While Eppo specializes in experimentation and A/B testing, Firebase offers a broader suite of tools for app development, including backend infrastructure, user authentication, and real-time data synchronization.
Eppo is a next-generation experimentation platform designed for modern data teams. It offers an end-to-end solution that makes advanced A/B testing accessible to everyone in an organization, enabling businesses to accelerate experiment velocity without compromising rigor.
Eppo's platform is powered by a warehouse-native architecture, ensuring complete metric governance, key-metric impact measurement, and data privacy. This architecture is the key to fast, reliable experiments and allows for seamless integration with existing analytics infrastructure and engineering workflows.
Eppo's core offerings include:
Experimentation: A world-class statistical engine that automates experiment analysis while maintaining rigor
Feature Flagging: Fast and resilient feature flags for A/B tests, controlled rollouts, and dynamic no-code configuration
Personalization: Contextual Bandits that automatically optimize user experiences in real-time or get more value from AI models
AI Model Evaluation: Build more effective AI products by evaluating models through experiments with trusted business metrics
Eppo's platform is geared toward fast-growing teams looking to unlock advanced experimentation methods, such as holdouts for measuring the cumulative impact of experimentation programs and mutually exclusive experiments for enterprise teams requiring guaranteed isolation. It is also designed for organizations aiming to build a culture of experimentation with expert guidance and powerful tools.
Firebase is a comprehensive mobile and web app development platform created by Google. It offers an integrated suite of products that cover various aspects of app development, including building, testing, releasing, monitoring, and engaging with users.
Firebase provides several key tools for building apps:
App Hosting for hosting web apps
Authentication for user sign-in and identity management
Cloud Functions for running backend code
Cloud Storage for storing and serving files
Firestore and Realtime Database for storing and syncing data in real-time
Additionally, Firebase offers a set of tools to help developers run and optimize their apps, such as A/B Testing, App Distribution, Cloud Messaging, Crashlytics, Google Analytics, Performance Monitoring, and more. The platform also includes integrations with Vertex AI, Genkit, and Gemini, allowing developers to incorporate generative AI capabilities into their apps.
Firebase's platform is geared toward developers looking to build high-quality mobile and web apps with scalable infrastructure backed by Google Cloud. It aims to be a one-stop-shop for app development needs, helping teams focus on creating amazing user experiences while the platform handles the infrastructure and scaling.
Eppo's pricing information is not publicly disclosed on their website. Interested parties need to contact Eppo's team for a customized pricing quote. Pricing is likely tailored based on usage volume, experiment complexity, and support needs.
Firebase offers a Spark plan (no-cost with generous limits) and Blaze plan (pay-as-you-go). The Blaze plan charges based on usage of Firebase products and underlying Google Cloud infrastructure. Many products offer a certain amount of no-cost usage before paid tiers kick in.
Eppo is well-suited for teams focused on rigorous experimentation and metric governance across the organization. The platform's warehouse-native architecture ensures complete metric governance, key-metric impact measurement, and data privacy. Fast-growing companies looking to scale their experimentation programs with advanced methods like holdouts, contextual bandits, and mutually exclusive experiments will find Eppo's capabilities particularly valuable.
However, the lack of transparent pricing information on Eppo's website may deter some potential customers. Additionally, there is limited information available regarding collaboration features and in-house support for experimentation guidance. The warehouse-native architecture may also introduce potential delays in propagating changes, which could be a consideration for teams requiring real-time updates.
TL;DR: Eppo is better suited for organizations prioritizing rigorous experimentation and metric governance, but may not be the best fit for teams seeking transparent pricing and real-time updates.
Firebase is well-suited for mobile and web app development teams seeking a comprehensive, integrated platform. The platform's wide range of tools and services, covering building, testing, releasing, monitoring, and engaging users, make it an attractive choice for teams looking for a one-stop-shop solution. Firebase's AI capabilities, through integrations with Vertex AI, Genkit, and Gemini, also make it appealing for businesses looking to incorporate AI-powered features into their apps.
However, while Firebase offers a comprehensive suite of tools, it may not provide the same depth of experimentation capabilities as specialized platforms like Statsig. Teams requiring advanced experimentation methods, such as holdouts and contextual bandits, may find Firebase's offerings limited in comparison. Additionally, as usage scales across multiple Firebase products, the pricing structure can become complex, potentially leading to unexpected costs for teams not closely monitoring their usage.
TL;DR: Firebase is better suited for mobile and web app development teams seeking a comprehensive, integrated platform with AI capabilities, but may not offer the same depth of experimentation features as specialized platforms.
Statsig is an all-in-one platform that offers feature flags, product analytics, and experimentation trusted by companies like Notion, Atlassian, and Whatnot. With generous free and startup tiers, plus enterprise-grade features, Statsig scales with you from startup to large enterprise.
Whether you're just starting or running thousands of experiments, Statsig can help — sign up for free to get started.
The Statsig <> Azure AI Integration is a powerful solution for configuring, measuring, and optimizing AI applications. Read More ⇾
Take an inside look at how we built Statsig, and why we handle assignment the way we do. Read More ⇾
Learn the takeaways from Ron Kohavi's presentation at Significance Summit wherein he discussed the challenges of experimentation and how to overcome them. Read More ⇾
Learn how the iconic t-test adapts to real-world A/B testing challenges and discover when alternatives might deliver better results for your experiments. Read More ⇾
See how we’re making support faster, smarter, and more personal for every user by automating what we can, and leveraging real, human help from our engineers. Read More ⇾
Marketing platforms offer basic A/B testing, but their analysis tools fall short. Here's how Statsig helps you bridge the gap and unlock deeper insights. Read More ⇾