LaunchDarkly vs Statsig

by Gralio Mar 11, 2025

LaunchDarkly and Statsig are both feature management and experimentation platforms, but they cater to different needs. LaunchDarkly excels in precise feature control and integrates seamlessly with development workflows, while Statsig provides a broader set of tools for A/B testing and product analytics, all within a single platform. Statsig's free tier makes it a great starting point for smaller teams or those looking to explore experimentation. LaunchDarkly's more robust feature flagging is better suited for complex rollout strategies and enterprise-level control.

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This comparison was created by analysing 565 reviews and 60 websites, saving 3 hours, 38 minutes of reading.

About

LaunchDarkly is a software tool that helps companies release new features and updates to their products safely and gradually. Instead of launching big, risky updates, you can use LaunchDarkly to control who sees what, when. This lets you test new features with small groups, target specific customer types, and easily reverse changes if needed. It's like having a volume knob for your software releases, giving you more control and reducing potential issues.
Statsig is a comprehensive platform that helps businesses make data-driven decisions about their products. It offers tools for feature flagging, A/B testing, and product analytics, all in one place. This means you can test different versions of features and see how they perform with your users, making it easier to iterate and improve your product. Statsig is designed to be used by various teams, including engineering, product management, and data science, making it a versatile tool for mid-sized companies. They offer a free plan to help you get started.

Summary

Main difference
LaunchDarkly is a dedicated feature flagging platform ideal for precise control over feature rollouts and targeting specific user segments. Statsig offers a broader suite of tools including A/B testing and product analytics, making it a more comprehensive solution for data-driven product development.

Relative strengths of LaunchDarkly (compared to Statsig)

  • Superior feature flag management with advanced targeting and segmentation.

  • Stronger integrations with development tools and platforms.

  • More mature and established platform with a proven track record.

Relative weaknesses of LaunchDarkly (compared to Statsig)

  • Higher cost, especially for larger teams or high event volumes.

  • Less comprehensive analytics compared to Statsig.

  • Steeper learning curve for users new to feature flagging.

What companies are using LaunchDarkly and Statsig?

Who should use LaunchDarkly VS. Statsig

LaunchDarkly helps development teams safely release and manage features. Teams can target specific users, test features in real-time, and easily rollback if needed. Users praise its ease of use and integration capabilities but note occasional performance issues and the complexity of managing numerous flags.

Statsig is a product development platform that helps businesses make data-driven decisions. It offers feature flagging, A/B testing, and product analytics. Users praise its easy implementation and helpful customer support, while some find the documentation and debugging challenging. Statsig is ideal for medium to large software companies, especially B2B SaaS and e-commerce, aiming to improve their products with user feedback.

  • Best for medium to large businesses (100+ employees) seeking streamlined feature releases.

  • Ideal for software, IT, telecommunications, and other tech-forward industries.

  • Ideal for medium to large businesses (101+ employees), especially in B2B SaaS and e-commerce.

  • Best fit for E-commerce and Software/IT/Telecommunications companies seeking data-driven product development.

LaunchDarkly and Statsig features

Supported
Partially supported
Not supported
Type in the name of the feature or in your own words tell us what you need
  • A/B Testing
    Supported

    LaunchDarkly fully supports A/B testing and experimentation, including metric tracking.

    Supported

    Statsig provides A/B testing, allowing users to track metrics and make data-driven decisions.

  • Feature flag management
    Supported

    LaunchDarkly fully supports feature flag management, including targeted rollouts and rollbacks.

    Supported

    Statsig offers robust feature flag management, including targeted rollouts and rollbacks.

  • Feature Flag Targeting and Rules
    Supported

    LaunchDarkly fully supports feature flag targeting with custom rules and context attributes.

    Supported

    Statsig allows defining rules and conditions for feature flag activation.

  • Continuous delivery support
    Partially supported

    LaunchDarkly integrates with CI/CD tools but does not automate the entire deployment process itself.

    Partially supported

    Statsig enhances continuous delivery with feature flags and experimentation tools, but doesn't automate the entire process itself.

