Product teams move from LaunchDarkly to GrowthBook when they want to cut their feature flag costs by 5X while adding industry-leading experimentation.
GrowthBook is the clear alternative to Eppo for teams that want open-source experimentation, self-hosting, and predictable pricing without platform lock-in.
- Ship features faster and run experiments anywhere using developer-friendly design
- Own your experiment data with warehouse-native transparency and self-hosted option
- Run 5x more experiments at 1/5th the cost
- Best for large data teams already using the Datadog platform
- Complex to implement and operate
- Costs are less predictable and more expensive as experimentation scales
GrowthBook is built to help teams run more experiments and build better products. Eppo has traditionally served data and product teams, but since being acquired by Datadog, its roadmap is increasingly focused on observability workflows.
Developer-friendly, full-stack experimentation platform
Part of Datadog observability and analytics platform
Designed For
Developers, product teams, analysts
Data and observability teams
Primary Use
Test any new feature you build in any platform
Experiments managed by centralized data teams
Statistical Methods
Bayesian, frequentist, sequential (with CUPED, post-stratification)
Bayesian, frequentist, sequential (with CUPED)
Deployment Options
Cloud or fully self-hosted
Vendor-managed only
Pricing & Plans
Per-seat pricing with unlimited tests, unlimited traffic
No free tier, enterprise pricing with usage-based cost variability
Setup Time
Hours
Days to weeks
When experimentation gets complex and expensive, it’s time to switch to GrowthBook.
Eppo customers are switching to GrowthBook to reduce costs, run more experiments by more teams, and get full control over deployment and data.
GrowthBook
- Developer-friendly, intuitive environment for fast iteration
- Chrome debugger + visual editor
- Clear documentation, AI chatbot access, and responsive support
- Flexible for both technical and non-technical stakeholders
- 24+ SDKs: JavaScript, React, Node.js, Python, Ruby, Go, PHP, Java, Swift, Kotlin, etc.
Eppo
- Requires data team to define or change core metrics
- Complex for non-technical users
- Slower iteration
Performance & Scale
GrowthBook is designed for high-velocity experimentation on full traffic with low latency.
GrowthBook
- Run any number of experiments on any amount of traffic
- Low-latency SDKs with rapid rule processing
- Scales from small teams to large enterprises on the same core platform
- 99.999% uptime for high traffic websites and apps
Eppo
- Vendor-managed delivery with less control over runtime behavior
- Results updated on a daily cadence
- Less suited for running experiments on full traffic at high speed
Experimentation Depth & Flexibility
GrowthBook supports more experiment types across more execution models, helping teams answer complex product questions without switching tools.
GrowthBook
- Testing types: Supports A/B tests, multivariate tests, redirects, visual editor, and holdouts
- Full-stack coverage: server-side, client-side, mobile, and edge experiments
- Flexible targeting and randomization units user, location, postal code, URL path, etc.
- Statistical frameworks: Bayesian, frequentist, sequential (with CUPED, post-stratification)
Eppo
- Includes advanced methods like contextual bandits and GeoLift
- Results updated once daily, dramatically slowing iteration
- Better fit for highly statistical experimentation programs than fast product iteration
Feature Flagging & Flag-Based Experiments
GrowthBook is preferred by teams that consider feature flags core infrastructure to product development.
GrowthBook
- World-class feature flags at the core
- Controlled rollouts, gradual exposure, and instant kill switches
- Zero network call SDKs for low latency and high reliability
- Unified system for flags and experiments
Eppo
- Requires Datadog APM and RUM for full value
- Less focused on developer workflows
Transparency & Warehouse-Native Architecture
GrowthBook balances complete warehouse-native transparency with usability, so users can quickly validate results across teams.
GrowthBook
- Bring your data architecture Snowflake, BigQuery, Redshift, Postgres, etc.
- Analyze all your product and experimentation data in one place
- Customize metrics using SQL, use metric libraries, and even add metrics retroactively
- Reproduce and confirm any GrowthBook calculation
Eppo
- Limited warehouse integrations
- Built around centrally defined metrics and measurement standards
- Less transparent for non-technical teams to validate results without data-team support
- Less flexible for teams that want to add or adjust metrics quickly
Privacy, Security & Deployment
GrowthBook’s self hosting option works well for any industries with strict privacy and compliance requirements, while Eppo is SaaS-only.
GrowthBook
- Fully self-hosted, air-gapped option for data residency requirements
- Meets strict privacy compliance requirements GDPR, HIPAA, CCPA, SOC 2 Type II certified
- No end-user PII required. Your data stays in your data warehouse
- Open-source code is publicly available for security review on GitHub
Eppo
- SaaS-only deployment with no self-hosted option
- Not suitable for organizations requiring full infrastructure control or strict data residency
- Eppo Data solution is compliant with various data protection laws and regulations
AI-Ready & Future-Proof
GrowthBook gives teams building AI products the control they need to test and optimize features for better engagement and outcomes.
GrowthBook
- 3 of the 5 leading AI companies use GrowthBook to optimize their chatbots and APIs
- Design highly customized metrics to measure engagement, usage and outcomes
- Tune AI responses per use case with very targeted experiments
- MCP integration for natural language access to GrowthBook in IDE (Claude Code, Cursor, VS Code, etc.)
Eppo
- AI model and prompt evaluation to compare prompt or model variations
- Experimentation structured around defined metrics and analytics workflows
- Less flexible for teams iterating quickly on evolving AI product features
Cost of Ownership
GrowthBook keeps experimentation costs affordable and predictable and encourages teams to run more tests.
GrowthBook
- Predictable per-seat pricing with unlimited experiments and unlimited traffic
- Free tier and open source options
- Enterprise self-hosting gives customers flexibility and control
- Warehouse-native architecture means you do not pay twice to capture the same data
Eppo
- Enterprise pricing on request, no transparent or free tier
- More expensive and less predictable usage-based billing
- Complexity increases time and resources
What do GrowthBook users say?
"Being able to spin up new metrics mid-experiment is a game changer. This was simply never possible before."
"Easy set up, extremely powerful and [complete] data transparency."
FAQs
How does pricing compare between GrowthBook and Eppo?
GrowthBook pricing is more predictable and less expensive than Eppo’s. GrowthBook uses per-seat pricing with unlimited traffic, while Eppo relies on enterprise pricing with limited transparency as usage grows.
How do GrowthBook and Eppo compare on statistics and experimentation depth?
Both support rigorous experimentation, but GrowthBook is more product-oriented. GrowthBook runs advanced analysis in your warehouse, while Eppo is built for data-team workflows and governing metrics.
Does Eppo require a strong data team to run experiments effectively?
Yes, Eppo usually works best with a dedicated data team. GrowthBook allows product and engineering teams to run experiments independently. Guardrails, metrics, and decision frameworks ensure everyone is analyzing the same way.
Do GrowthBook and Eppo support self-hosting?
GrowthBook supports full self-hosting, while Eppo is SaaS-only. This gives GrowthBook users greater control over infrastructure, performance, and data residency.
Is GrowthBook easier to use than Eppo for product and cross-functional teams?
Yes, GrowthBook is easier for product and cross-functional teams than Eppo. GrowthBook lets product and engineering teams launch and analyze experiments without heavy data-team involvement, while Eppo usually needs centralized analytics support.
What is the main difference between GrowthBook and Eppo?
GrowthBook is built for product teams, while Eppo is built for experimentation led by a centralized data team. GrowthBook enables self-service experimentation with centralized control and standards. Eppo requires data teams to manage experiments.
