General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Web data extraction (web data mining, web scraping) tool. It leverages well proved XML and text processing techologies in order to easely extract useful data from arbitrary web pages.
eXist-db is a feature rich Open Source native XML database
eXist-db is a native XML database featuring efficient, index-based XQuery processing, extensions for keyword search, XUpdate support, XSLT support, XForms support, REST and tight integration with existing XML development tools. Moved to Github - https://www.github.com/exist-db/exist
Framework for search and display of heterogenous document collections.
NOTICE: This code repository is deprecated. Please visit https://github.com/cdlib/xtf for the latest updates.
Obsolete Description: The eXtensible Text Framework (XTF) is an architecture that supports searching across collections of heterogeneous textual data (XML, PDF, HTML, text, and more), and the presentation of results and documents in a highly configurable manner. Includes highly customized versions of the proven open-source components Lucene and Saxon.
PHP-Index uses a plain text file as an index for a efficient search on data. The index is a simple ordered list, so a binary search can be performed. Current implementation supports a XML document as database.
The Retrieval Component Integrator Project (RECOIN) intends to provide an extensible framework of Java classes to build a meta-search and information retrieval (IR) system based on heterogenous IR components as part of a modular retrieval process. The so
TM4J is a topic map engine implemented entirely in Java. Topic maps are a standard paradigm for the interchange of knowledge structures. This project aims to produce a complete suite of tools for creating, processing and publishing topic map information.