Altova RaptorXML + XBRL Server for Windows

Name: Altova RaptorXML + XBRL Server
Rating: 4.5 (1 reviews)
Author: Altova

By Altova
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Key Details of Altova RaptorXML + XBRL Server

Make your XML and XBRL data processing easier on PC.
Last updated on December 17, 2019
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Developer’s Description

By Altova

Make your XML and XBRL data processing easier on PC.

Altova RaptorXML+XBRL Server is the third-generation, hyper-fast XML and XBRL server from the makers of XMLSpy. Altova drew upon its fifteen-year tenure as a leader in the XML tools field to architect RaptorXML from scratch, optimizing it for the latest standards and parallel computing environments. In today's organizations, Big Data trends and XBRL mandates are producing huge, ever increasing amounts of XML and XBRL data with rigid standards compliance requirements. RaptorXML+XBRL Server provides strict conformance with the latest version of all relevant XML and XBRL standards. Supported XML specifications include: XML 1.0 & 1.1, XInclude 1.0, Xlink 1.0, XML Schema 1.0 & 1.1, XPath 1.0, 2.0 & 3.0, XSLT 1.0, 2.0 & 3.0 (subset), XQuery 1.0 & 3.0, and others. XPath Extension functions for Java, .NET, and XBRL are also supported. Supported XBRL standards include: XBRL 2.1, XBRL Dimensions, XBRL Formula 1.0, XBRL Functions, and XBRL Definition Links. Validation and processing of these XML and XBRL standards takes place at lightning speed on RaptorXML+XBRL Server, which is optimized for the multi-core, multi-CPU computer and servers that are ubiquitous in today's IT landscape. Cross-platform support is provided for Windows (32- and 64-bit), Linux, and MacOS operating systems. Hyper-performance features such as ultra-high performance code optimizations and an ultra-low memory footprint, along with parallel loading, validation, and processing, deliver lightning fast processing of XML and XBRL documents. Streaming instance validation and streaming serialization are also supported. Superior error reporting capabilities speed troubleshooting. COM and Java APIs are available, as well as a Python interface and built in HTTP server with REST interface.