- Datadog (DDOG, Financial) acquires Eppo to enhance its Product Analytics suite with feature flagging and experimentation capabilities.
- The integration creates a comprehensive analytics solution, combining observability with real-time measurement of AI model impact.
- Eppo will continue to operate independently as 'Eppo by Datadog', supporting both current and new customers.
In a strategic move to augment its Product Analytics suite, Datadog, Inc. (DDOG), a leading cloud applications monitoring and security platform, announced the acquisition of Eppo, a feature flagging and experimentation platform. This acquisition aims to integrate Eppo's capabilities into Datadog's existing suite, creating a holistic product analytics solution that facilitates real-time observation, experimentation, and feature management.
The acquisition serves as a pivotal enhancement for Artificial Intelligence (AI) workloads. With Eppo's capabilities, developers can safely scale complex AI systems by measuring the user experience impact in real time. This functionality allows teams to simultaneously compare multiple AI models, assess user engagement vis-Ã -vis costs, and ensure the delivery of measurable value. These enhancements are particularly vital as organizations increasingly deploy complex AI systems.
Datadog's acquisition not only simplifies the deployment of AI features but also reduces the risk of development by allowing engineering teams to track code changes with feature flags, design and measure experiment impacts, and analyze product usages and outcomes within a unified platform. This reduces the need to piece together different analytics tools, enabling a seamless workflow from code deployment through impact measurement.
Following the acquisition, Eppo will continue operating under the brand 'Eppo by Datadog', maintaining support for its existing clientele while onboarding new customers. This approach ensures continuity and expands Datadog's platform capabilities, offering enhanced value to existing Datadog customers, particularly those developing AI applications.
