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The best-in-class experimentation and feature flagging platform for you
If you are looking for the most robust feature flagging platform for testing your website and applications, look no further! Optimizely’s Feature Experimentation (previously known as Full Stack) promises more features, greater personalization capabilities, and more comprehensive program management features than its competitors. With each new feature, you will find a greater opportunity to capture more customer-driven feedback from your tests and drive growth for your business.
Check out the feature comparison below for details on how Optimizely’s Feature Experimentation compares to the four top competitors in feature flagging and testing.
Feature Highlights
In experimentation, we know that better features = better performance = greater insight. Optimizely invests heavily in building quality products to ensure that our customers have a deep knowledge of the patterns and interactions of their websites and applications. Having a comprehensive platform for your feature flagging needs increases your ability to test your applications, track customer engagement, and drive success through customer-driven data and insight.
Best-in-class Experimentation with every Feature FlagTest multiple variations of any feature and roll out the winner without an extra deployment |
World-class Experimentation SupportLevel-up your experimentation program by leveraging Optimizely's expertise in leading digital experimentation over the last decade and our community of experimentation experts |
Ultra Low Latency DecisionsUse Optimizely's 12+ SDKs to make extremely fast decisions, so your experiments don't slow your customers' experiences |
Targeted DeliveriesRoll out your features to a fraction of your overall traffic or to specific audiences for smooth releases |
Multiple Concurrent Experiments per Feature FlagMaximize the number of insights you can seek at the same time for the same feature |
Mutually Exclusive ExperimentsEliminate spill-over effects from running multiple experiments in one customer experience. Leave the complexity of managing orthogonal experimental groups to Optimizely |
Stats AcceleratorMinimize the time to statistical significance and insights by dynamically adjusting traffic allocation with machine learning |
Multi-armed BanditMaximize conversions by dynamically allocating traffic to variations that show the best performance |
Optimizely's Feature Experimentation vs. The Competition
Find out why Optimizely has the best-in-class industry expertise
Experiment Types |
Optimizely |
LaunchDarkly |
VWO |
Split.io |
ABTasty |
| Multi-Armed Bandits Using data science, pick a performant feature variation faster. You decide what to optimize for |
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| Multivariate Testing ? Test multiple variables in A/B testing |
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| Mutually Exclusive Experiments ? | |
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Feature Management |
Optimizely |
LaunchDarkly |
VWO |
Split.io |
ABTasty |
| Kill switches ? Need to roll something back quickly without a deploy/software update? Kill features remotely |
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| Progressive delivery capability ? Slowly roll out new features and back using the UI |
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| App feature management ? Skip long deployment cycles and App Store review and remotely configure features in mobile, OTT and other apps |
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| Phased roll outs ? Use targeting rules and percentage roll outs to determine who sees what and when |
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| Feature Rollouts ? Rollout new features for your users to view live |
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| Feature Flags ? Toggle features on/off remotely or use percentage rollouts |
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| Feature Variables ? |
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API & SDKs |
Optimizely |
LaunchDarkly |
VWO |
Split.io |
ABTasty |
| Event Data Export ? Access your event data programmatically |
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| REST API Use the REST API to control your experiments |
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| Webhooks Notifies your system when a project is updated |
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| SDKs ? Server-side, client side, mobile, and OTT kits |
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Implementation |
Optimizely |
LaunchDarkly |
VWO |
Split.io |
ABTasty |
| Environments Implement different environments and platforms |
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| Whitelisting ? Shows specified variations to a few, select users |
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| Integrations Apps, CMS, code references, etc. |
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| Logging Logs information about your experiments to help you with debugging |
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| User Profiles ? | |
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Security and Administrative Control |
Optimizely |
LaunchDarkly |
VWO |
Split.io |
ABTasty |
| Single Sign-On (SSO) | |
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| Account level-2-step verification | |
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| Individual 2-step verification | |
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| User-Based Roles & Permissions ? Assign different roles (Administrators, Project Owners, Editors, and Viewers) to each person on the team |
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Results |
Optimizely |
LaunchDarkly |
VWO |
Split.io |
ABTasty |
| Experiment results page See results for your experiment on a results page |
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| Stats Engine Statistical framework that lets you run experiments and easily interpret results |
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| Metrics Track the performance of your experiments |
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| Offline Events ? Programmatically send events to results using offline events endpoint |
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| Custom Segmentation Allows segmentation by specific parameters (i.e. browser type, device type, campaign, etc.) |
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Targeting |
Optimizely |
LaunchDarkly |
VWO |
Split.io |
ABTasty |
| Bucketing and provisioning ? Use advanced audience rule sets to group and target users |
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| Audience Builder Create your audience based on criteria you set |
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| Custom Attributes (Visual Editor) Add visitors to your experiment based on custom information without using code |
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Program Management and Support |
Optimizely |
LaunchDarkly |
VWO |
Split.io |
ABTasty |
| Change History | |
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| Workflow & Approvals ? Assign different phases of the experiment process to your team and approve next steps |
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More Features
Optimizely excels above its competitors in features and quality. Click below to find a list of additional features when you choose Feature Experimentation for your feature flagging needs.
Feature Management
- Exclusion groups
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- Easily exclude users who should not see specific features
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- Up to 10 million Customizable Number of Collaborators
- Program management
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- Easily keep track of features and ideas in one place. Never keep flags live too long again
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- Developer configuration first, then collaborate with others
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- Remote configuration is easy enough to let anyone control features, you decide the rules
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Create and Deliver Experiences
- Unlimited Number of Concurrent Experiments
- Unlimited Number of Projects
- Up to 10 million MAUs/Impressions included
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- Monthly Active Users
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- Traffic Allocation
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- Allocate the percentage of traffic that sees the live experiment
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Program Management
- Cross-Project Events
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- Helps you to track key events
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- CSV Export
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- Export all user keys for a flag's targeting settings as a spreadsheet
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- Flexible Segmentation
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- Combine multiple user attributes to further filter experiment results
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- Unlimited Number of Teams
- Idea Backlog
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- Capture your ideas for experimentation
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- Customizable Experiment Documentation
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- Teams can document hypothesis, goals, and other requirements for your experiments
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- Idea Scoring
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- Scores your idea based on a chosen criterion
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- Commenting
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- Comment on ideas, experiments, and analyses to facilitate better communication between your team
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- Results Repository
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- Search an archive of experiment results and analysis
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- Test Velocity Reporting
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- Experiments started over time
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- Win Rate Reporting
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- Reporting for the percentage of experiments that result in a positive impact to your business
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- Operational Reports
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- Reports that show how efficiently your experimentation program runs
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- Automated Program Analysis
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- Automated insights on how to improve your experimentation program
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- Reporting Filtering
Support
- Community Support
- Enterprise Onboarding
- SDK/IT Support
How does Optimizely compare to LaunchDarkly?
With a robust feature selection and deep program management options, Optimizely leverages every opportunity to give customers more insights.
See how Optimizely's Feature Experimentation compares to LaunchDarkly.
