Compare eG Enterprise vs Elastic APM

The single interface for monitoring various applications simplifies management and improves user experience, reducing the learning curve and making it accessible for teams.

With real-time monitoring, the platform provides actionable insights instantly, enabling developers and IT professionals to address performance issues without delays.

eG Enterprise allows users to tailor monitoring to their specific IT environments, whether they are dealing with out-of-the-box or custom applications, enhancing the relevance and usefulness of the data.

The software provides detailed transaction, operational, and usage metrics, allowing IT teams to understand application performance down to the transaction level, helping to identify and fix issues efficiently.

Elastic APM integrates with CI/CD pipelines, providing continuous visibility during deployments. Teams can track performance regressions tied to specific releases, versions, or nodes, helping catch issues early in the development lifecycle.

Using machine learning, Elastic APM offers smarter sampling and anomaly detection, enabling faster identification of performance issues, even in complex and intermittent scenarios. This leads to quicker root cause analysis and resolution.

Elastic APM supports a wide range of popular programming languages, including Java, .NET, Python, PHP, and Go. This ensures that teams can use the platform for various tech stacks without needing additional tools or integrations.

The platform supports distributed tracing, which captures and tracks transactions across various environments, including AWS Lambda. This makes it easy to identify issues that span multiple services and provides a holistic view of application performance.