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Because Jetty is built by an assembly of simple components it is very easy to work with. Where possible, features are added by aggregation of components rather than creation of complex deep/optional APIs Assembly and configuration can be done by the java API, the jetty XML configuration file, which is an IOC style mapping of XML to POJO APIs, other IOC/component frameworks such as Spring and Plexus, OSGi activators, and other XML to POJO mappings such as XBeans All APIs are public which has resulted in all of the Jetty code being very well maintained and easily understood. See More
Jetty was not designed to be an application server, rather it was built from the ground up to be a collection of components that provide HTTP and servlet services. This results in Jetty being very flexible as well as the following benefits: Very simple to extend and/or replace components with customized behavior. The integration of Jetty into development tools like maven can be very flexible as the components that control the layout of a webapp can be updated to run an unassembled application from source rather than an assembled WAR. Very easy to remove features that are not being used to save on memory and CPU costs. Due to this flexibility Jetty can be used in the following use cases: A stand-alone traditional web server for static and dynamic content A dynamic content server behind a dedicated HTTP server such as Apache using mod_proxy or mod_jk An embedded component within a java application As a component to build an application server or Java EE server For a full list of software powered by Jetty go here. See More
A powerful data editor lets you add, remove, edit, and clone data rows. Navigate through the data by foreign keys and use the text search to find anything in the data displayed in the table editor. All your changes are stored locally and can be submitted at once. Multiple fields can also be edited at once. See More
MySQL, Oracle, PostgreSQL, IBM DB2, Microsoft SQL Server, Microsoft Access, Sybase, Java DB (Derby), Firebird (Interbase), Derby (JavaDB), SQLite, Mimer, HSQLDB, H2, IBM Informix, Teradata, SAP MAX DB, Cache, Ingres, Linter, Vertica, MongoDB, Cassandra, ODBC, Any JDBC compliant data source. See More
It works quite well under Wine with Linux, but you must always take notice if the last version of HeidiSQL has been tested, for it may not run at all. There are some bugs in the Wine version that can be annoying and you have to kill the program and restart it. A native Linux version would be great. See More