% decrease in development costs.
  • The integration of Optimizely's real-time analytics has allowed us to make decisions based on data, getting rid of guesswork and errors.
Read full review
ScreenShots

ConfigCat Screenshots

Screenshot of Feature flags for teams.Screenshot of NIce and simple user interface to manage your feature flags.Screenshot of NIce and simple user interface to manage your feature flags.Screenshot of Comprehensive technical documentation.

Optimizely Feature Experimentation Screenshots

Screenshot of AI Variable suggestions: AI helps to develop higher quality experiments. Optimizely’s Opal suggests content variations in experiments, and helps to increase test velocity  and improve experiment qualityScreenshot of Integrations: display of the available integrations in-app.Screenshot of Reporting used to share insights, quantify experimentation program performance using KPIs like velocity and conclusive rate across experimentation projects, and to drill down into the charts and figures to see an aggregate list of experiments. Results can be exported into a CSV or Excel file, and KPIs can be segmented using project filters, experiment type filters, and date rangesScreenshot of Collaboration: Centralizes tracking tasks in the design, build, and launch of an experiment to ensure experiments are launched on time . Includes calendar, timeline, and board views in customizable views that can be saved to share with other stakeholdersScreenshot of Scheduling: Users can schedule a Flag or Rule to toggle on/off,  traffic allocation percentages, and achieve faster experimentation velocity and smoother progressive rolloutsScreenshot of Metrics filtering: Dynamic event properties to filter through events. Dynamic events provide better insights for experimenters who can explore metrics in depth for more impactful decisions