数据整合工具魔力象限.docx

Magic Quadrant for Data Integration Tools27 October 2011 ID:Analyst(s): Eric Thoo, Ted Friedman, Mark A. Beyer VIEW SUMMARYDemand for data integration tools is growing to support the acquisition, alignment and sharing of data, which is now extreme in its volume, variety and velocity. The market still favors offerings that offer fast time-to-value, enable enterprise scalability and support multiple data delivery styles. What You Need to KnowA substantial number of the offerings in the data integration tools market are achieving a comprehensive range of functions, delivering high performance and enabling scalability to fulfill enterprises data integration needs. Demand trends have given rise to new challenges in 2011. Fresh needs arising from contemporary challenges are presenting new opportunities in this market as buyers seek to address data integration as a critical aspect of a coherent information management capability, and to integrate disparate data sources (including emerging sources such as big data) and new data types into a cohesive and usable set of information. The competitive landscape reflects vendors pursuit of a more comprehensive offering strategy to support a broad range of uses and capitalize on new demand. Diverse needs to exploit data are forcing enterprises to manage their data assets differently. The raising of the bar among IT leaders is demanding synergy between functions, performance and scalability in data integration tools, so that they operate well with the same vendors technology stack and, increasingly, interoperate with data management initiatives in areas such as data quality, master data management (MDM), metadata management, and can cope with the explosion in the volume, variety and velocity of data. Business imperatives to confront new information challenges are driving the need for a realignment of technology vision in this market. Meanwhile, IT leaders continue to emphasize cost-effectiveness (perceived value of function