Relational databases are not built to handle transient, high-volume flows of irregularly shaped data. These are the transaction currency of a service-oriented network. There is going to be an astronomical number of messages. While the messages are in flight, new kinds of dynamic message stores are needed to index, search, monitor, and correlate them.
When mapping an XML document into a relational database, some information about the document will be lost. XML storage databases do not have this shortcoming. If data must retain its original structure, into and out of storage, then XML based storage is the best solution. Enterprise integration maintenance of logs of messages exchanged between systems is one example of when XML storage needs to be maintained.
XML imposes structure on data without the rigid field record configuration that is not appropriate for many situations. Storing XML with a schema of a fixed structure can be done in a relational database. This is the better solution for structured data. A telephone book has entries of a name, an address, and a telephone number. Relational databases are generally a good way to store highly structured data.
At some point, all databases will be XML enabled. Databases are for handling highly structured data, information arranged in records and fields as subsets of those records. To the extent that this structured information is contained in XML format, databases need to be able to store it in that manner. Markets that start at $13.2 million in 2004 are expected to reach $1.4 billion by 2009.
XML data aggregation is used for handling unstructured data in XML format. All the tags and descriptive information that come with XML make the formats flexible and useful as XML. Information arranged in the flexible format. To the extent that the unstructured information and combinations of structured and unstructured information are contained in XML format, mid tier aggregation is needed to be able to store information while it is in transition. Markets that start at $44.7 million in 2004 are expected to reach $1.8 billion by 2009.
The research firm identifies key players in this segment: IBM Corporation, Oracle. Microsoft, NCR, Sybase, BEA, Data Power Technology, Fiorano Software
Francisco Partners/Global, eXchange Services (GXS), Fujitsu, Interwoven,
WebMethods Information Software, IONA Technologies, ItemField, Kabira Technologies, MQSoftware, Raining Data, Sarvega, See Beyond, Sopra/Viewlocity
Software AG, Tibco, Vitria, Builder/iWay
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