Gartner 2011 Magic Quadrants for Data Warehouse & Business Intelligence

Here you have some sponsored access to the 2011 Gartner Magic Quadrants about Business Intelligence Platforms and Data Warehouse Database Management Systems.

It’s always key to read the report and not just looking at the magic quadrants. The comparison of different vendors and suites is getting more and more complex, what challenges the decision makers to understand what they are really benchmarking.

Gartner Magic Quadrant for Data Warehouse Database Management Systems: link to report sponsored by Aster Data

Gartner Magic Quadrant for Data Warehouse Management Systems (January 2011)

MQ for DW Management Systems (Jan. 2011)

Gartner Magic Quadrant for Business Intelligence Platforms : link to report sponsored by Microsot

 

Gartner Magic Quadrant for Business Intelligence Platforms (January 2011)

MQ for Business Intelligence Platforms (Jan. 2011)

According to Gartner, 2011 will be the year when data warehousing reaches what could well be its most-significant inflection point since its inception.

“In 2011, we are seeing data warehouse platforms evolve from an information store supporting traditional business intelligence (BI) platforms to a broader analytics infrastructure supporting operational analytics, corporate performance management and other new applications and uses, such as operational BI and performance management,” said Donald Feinberg, vice president and distinguished analyst at Gartner. “Organizations are adding workloads with online transaction processing (OLTP) access, and data loading has moved to intra-day — approaching continuous — loading in many cases.”

“We are seeing revenue increases for software licensing in the data warehouse DBMS market as vendors have expanded their offerings and marketed their products as ‘easier to implement and manage’,” Mr. Feinberg said. “While cost is driving alternative architectures, performance optimization is driving multitiered data architectures, including a strong interest in in-memory data mart deployments. At the high end, data warehousing is now mission-critical.”

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2 Comments

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