ConfigCat vs Statsig: Feature Flags Comparison (2026)
ConfigCat offers a more generous free tier with unlimited feature flags, environments, and API access, making it suitable for small teams and projects with extensive flagging needs. Statsig, while offering a free tier, has more limitations, particularly in event volume and project support at lower tiers. Statsig excels in advanced experimentation and warehouse-native deployment, catering to data-intensive use cases.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask feature flags questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
- ✓Unlimited Feature Flags
- ✓Unlimited Environments
- ✓Unlimited API Access
- ✓5 million config JSON downloads/month
- ✓99.9% uptime
- ✓No credit card required for free tier
- ✓Team Management with unlimited members
- ✓2FA and SSO support
- ✓2M events/month
- ✓Unlimited flag & config checks
- ✓100,000 session replays/month
- ✓1-year analytics retention
- ✓Advanced experimentation
- ✓API controls
- ✓Priority support
- ✓Warehouse native deployment
When to choose ConfigCat
ConfigCat is preferable for users who prioritize a comprehensive free tier with unlimited core feature flagging capabilities, especially for smaller teams or projects. Its extensive integrations beyond data warehousing, such as GitHub and Jira, make it suitable for broader development and project management workflows.
When to choose Statsig
Statsig is suitable for users who require advanced experimentation features, warehouse-native deployment, and robust analytics with longer data retention. Its focus on event-driven metrics and integrations with data platforms like Snowflake and Databricks makes it ideal for data-intensive applications and large-scale A/B testing.