ZapNote: Epistemic
Traditional business intelligence (BI) solutions are often inflexible and incomplete, because they depend on rigidly structured data found in relational database systems (RDBMS). Such solutions often exclude nonrelational data, and force users into a "SQL query" mindset. Epistemic leverages the power of Web Services to break free from the traditional relational database/SQL query approach to business intelligence that poorly addresses non-relational data and provides intelligence of limited use. Where business analysts using these traditional tools must massage the results in Excel in order to analyze them, analysts using the Epicentric Analytics Toolkit can begin their analysis right away. Epistemic’s use of Web Services provides two important lessons for other software vendors: first, Web Services can provide substantial value to vendors who do not consider themselves "Web Services vendors," and second, Web Services offer much more than simple point-to-point integration.[hide -2]Download File[/hide][hide +1]Purchase: $395[/hide]…

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ZapNote: Ipedo
Ipedo has developed a proprietary, hierarchical, in-memory database engine aimed at storing XML documents "natively". The Ipedo XML Database uses memory techniques to get substantial performance gains versus some other NXD approaches. Built as an all-Java server, the Ipedo system is meant to be easily integrated with typical application server environments. Ipedo has extended XPath for search across multiple XML documents and has also included XSLT transformations within the data store itself.[hide -2]Download File[/hide][hide +1]Purchase: $395[/hide]…

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ZapNote: X-Hive
The most valuable attribute of Native XML Data Stores (NXDs) is their ability to store arbitrary and highly variant XML documents. XML-enabled RDBMS systems require explicit mappings to XML documents, and by their very nature are unable to deal with XML documents that have a highly variable structure and take advantage of XML’s extensibility capabilities. X-Hive provides a solution to this problem by presenting a highly scalable NXD system that is capable of supporting a large quantity and volume of XML documents. X-Hive/DB is differentiated itself by its focus on high volume XML data storage requirements, support for advanced XML query and storage specifications, and focused support of its European customer base.[hide -1]Download File[/hide][hide +0]Register to Access this Document[/hide]…

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ZapNote: B-Bop
The only true solutions for enterprise-wide XML data storage and retrieval are XML-enabled RDBMS and Native XML Data Store (NXD) approaches. The challenge with XML-enabled RDBMS is that they are not very well suited to highly extensible and flexible documents, while the challenge with NXDs is that they are unproven technologies with very small user bases. However, there is another option that is a sort of "middle ground": the use of an interpretive middle layer over standard RDBMS systems that offers schema-independent, "native" XML data storage. In this vein, B-Bop offers their Xfinity Server as a way of providing the features of Native XML storage while utilizing existing relational storage architectures. B-BOP: XFINITY SERVER LEVERAGING RELATIONAL DATABASES FOR XML STORAGE…

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ZapNote: NeoCore
Rather than being forced to map XML documents to an alternate data representation format or insert an entire XML document into a single field as is the case with XML-enabled RDBMS, the Native XML Data Store (NXD) can accept XML documents for storage and retrieval without any modifications, mapping, or transformations. NeoCore provides a patented NXD approach that assigns a unique fingerprint called an "icon" to each XML document and then applies hashing and storage techniques to these iconic representations. This approach allows the user to experience speed and indexing improvements over other methods of XML storage and retrieval and exploits XML structure by self-constructing the data store, reducing development time.[hide -1]Download File[/hide][hide +0]Register to Access this Document[/hide]…

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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.[hide -2]Download File[/hide][hide +1]Purchase: $1495[/hide]…

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XML Data Storage Technologies and Trends
Key Findings: XML content needs to be stored in a manner that it can be searched and retrieved back in XML format. This seemingly simple requirement has profound impact for existing data storage technologies. Expenditure on XML Storage solutions will grow from $75 million in 2000 to over $4.1 Billion (US) in 2005 XML-enabled RDBMS vendors consumed only 15% of that market in 2000, but will consume over 65% of the total expenditure by 2005. Native XML Data Store (NXD) vendors will realize around $1.6 Billion in revenue by 2005 The primary methods in use today for storing XML documents include XML-enabled (or extended) relational databases, NXDs, Content Management stores, and file systems. NXDs will increasingly become a solution of choice for storage of document-oriented XML content as well as Web Services, B2B messaging, and other transactional formats. RDBMS vendors will continue to add XML support to their systems…

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