  • Multi-environment deployment
    Supported

    LaunchDarkly supports deploying applications to multiple environments like development, testing, and production.

    Supported

    Statsig supports deploying applications to development, testing, and production environments.

  • Deployment automation
    Partially supported

    LaunchDarkly automates feature rollouts within deployments, but not the deployments themselves.

    Not supported

    Statsig does not directly support automated deployment to various environments.

Qualities

  • Value and Pricing Transparency
    No data
    No data
  • Customer Service
    No data
    No data
  • Ease of Use
    No data
    No data
  • Reliability and Performance
    No data
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  • Ease of Implementation
    No data
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  • Scalability
    No data
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LaunchDarkly and Statsig Pricing
No data

See full Pricing page

Statsig offers a free plan and a Pro plan with usage-based pricing. The Enterprise plan has custom pricing. The pricing model is usage-based, charging for metered events.
Plans

See full Pricing page

LaunchDarkly and Statsig review insights

Users love

  • Easy to use and implement feature flags.
  • Seamless integration with various platforms and SDKs.
  • Real-time updates and fast flag propagation.
  • Flexible targeting and custom rules for rollouts.
  • Comprehensive analytics and change history tracking.
  • Extremely reactive and helpful customer support.
  • Easy implementation for A/B testing and feature flagging.
  • Seamless integration with various analytics tools like Amplitude and GA4.
  • User-friendly interface for setting up and monitoring experiments.
  • Robust reporting features provide valuable insights into experiment results.

Users dislike

  • New UI is confusing and less intuitive than the old UI.
  • Difficult to manage a large number of flags across multiple environments.
  • High cost per seat, limiting access for larger teams.
  • Occasional downtime or slow performance.
  • Lack of robust default/fallback options in the SDK.
  • Non-working hours support needs improvement, lacking a clear escalation process.
  • Debugging experiment results and associating entities with groups can be challenging.
  • Raw data export limitations require exporting exposures for group association.
  • Some users find documentation lacking, especially for APIs and advanced features.
  • Initial setup and understanding the results tab can be complex for some users.

LaunchDarkly and Statsig Ratings

  • G2
    4.5/5
    (486)
  • Capterra
    4.8/5
    (20)
  • TrustPilot
    3.2/5
    (1)
  • Glassdoor
    3.3/5
    (114)
  • G2
    4.7/5
    (58)

Company health

Employee growth

2% increase in the last year
38% increase in the last year

Web traffic

11% decrease in the last quarter
6% decrease in the last quarter

Financing

May 2021 - $330M
December 2021 - $53M

How do LaunchDarkly's feature flag controls compare with Statsig's A/B testing features?

LaunchDarkly primarily focuses on feature flag management for release control and targeted rollouts. While it can be used for A/B testing, Statsig more explicitly emphasizes A/B testing functionality with built-in tools for metrics tracking, analysis, and data-driven decision-making. Essentially, LaunchDarkly provides the infrastructure for controlled feature releases, whereas Statsig builds upon that concept with a dedicated framework for experimentation and optimization.

Which product best integrates with existing analytics tools for comprehensive data analysis?

Statsig better integrates with existing analytics tools. User reviews specifically praise its seamless integration with tools like Amplitude and GA4. While LaunchDarkly offers integrations, Statsig's focus on analytics and the positive user feedback regarding its integrations make it the stronger choice for comprehensive data analysis.

What are the advantages of LaunchDarkly?

LaunchDarkly focuses primarily on feature flag management, allowing for granular control over feature rollouts and targeting. This specialized approach makes it potentially easier to use and implement for feature flagging compared to Statsig, which offers a broader suite of tools including A/B testing and product analytics. LaunchDarkly's established presence in the market suggests a mature product and potentially better integration options.

What are the disadvantages of LaunchDarkly?

LaunchDarkly's main disadvantages include a confusing new UI, difficulty managing numerous flags, high cost per seat, occasional performance issues, and a lack of robust default/fallback options in the SDK. Some users have also reported dissatisfaction with the new UI compared to the older version.

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Page co-authored by
MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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