Infonyte
XML Data Storage Technologies & Trends
While file systems, relational, and object-oriented database management systems have met our needs in prior years for data storage and retrieval, XML imposes new requirements on how that information needs to be stored so that it can be retrieved in a structured, hierarchical manner. This ZapThink report, “XML Data Storage Technologies and Trends” covers the various commercial options that focus on meeting the requirements for XML storage and retrieval, and identifies benefits, disadvantages, key market drivers, and sizing and growth of the market for these products.
XML Data Storage Technologies and Trends
While file systems, relational, and object-oriented database management systems have met our needs in prior years for data storage and retrieval, XML imposes new requirements on how that information needs to be stored so that it can be retrieved in a structured, hierarchical manner. This ZapThink report, “XML Data Storage Technologies and Trends” covers the various commercial options that focus on meeting the requirements for XML storage and retrieval, and identifies benefits, disadvantages, key market drivers, and sizing and growth of the market for these products.
ZapNote: Infonyte
The increasing use of XML is necessitating a general storage and retrieval system that can handle the specific needs of XML document archival. Infonyte provides a Native XML Data store (NXD) solution that is a compact called Infonyte-DB that uses a persistent implementation of the Document Object Model (DOM) as its primary storage mechanism.
ZapNote: XYZFind
XYZFind provides a general-purpose NXD storage and retrieval system for XML documents, regardless of their content or schema. XYZFind aims to solve the problem of search and query over identifiable "islands of data" where the content its too varied to accommodate with file system tools. XYZFind’s utilizes a proprietary query language and has a proprietary, text-based storage architecture that utilizes a meta-schema encompassing an aggregate, schema-independent view of the data.
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