New highlights of IBM DB2: database integration with efficient search

CCID news] recently, IBM plans to add the newly developed search technology to its software for connecting scattered data sources.

New York-based company Armonk says it will launch a new research project called WebFountain, which allows people to search for enterprise databases as conveniently as they search for information on the Internet. This function will be integrated into the second edition of the database DB2 information integrator, codenamed Masala.

Last week, IBM executives said the upgrade will be completed in the second half of next year, and early demonstrations and testing programs should be completed by the end of this year.

"We really know what troubles customers need to search for information quickly in their own complicated databases and other internal enterprise information," said Nelson Mattos, manager of the IBM Information Integration Department, "Masala uses a series of advanced enterprise-level search technologies, allowing you to search all your data at will."

DB2 information integrator is a database server launched by IBM at the beginning of this year. This server allows users to search for information in a variety of data sources, including enterprise databases and tables on users' desktops, customers do not need to build a large, single, and well-organized data warehouse, just as users use google search information on the Internet, employees can search all text-based data within the enterprise to obtain useful and relevant information. Mattos says IBM will likely use this feature in WebSphere.

IBM is one of several companies that invest in data integration, also known as enterprise information integration (EII ). Bea's related products are called Liquid Data, which is based on XML. Metamatiix has started this aspect. In July, Actuate acquired Nimble Technology, which is also focused on EII.

Although the EII software is relatively immature, it does attract users. Analysts say that companies do not have to invest in new databases to search for the information they need from existing irregular data, really good.