Eppo
The Warehouse-Native Experimentation Platform.
Overview
Eppo is a next-generation A/B experimentation platform designed for modern data teams. It connects directly to a company's data warehouse (like Snowflake, BigQuery, or Databricks), using existing data and metric definitions. This warehouse-native approach ensures trustworthy and statistically rigorous results, helping companies accelerate their experimentation velocity.
✨ Key Features
- Warehouse-Native A/B Testing
- Feature Flagging
- Advanced Statistical Analysis (CUPED)
- Metric Management
- Guardrail Metrics
- Experiment Reviews & Collaboration
🎯 Key Differentiators
- Warehouse-native architecture ensures a single source of truth
- Advanced statistical methods (e.g., CUPED) for more precise results
- Focus on collaboration between data, engineering, and product teams
- Separation of flagging/assignment from analysis
Unique Value: Transforms your data warehouse into a powerful, trustworthy experimentation engine, enabling teams to make high-quality, data-driven decisions.
🎯 Use Cases (5)
✅ Best For
- Warehouse-native experimentation
- Enterprise-scale A/B testing for data teams
- Statistically rigorous product development
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Companies without a modern data warehouse.
- Teams looking for a simple feature toggle tool without deep statistical analysis.
🏆 Alternatives
By being warehouse-native, it avoids data silos and discrepancies common with other tools, providing more reliable and trusted experiment results.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Custom tier)
🔒 Compliance & Security
💰 Pricing
Free tier: NA
📊 Market Info
Customers: 100+
Total Funding: $50.0M
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