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Description

Jetty serves as both a web server and a servlet container, offering capabilities for HTTP/2, WebSocket, OSGi, JMX, JNDI, JAAS, among other integrations. These elements are open source, allowing for free commercial use and distribution. Jetty finds application in a diverse range of projects and products across development and production environments. Developers have preferred Jetty for years due to its strong history of easy embedding in devices, tools, frameworks, application servers, and contemporary cloud services. It is a robust, standards-compliant framework that is open source and usable commercially, featuring flexibility, extensibility, a small footprint, and support for asynchronous operations, all while being enterprise scalable and dual-licensed under both Apache and Eclipse. It is utilized in large-scale clusters like Facebook Presto and in cloud computing platforms such as Google AppEngine. As Java and the JakartaEE project (previously JavaEE) evolved in 2020, the current recommended Jetty version hinges on factors such as the servlet API version and licensing preferences. Jetty continues to adapt, ensuring it meets the evolving needs of modern software development.

Description

Presto serves as an open-source distributed SQL query engine designed for executing interactive analytic queries across data sources that can range in size from gigabytes to petabytes. It addresses the challenges faced by data engineers who often navigate multiple query languages and interfaces tied to isolated databases and storage systems. Presto stands out as a quick and dependable solution by offering a unified ANSI SQL interface for comprehensive data analytics and your open lakehouse. Relying on different engines for various workloads often leads to the necessity of re-platforming in the future. However, with Presto, you benefit from a singular, familiar ANSI SQL language and one engine for all your analytic needs, negating the need to transition to another lakehouse engine. Additionally, it efficiently accommodates both interactive and batch workloads, handling small to large datasets and scaling from just a few users to thousands. By providing a straightforward ANSI SQL interface for all your data residing in varied siloed systems, Presto effectively integrates your entire data ecosystem, fostering seamless collaboration and accessibility across platforms. Ultimately, this integration empowers organizations to make more informed decisions based on a comprehensive view of their data landscape.