Eppo is a next-generation experimentation platform that enhances data team capabilities with features like A/B testing, feature flagging, and advanced data management.

Company Overview

Eppo is a company that provides a next-generation experimentation platform tailored for data teams. Its platform supports a range of functionalities including experimentation, feature flagging, and contextual bandits. Eppo's innovative use of a warehouse-native architecture ensures data integrity and efficiency.

Services

Eppo offers a comprehensive set of services designed to support data-driven experimentation within organizations. These services include advanced A/B testing, feature flagging, contextual bandits, and self-serve experimentation with detailed reporting capabilities. The platform also supports safe deployment practices through feature flags and remote configuration, making it easier for teams to manage and execute experiments.

Technology Architecture

Eppo utilizes a warehouse-native architecture which ensures zero-copy data handling, maintaining data trust and reliability. This architecture enables seamless integration with existing data warehouses, allowing for trusted data access and optimized data warehouse costs. Additionally, Eppo provides lightweight SDKs for both client and server, ensuring consistent experimentation assignments across different environments.

Experimentation Features

Eppo's platform comes equipped with a range of experimentation features such as feature gates, rollouts, holdouts, kill switches, and a no-code dynamic configuration. These features enable organizations to perform controlled and reliable experimentation, optimizing their rollout strategies while maintaining complete metric governance.

Deployment and Reporting

Eppo supports robust deployment capabilities with feature flags and remote configuration. The platform allows for real-time monitoring and adjustments, ensuring experiments are safely deployed. Additionally, Eppo's out-of-the-box reporting and slice-and-dice capabilities allow team members to conduct self-serve experimentation, providing detailed insights without the need for extensive technical expertise.

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